AUTOMATION HISTORY

컴퓨팅입력 :2024/12/27 15:55 수정: 2024/12/28 07:05 공중제비를 도는 로봇부터 인간과 비슷한 표정을 짓는 로봇까지 올해 다양한 휴머노이드 로봇이 등장했다. 과학전문매체 라이브사이언스는 26일(이하 현지시간) 올해 소개됐던 휴머노이드 로봇 중 가장 진보된 로봇 7개를 선정해 보도했다. 1위 테슬라 옵티머스 로봇 2세대 테슬라는 지난 10월 ‘위, 로봇’(We, Robot) 행사에서 세련된 휴머노이드 로봇의 최신 세대 제품을 선보이며 참석자들을 열광시켰다. 하지만, 옵티머스 로봇이 자율적으로 움직인 것이 아닌 인간이 원격 조정한 것으로 알려지며 비판을 받기도 했다. 하지만 인공지능(AI) 기술과 고급 센서를 탑재한 옵티머스 로봇은 내년 중 테슬라 공장에 도입될 예정이다. 테슬라의 막대한 자금력과 최첨단 AI 기술, 배터리 기술 및 부품에 대한 접근성을 감안할 때 2세대 옵티머스 로봇은 오늘날 가장 완벽하고 진보된 휴머노이드 로봇으로 인정받을 만하다고 해당 매체는 전했다. 2위 보스턴다이내믹스 아틀라스 로봇 1.5m 높이 보스턴다이내믹스사의 휴머노이드 로봇 ‘아틀라스’는 놀라운 균형 감각을 지닌 것으로 유명하다. 시속 9km 속도로 달리고 점프하며 백플립도 문제 없어 균형감각은 물론 험난한 지형도 곧잘 다닐 수 있다. 하지만, 아틀라스 로봇은 아직 시제품 단계에 머물러 있어 출시되려면 조금 기다려야 할 것으로 보인다. 3위 아메카 로봇 영국 로봇기업 엔지니어드 아츠(Engineered Arts)가 개발한 아메카(Ameca) 로봇이 3위에 꼽혔다. 이 로봇은 사실적인 감정 표현과 손 동작을 할 수 있어 표정과 제스처는 정말 사람과 비슷해 약간 오싹한 느낌이 든다. 유연한 피부와 사실적인 눈에 온보드 또는 클라우드 기반 AI 기능을 갖춰 사람에게 미소로 응답하고 묻는 질문에 즉시 대답할 수도 있다. 다른 로봇들과의 차이점은 아메카가 아직 걸을 수 없다는 점이다. 대신 모듈식으로 설계돼 바퀴에 부착하거나 몸통과 머리만 구매할 수 있다. 4위 피규어 02 이 로봇도 옵티머스와 비슷하게 공상과학 영화에서 튀어나온 것 같이 생겼다. AI 휴머노이드 로봇스타트업 ‘피규어 AI’가 개발한 이 로봇은 1.68m 높이에 자유롭게 걷고 짐을 옮길 수 있는 휴머노이드 로봇이다. 피규어 02 로봇의 차별점은 오픈AI의 대규모 언어모델(LLM)을 적용해 말할 수 있다는 점이다. 먹을 것을 달라고 하면 사과를 건네주고 챗GPT처럼 말을 할 수 있다. 하지만, 이 로봇도 아직은 시제품 개발 단계에 머물러 있다. 5위 피닉스(Phoenix) 로봇 캐나다 AI 로봇 전문기업 생츄어리 AI(Sanctuary AI)는 필요에 따라 12면 주사위를 조작할 수 있을 정도로 손재주가 뛰어난 손가락을 갖춘 피닉스 로봇을 최근 공개했다. 이 로봇은 각 손가락에 촉각 패드를 장착해 미세한 손동작이 가능하다. 하지만, 이 로봇도 아직 프로토타입에 머물러 있으며, 현재까지는 캐나다 소매점에서 상품 포장 등의 작업을 파일럿 형태로 간간히 수행하고 있다. 6위 애질리티 로보틱스 디지트 로봇 디지트 로봇은 창고 같은 곳에서 짐을 옮기는 등의 반복적인 작업을 수행하도록 개발됐다. 디지트 로봇의 장점은 타 경쟁사와 달리 실제 현장에 투입돼 업무를 보고 있다는 점이다. 미국 조지아주 플라워리 지점의 GXO로지스틱스의 물류 시설에 디지트 로봇이 도입돼 물건을 컨베이어 벨트로 옮기고 있다. 디지트 로봇의 가격은 3만6천 달러다. 7위 아폴로 로봇 앱트로닉이 개발한 로봇 ‘아폴로’ 로봇은 키 173cm, 무게 72.5kg의 인간형 로봇으로 공장에서 일하는 것처럼 노인을 돌볼 수 있고 엔비디아와의 협력을 통해 AI 기술을 사용해 사람들이 수행하는 작업을 관찰해 이를 학습해 배울 수 있다. 하지만, 현재는 아직 프로토타입 단계이나 현재 앱트로닉은 메르세데스 벤츠와 협력에 자동차 공장에서 여러 가지 시나리오를 테스트 중이며 내년 말부터 실제 사용에 들어갈 예정이다. Connect with us

Seleziona Pagina Inserito da Alessandro Tartarino | Ott 18, 2025 | Rubriche | 0 | Ho spesso associato l’ascolto di “Love” con almeno altri quattro dischi ovvero “The Crossing” dei Big Country, “Strenght” degli Alarm, “Once Upon A Time” dei Simple Minds e “Synchronicity” dei Police, non tanto per il fatto che uscirono tutti in quegli anni (1983-1985) quanto piuttosto per l’emozione che mi suscitava l’ascolto insieme di queste pietre miliari. Mi ricordo che saltavo da un vinile all’altro per ascoltare ora “Spirit Of “’76” ora “In A Big Country” oppure “Sanctify Yourself”, insomma una goduria. Ecco, accantonato quasi del tutto l’ottimo esordio “Dreamtime” del 1984 mi sono immerso completamente in “Love”, uscito l’anno seguente, che considero, ancora oggi, uno dei migliori dischi gothic-rock mai pubblicati nonchè uno dei miei album preferiti al quale sono indissolubilmente legato per via di alcuni ricordi indelebili ad esso collegati. Non poteva essere che l’autunno la migliore stagione per far uscire questo manifesto gotico con le atmosfere a tinte grigio scuro delle sonorità che avvolgono le dieci tracce che a loro volta si districano per quasi un’ora in un perfetto equilibrio tra vigoria e paturnia.L’album si presenta come una variegata esperienza pur seguendo un leitmotiv ben a fuoco che non poteva che essere introdotto da una folgorante “Nirvana” con i riff di chitarra insistenti sorretti da ambientazioni cupe e meste. I membri dei Cult hanno trasfuso tutto il loro background darkwave nel progetto; Ian Astbury che proveniva dal new-wave dei Southern Death Cult e il biondissimo Billy Duffy dal punk-rock dei Theatre Of Hate. Dopo “Love”, il duo britannico (coadiuvato dal bassista Jamie Stewart) si dedicò maggiormente al rock classico seventies e, infatti, “Electric” da sfoggio a chitarroni pesanti che però fu ben lontano dal successo commerciale della loro seconda fatica. Edito per la label Beggars Banquet, “Love” è ancora oggi l’album più distribuito e venduto della band con quasi due milioni e mezzo di copie e sicuramente artefici di questo successo sono state le tre hit contenute nell’album; la post-punkiana “Rain”, la ballad mascherata di blus “Revolution” e, soprattutto, la seducente e accattivante “She Sells Sanctuary”, primo singolo e probabilmente il pezzo più famoso dei Cult con Nigel Preston alla batteria, poi sostituito da Mark Brzezicki dei Big Country nel resto dei pezzi. Non c’è un brano che si lascia preferire anche se perle come l’ipnotica “Big Neon Glitter” con il suo incedere trionfale e la struggente “Brother Wolf, Sister Moon”, quasi sette minuti che si muovono in territori aspri e oscuri a rappresentare un inno alla natura e ai pellerossa, vorrebbero dominare il long-playing. Un album fondamentale, come si dice avuto riguardo alle pietre miliari, un album che, forse, raggiunge il suo apice nella tormentata traccia di chiusura, un cantico sull’amore ma anche sulla fine della vita: “Black Angel” è un folk buio sorretto da tastiere e chitarra acustica dove luccica nella melodia la voce calda e intensa di Astbury, da pelle d’oca. “Love” è un disco completo e suggestivo, incredibilmente maturo per un sophomore, un viaggio tra tetre ambientazioni e atmosfere rarefatte dove il perfetto equilibrio tra sonorità dark e quelle rock si riverbera nelle note gotiche inconfondibili e senza tempo. Data di pubblicazione: 18 ottobre 1985Tracce: 10Registrazione: Luglio-Agosto 1985 Inghilterra, Jacobs Studios, Farnham, England and Olympic Studios, LondonDurata: 51:37Etichetta: Beggars BanquetProduttore: Steve Brown Tracklist:1. Nirvana2. The Big Neon Glitter3. Love4. Brother Wolf; Sister Moon5. Rain6. The Phoenix7. The Hollow Man8. Revolution9. She Sells Sanctuary10. Black Angel Condividere: Vota: Indie for Bunnies è un'idea di Fran_P & Axel Moloko pubblicato sotto licenza Creative Commons Usiamo i cookie per fornirti la miglior esperienza d'uso e navigazione sul nostro sito web. Puoi trovare altre informazioni riguardo a quali cookie usiamo sul sito o disabilitarli nelle impostazioni. This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful. I cookie strettamente necessari dovrebbero essere sempre attivati per poter salvare le tue preferenze per le impostazioni dei cookie. Se disabiliti questo cookie, non saremo in grado di salvare le tue preferenze. Ciò significa che ogni volta che visiti questo sito web dovrai abilitare o disabilitare nuovamente i cookie. 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Propulsées par l’IA, ces startups redéfinissent le rôle du robot dans nos vies. Avec l’essor de l’intelligence artificielle (IA) générative, une autre discipline a connu un nouvel élan, celle des robots humanoïdes. Les avancées dans ce domaine sont de plus en plus significatives, et ces machines s’imposent comme des candidats sérieux pour pallier la pénurie de main-d’œuvre qui s’abat dans diverses filières. Et puisqu’il n’y a pas que Tesla dans la vie, voici les startups les plus prometteuses à ce jour. Elle est certainement l’une des plus en vogue, grâce au soutien de géants comme Jeff Bezos, OpenAI ou NVIDIA. Fondée en 2022 par Brett Adcock, Figure AI développe des humanoïdes polyvalents pour l’industrie, la logistique et, à terme, la maison. Son robot Figure 02, testé chez BMW, manipule des pièces métalliques avec une dextérité poussée grâce à son IA. Baptisée Helix, elle lui permet de voir, comprendre et agir en temps réel. L’entreprise vise la production de 100 000 unités d’ici à 2029, et un prix final compris entre 10 000 et 30 000 dollars. Elle a levé plus de 700 millions de dollars et dispose déjà d’une usine capable de produire 12 000 robots par an. Également originaire des États-Unis, Apptronik développe Apollo, un humanoïde pensé pour l’industrie, la logistique ou encore les soins à domicile. Capable de porter jusqu’à 25 kg, Apollo en est déjà à sa 9e version, avec l’ambition d’atteindre un prix inférieur à celui d’une voiture. Soutenue par Google, DeepMind et Mercedes-Benz, la startup a levé 350 millions de dollars début 2025 pour passer à l’échelle. Objectif : produire en masse dès 2026, en s’appuyant sur un partenariat avec la multinationale Jabil dans lequel les robots participeront à leur propre fabrication. Voyage du côté de la Chine, où le marché des humanoïdes est également florissant. Née à Hangzhou, Unitree s’est faite connaître grâce à ses robots quadrupèdes abordables, avant de se lancer dans l’humanoïde. Son modèle G1, vendu autour de 16 000 dollars, impressionne par ses capacités : mobilité fluide, interaction réaliste, etc. L’entreprise conçoit en interne tous ses composants clés, de quoi lui permettre de viser une production de masse à coûts réduits. Son ambition : rendre la robotique humanoïde accessible à de nombreux secteurs, et son partenariat récent avec Amazon pourrait l’aider à y parvenir. Possédant le statut de licorne, Unitree est tout de même scrutée pour ses possibles liens avec l’armée chinoise. Une jeune pousse européenne attire elle aussi de nombreuses convoitises. Fondée en 2019 en Allemagne, Neura Robotics développe des humanoïdes conçus pour collaborer en toute sécurité avec les humains. Son modèle phare, 4NE1, est le premier humanoïde prêt pour une production en série. Il est accompagné de MiPA, un assistant domestique intelligent lancé en 2025, et de MAiRA, un robot cognitif industriel. Leur force : une IA embarquée capable de voir, entendre, toucher et apprendre. Grâce à la plateforme Neuraverse (sorte d’App Store robotique), les robots de Neura s’améliorent en continu. Dans ce contexte, la startup ambitionne de livrer 5 millions de robots d’ici à 2030, et peut notamment s’appuyer sur le soutien de NVIDIA, Vodafone, SAP ou Kawasaki. Son approche responsable et modulaire, appuyée sur le cloud et la 5G, fait d’elle une référence européenne de la robotique cognitive. Et c’est une autre société made in Europe. C’est en Scandinavie, et plus précisément en Norvège, que 1X Technologies a vu le jour. Précédemment baptisé Halodi Robotics, la startup se spécialise dans les robots humanoïdes évoluant dans les environnements domestiques. Son modèle NEO Gamma, bipède et ultra fin, vise une intégration fluide dans nos salons. Il est piloté par Redwood, une IA multimodale entraîné sur un jumeau numérique de l’intérieur des foyers. Pour l’heure, le robot reste partiellement téléopéré, mais une phase de tests dans des milliers de foyers est prévue à la fin de l’année. Des géants comme NVIDIA, Samsung, Jeff Bezos et OpenAI la suivent de très près. Nous retournons du côté de l’Empire du Milieu. Fondée début 2023 par Peng Zhihui, ancien ingénieur star de Huawei, AgiBot (ou Zhiyuan Robotics) impressionne par sa croissance fulgurante. Son humanoïde RAISE A1, capable de visser des boulons, inspecter des véhicules ou réaliser des expériences, porte jusqu’à 80 kg et marche à 7 km/h. Et la gamme s’est rapidement élargie avec des modèles comme Yuanzheng A2 ou Lingxi X1, robot open-source destiné aux développeurs. AgiBot mise sur la production de masse et des prix inférieurs à 27 500 dollars. Soutenue par BYD, LG, China Mobile ou Mirae Asset, la startup développe aussi un grand modèle IA, GO-1, et une plateforme de données partagée. Avec des démonstrations devant Xi Jinping, elle s’impose comme un acteur central de la robotique chinoise, et ses ambitions sont mondiales. Pour terminer, direction le Canada. Fondée en 2018 à Vancouver, Sanctuary AI développe Phoenix, un robot humanoïde conçu pour prendre en charge des tâches industrielles complexes dans des secteurs comme l’automobile, la logistique ou l’énergie. Alimenté par l’IA maison Carbon, Phoenix allie dextérité fine, retours tactiles avancés et manipulation précise, même sans visibilité. L’entreprise mise sur des mains articulées à haute puissance hydraulique et des algorithmes d’apprentissage par renforcement pour reproduire le geste humain en conditions réelles. Soutenue à hauteur de 92 millions de dollars, Sanctuary figure parmi les leaders mondiaux en matière de brevets robotiques. Son objectif : déployer des millions d’humanoïdes capables d’automatiser les métiers les plus pénibles, tout en renforçant la sécurité, l’efficacité et la collaboration homme-machine dans l’industrie. 📍 Pour ne manquer aucune actualité de Presse-citron, suivez-nous sur Google Actualités et WhatsApp. Newsletter 🍋 Abonnez-vous, et recevez chaque matin un résumé de l’actu tech J'ai lu et accepte les termes et les conditions robot Sur le même sujet Ce nouveau robot LG, d’un tout nouveau genre, va vous débarrasser des tâches ménagères RD2D ou C-3PO ? Les astronautes du programme Artemis auront droit à leur propre droïde sur la Lune Mission réussie pour ce robot sous-marin : il s’est aventuré dans la région la plus inaccessible du monde Bizarrement, les robots humanoïdes perdent déjà leur emploi ILLIMITÉ 20 Go 5,99 € ILLIMITÉ 350 Go 19,99 € Mode Suivez-nous Mode Suivez-nous

Bloomberg 28/08/2024 15h02 • Atualizado 1 ano atrás 28/08/2024 15h02 • Atualizado 1 ano atrás Publicidade (Bloomberg) – A fabricante de robôs Swiss-Mile está próxima de receber uma avaliação superior a US$ 100 milhões (R$ 553,2 milhões) em uma rodada de investimento seed apoiada pelo fundador da Amazon (AMZO34), Jeff Bezos, de acordo com pessoas familiarizadas com o assunto. A Swiss-Mile deve levantar cerca de US$ 20 milhões com investidores, incluindo o Amazon Industrial Innovation Fund, Bezos Expeditions e HongShan, que anteriormente era a Sequoia Capital China, disseram as fontes, que preferiram não se identificar porque a informação é privada. A empresa suíça Armada Investment, o único investidor europeu, e o acionista já existente Linear Capital também participaram do financiamento, segundo as fontes. Com sede em Zurique, a Swiss-Mile desenvolveu o Robotic Mule e o Robotic Watchdog, robôs autônomos projetados, respectivamente, para transporte e monitoramento, de acordo com seu site. A empresa, que foi incorporada em abril de 2023, afirma que seu objetivo é aliviar os humanos de tarefas extenuantes e tediosas. Os robôs da Swiss-Mile trabalham com redes neurais, uma forma de inteligência artificial que ensina os computadores a processar dados como o cérebro humano. Seus protótipos podem navegar pelo tráfego urbano, evitar obstáculos e subir escadas. Nos últimos meses, Bezos tem intensificado seus investimentos em IA, incluindo na empresa de robôs humanoides Figure AI e na empresa de busca Perplexity AI. A Amazon também está testando robôs da Agility Robotics, que recebeu apoio em 2022, em um de seus armazéns. Um representante da Armada recusou-se a comentar. Os representantes da Swiss-Mile e de seus outros investidores não responderam a um pedido de comentário fora do horário comercial regular. Continua depois da publicidade No início deste ano, a startup norueguesa de robótica 1X Technologies AS, apoiada pela OpenAI, levantou US$ 100 milhões. A Sanctuary AI, com sede em Vancouver, está desenvolvendo um robô humanoide chamado Phoenix. E a Tesla Inc. está trabalhando em um robô chamado Optimus, com Elon Musk chamando-o de um de seus projetos mais importantes. © 2024 Bloomberg L.P. Bloomberg

The AI Times is a weekly newsletter covering the biggest AI, machine learning, big data, and automation news from around the globe. If you want to read A|I before anyone else, make sure to subscribe using this form. A new report on the artificial intelligence (AI) sector warns that while Canada is well-positioned with personnel and leading research in the area, Canadian companies face significant barriers as they scale up. The Council of Canadian Innovators (CCI) contends that a lack of Canadian companies scaling up is leading to many of the benefits created from public investment in research and training in AI flowing to firms outside of Canada. Last week, BetaKit reported the acquisition of Waterloo-based Clearpath Robotics by U.S. firm Rockwell Automation. Now, The Globe and Mail is reporting details on the competitive sale process, with Rockwell beating out two strategic investors with a bid north of $550-million USD. Toronto-based artificial intelligence (AI) drug development startup Deep Genomics has hired Brian O’Callaghan as its next CEO, replacing company founder and CEO Brendan Frey. O’Callaghan brings an extensive knowledge of biotechnology, pharma, and clinical research organizations to Deep Genomics while Frey will shift to chief innovation officer and remain on Deep Genomics’ board of directors. POWERED BY: BIG DATA & AIJoin #1 Data & AI Event in Canada 🚀 BIG DATA & AI TORONTO is back this October 18-19 2023 at the Metro Toronto Convention Centre📍 With 5,500 attendees expected, 100 high-profile speakers from multinationals and innovative start-ups, as well as over 150 exhibitors and sponsors, #BDAIT23 will bring together the dynamic and leading players of the Big Data & AI industry. Joining #BDAIT23 means attending hundreds of exceptional talks, breakthrough technology showcases, hyper-concrete masterclasses, and intimate networking happenings. Be where the action takes place. Register now! GET MY FREE PASS TODAY Google has given a small group of companies access to an early version of its highly anticipated conversational artificial intelligence software, according to three people with direct knowledge of the matter. Giving outside developers access to the software, known as Gemini, means Google is getting close to incorporating it in its consumer services and selling it to businesses through the company’s cloud unit. A few years ago, a strong password and antivirus software were all businesses needed to stay safe online. According to Ian Paterson, CEO of Victoria-based Plurilock, that era has ended. Plurilock, which offers zero-trust authentication products based on technologies like behavioural biometrics and data loss prevention (DLP), has scaled significantly—executing a roll-up strategy that has seen the company make four acquisitions and grow its revenue from roughly $500,000 to over $64 million in just two years. Generative artificial intelligence has brought us the Pope in a coat and deepfake Drake, but also a potentially immense problem in separating fact from fiction. Today, anyone can create photorealistic images with Midjourney, churn out prose with ChatGPT or clone a voice in minutes. So how good are you at spotting fakes? Nearly every company leader in the world is thinking about the potential opportunity—and risk—of generative AI for their business and customers. In an interview with BetaKit, Coveo CEO Louis Têtu shared takeaways from his world tour, the growth in AI-enabled experiences, and how CIOs can prepare for the “tectonic change” of generative AI. Montréal-based Inovia Capital has launched its first Discovery Fund, closing $34 million CAD ($25 million USD) to invest in emerging North American venture capital (VC) fund managers focused on pre-seed and seed-stage startups. The Discovery Fund formalizes Inovia’s existing efforts to invest in emerging VC firms as many face difficulties fundraising. Vancouver’s Sanctuary AI recently unveiled the latest iteration of its humanoid robot, a machine equipped with human-like hands and powered by artificial intelligence to help it complete seemingly mundane tasks. The company has attracted venture-capital and government investment as it works to make Phoenix mostly autonomous and capable of real-world jobs currently filled by humans. Calgary-based software startup Ontopical wants to make it easier for companies across North America to discover and win government contracts. Now armed with $3.3 million CAD in fresh funding and a new CEO in Clayton Feick, Ontopical has set its sights on layering on AI to help its private sector clients derive as much insight as possible from data on local government procurement. More than 20 tech and civil society leaders, including the chief executives of five of the 10 biggest U.S. companies, appeared at a closed-door Senate meeting on Wednesday to shape how artificial intelligence is regulated. The CEOs of Alphabet Inc., Microsoft Corp., Meta Platforms Inc. and OpenAI were invited to appear alongside rivals and industry critics to discuss possible guardrails for AI that balance the risks and rewards of the technology. Artificial intelligence (AI) marketing startup Streamforge has raised $1.6 million CAD ($1.2 million USD). Founded in 2018 by Xavier Constantin and Nick Lombardi, the Streamforge platform uses artificial intelligence (AI) to help brands and publishers identify content creators and audiences who best align with their goals. Enfabrica, which designs networking chips to handle AI workloads, closed a $125 million Series B led by Atreides Management, and included an investment from new investor Nvidia. Mountain View, California-based Enfabrica’s chip allows for the consistent flow of data needed for modern AI workloads. The company plans to use the new cash infusion to expand its research and development capabilities and grow production. The publication of record for Canadian tech and startup news since 2012. Learn more

Manage your account If you ever come across a mother cow and her calf, do not just assume that you can walk up to her child and play with them as though they were your own children. After all, mother cows can be fiercely protective of their young. As you can see from the video, Phoenix the cow did not want this human going anywhere near her baby. From the get-go, you can tell by Phoenix's expression that she was not having any of this. This woman approached her and her baby out of nowhere, babbling on about milk, and Phoenix was clearly like, "I'm a cow. Don't tell me about milk." Additionally, after both Phoenix and her adorable baby stared at this woman with expressions that were south of blank but north of agitated, she continued to get closer to the baby while flapping her gums about if he was going to get more milk from his mama. Phoenix very politely tried to ignore this rudeness, focusing on licking her young calf to make sure he was clean, hoping that she would take a hint and leave them alone. But nevertheless, this woman persisted. Related: Mother Cow Who Lost Her Baby Instantly 'Adopts' Calf 'Crying for His Mama' at Sanctuary It was at this point that Phoenix decided that it was just best to walk away. She led her calf away down the pasture, leaving this talkative woman completely flabbergasted, still unable to understand that she did not want anyone going near her child. When it comes to mother cows and their young, it is important to realize that these beautiful bovines have very strong maternal instincts. They have very deep bonds with their young and do not want anyone around who might threaten them, or even just annoy them. Now, we don't think the woman in this video poses a threat of any kind. However, she did underestimate how much Phoenix would tolerate her in the presence of her young calf. And apparently, this woman has a knack for agitating cows, as you can see in this other video. We actually side with the woman on this one. After all, that is another cow's calf. This woman was right to ask her what Ci Ci the cow was doing with that baby. We don't think that Ci Ci was in the right to take her frustrations out on that poor baby. Fortunately, there is no indication that this calf was hurt when Ci Ci kicked them. Hopefully, this kind of behavior is not too frequent on this farm. Looking for more PetHelpful updates? Follow us on YouTube for more entertaining videos. Or share your own adorable pet by submitting a video, and sign up for our newsletter for the latest pet updates and tips.

Привлечение инвестиций, продажа бизнеса и коммерческой недвижимости в Украине Получайте ежемесячный инвестиционный журнал в сфере прямых инвестиций и венчурного капитала. 1397 Сообщается, что в стартап Figure AI, который поддерживают OpenAI и Microsoft, Безос через свою фирму Explore Investments LLC инвестировал 100 млн долларов. Microsoft - 95 млн долларов, а Nvidia и фонд, связанный с Amazon, - по 50 млн долларов. "Роботы стали новым критически важным рубежом для индустрии искусственного интеллекта, позволяющим применять передовые технологии для решения реальных задач. В компании Figure инженеры работают над роботом, который выглядит и двигается как человек. Компания надеется, что ее машина Figure 01 сможет выполнять опасные работы, которые не под силу людям, и что ее технология поможет уменьшить дефицит рабочей силы", - пишет агентство. Другие технологические компании также присоединяются к финансированию проекта. Так, венчурное подразделение Intel Corp. инвестирует 25 миллионов долларов, а LG Innotek предоставляет 8,5 млн долларов. Инвестиционная группа Samsung выделила 5 миллионов долларов. Среди инвесторов также венчурные компании Parkway Venture Capital, которая инвестирует 100 млн долл, и Align Ventures, которая предоставляет 90 млн долл. Венчурный фонд ARK Venture Fund инвестирует 2,5 миллиона долларов, а Aliya Capital Partners - 20 миллионов долларов. Среди других инвесторов - Tamarack (27 млн долл), Boscolo Intervest Ltd. (15 млн долл) и BOLD Capital Partners (2,5 млн долл). OpenAI, которая в какой-то момент рассматривала возможность приобретения Figure, инвестирует 5 млн долл. В январе Bloomberg писал о раунде финансирования, который начался с Microsoft и OpenAI как первичных ведущих инвесторов. "Эти большие имена помогли привлечь приток средств от других компаний. Привлеченные 675 миллионов долларов являются значительным увеличением по сравнению с 500 миллионами долларов, которые изначально хотела получить компания Figure. Представители компании Figure и ее инвесторов отказались от комментариев или не сразу ответили на запросы о комментариях", - пишет Bloomberg. Примерно 2 миллиарда долларов - это предварительная оценка, то есть она не учитывает капитал, который привлекает компания Figure. В мае 2023 года Figure привлекла 70 миллионов долларов в раунде финансирования, возглавляемом компанией Parkway. Тогда главный исполнительный директор Бретт Адкок сказал: "Мы надеемся, что мы одна из первых групп, которые выведут на рынок гуманоида, который действительно может быть полезным и заниматься коммерческой деятельностью". В начале этого года норвежский робототехнический стартап 1X Technologies AS, созданный при поддержке OpenAI, привлек 100 миллионов долларов. Ванкуверская компания Sanctuary AI разрабатывает человекоподобного робота под названием Phoenix. А компания Tesla работает над роботом под названием Optimus, и Илон Маск называет его одним из своих важнейших проектов, добавляет Bloomberg. Между тем компания Agility Robotics, которую Amazon поддержал в 2022 году, тестирует ботов на одном из складов ритейлера. InVenture Investment Group О проекте Стать партнером Реклама Команда Вакансии Доска объявлений Часто задаваемые вопросы Контакты Вход администратора Разместить объявление Инвестиционные предложения Инвестиционные проекты и стартапы Продажа бизнеса Коммерческая недвижимость Земля Франчайзинг Запросы инвесторов Привлечение инвестиций / продажа бизнеса Сервисы для инвестора Новости Прямые инвестиции и M&A Венчурные инвестиции и стартапы Государственные инвестиции Кредитование Фондовый рынок и IPO Инвестиции в недвижимость Аналитика Инвестиционный дайджест Исследования Статьи Интервью Инвестируем в Украину Рейтинги Библиотека Инвесторы Мероприятия

МЫ В СОЦСЕТЯХ: Поделиться: Беспокоиться не стоит — пока что андроида обучают люди, и он полностью зависит от их знаний и команд. Канадская компания Sanctuary AI представила нового робота гуманоида Phoenix, который способен выполнять различные виды работ с помощью искусственного интеллекта, сообщает New Atlas. Phoenix является шестым поколением роботов общего назначения (GPR), созданных Sanctuary AI, и работает на основе уникальной системы управления Carbon, которая придает ему человекоподобный интеллект и позволяет ему выполнять сотни задач, востребованных в более чем дюжине разных отраслей. Рост робота 170 см, а весь составляет 70 кг, то есть он по размеру со среднестатистического человека. Пока что Phoenix не так силен, как люди и может поднимать только 25 кг, а так же неспешно передвигаться с пешеходной скоростью 5 км/ч. Зато у него есть революционные роботизированные руки с повышенной степенью свободы (на 20 манипуляций), которые конкурируют с ловкостью человеческой руки. А еще робот оснащен гаптической технологией, которая имитирует ощущение прикосновения. Управление андроидом происходит за счет когнитивной архитектуры Carbon — это программная платформа для роботов общего назначения. Она интегрирует современные технологии искусственного интеллекта, чтобы переводить естественный язык в действие в реальном мире. Система позволяет Phoenix думать и действовать так, чтобы выполнять задачи как человек. Она также использует символическое и логическое рассуждение в сочетании с современными LLM (большими языковыми моделями, как у ChatGPT), специфическими для предметной области. Carbon использует фотореалистичные и физически реалистичные симуляции для обучения роботов. Компания Sanctuary AI провела недельное пилотное испытание своего робота в магазине Canadian Tire Corporation, заявив, что Phoenix правильно выполнил 110 задач, связанных с розничной торговлей, включая выборку, упаковку, уборку, маркировку, складывание и другие совсем не простые для роботов прошлого поколения задачи. Пока что движениям робота учит опытный оператор, но в дальнейшем исследователи хотят, чтобы Phoenix сам умел быстро обучаться новым навыкам. Ранее Фокус рассказывал, поймали шпионов, которые общались через YouTube: как они шифровали сообщения. Поделиться: Читайте нас в: ФОКУСУ нужна ваша поддержка! Все права на материалы, опубликованные на данном ресурсе, принадлежат ООО "ФОКУС МЕДИА". Использование материалов разрешается только при соблюдении требований, описанных в разделе "Правила пользования сайтом". Использовать информацию, размещенную на данном ресурсе, разрешается только при соблюдении следующих условий: гиперссылки на Сайт focus.ua, упоминания первоисточника не ниже первого абзаца, объема использования, который не может превышать 50% от общего объема оригинального текста, изменения заголовка и лида материала. Использование большего объема текста возможно только при условии получения письменного разрешения Компании. ООО «ФОКУС МЕДИА» Онлайн-медиа ФОКУС Идентификатор онлайн-медиа в Реестре субъектов в сфере медиа - R40-03129 Адрес: 01133, г. Киев, бульвар Леси Украинки, 26 Телефон: +38 044 207 45 54 E-mail: info@focus.ua FOCUS.UA — больше чем просто новости. Перепечатка, копирование или воспроизведение информации, содержащей ссылку на агентство ИнА "Українські Новини", в каком-либо виде строго запрещены. Все материалы, которые размещены на этом сайте со ссылкой на агентство "Интерфакс-Украина", не подлежат дальнейшему воспроизведению и/или распространению в любой форме, кроме как с письменного разрешения агентства. Материалы с плашками "Р", "Новости партнеров", "Новости компаний", "Новости партий", "Инновации", "Позиция", "Спецпроект при поддержке" публикуются на коммерческой основе.

МЫ В СОЦСЕТЯХ: Поделиться: Система искусственного интеллекта Carbon сделала андроида еще более похожим на человека. Седьмая версия робота Phoenix от канадской компании Sanctuary AI способна изучить и выполнить различные задачи, которые выполняет человек, всего за 24 часа, благодаря улучшенным программному и аппаратному обеспечению, передает Interesting engineering. Недавно компания Sanctuary AI представила последнее поколение своего революционного гуманоидного робота Phoenix с поддержкой системы искусственного интеллекта (ИИ) Carbon, которая была усовершенствована, чтобы сделать андроида еще более похожим на человека. Для этого разработчики улучшили программное обеспечение ИИ. Устройство также получило значительные обновления аппаратного обеспечения, обеспечившие большую гибкость запястий, кистей и локтей. По данным Sanctuary AI, Phoenix 7-го поколения является самой сложной версией робота-гуманоида, созданного для максимально точной имитации поведения человека. Модель была обучена на самых качественных и достоверных данных. Робот оснащен миниатюрной гидравликой, снижающей вес и энергопотребление, а также современными датчиками, отвечающими за "остроту" зрения и тактильные "ощущения". Эти улучшения позволяют устройству изучить новую задачу всего за 24 часа, по сравнению с неделями для его предшественника. Предыдущие версии в основном были сосредоточены на движениях туловища, а вот 6-ое поколение научилось ходить. Sanctuary AI недавно опубликовала кадры, на которых Phoenix 7 сортирует цветные объекты. На видео также показано, как последняя версия бота обучалась с помощью телеуправления человеком-тренером. Используя эти данные, программное обеспечение Carbon AI изучило все процессы, чтобы андроид потом выполнял их независимо. В будущем робот может использоваться для помощи работникам в выполнении трудоемких или повторяющихся задач. Теоретически это должно освободить персонал для выполнения более сложных задач. Ранее мы писали о том, как робот-огнеметчик Thermonator может помочь ВСУ. Робота можно применять не только на войне, однако такие автономные вооруженные системы все чаще находят применение на поле боя. Поделиться: Читайте нас в: ФОКУСУ нужна ваша поддержка! Все права на материалы, опубликованные на данном ресурсе, принадлежат ООО "ФОКУС МЕДИА". Использование материалов разрешается только при соблюдении требований, описанных в разделе "Правила пользования сайтом". Использовать информацию, размещенную на данном ресурсе, разрешается только при соблюдении следующих условий: гиперссылки на Сайт focus.ua, упоминания первоисточника не ниже первого абзаца, объема использования, который не может превышать 50% от общего объема оригинального текста, изменения заголовка и лида материала. Использование большего объема текста возможно только при условии получения письменного разрешения Компании. ООО «ФОКУС МЕДИА» Онлайн-медиа ФОКУС Идентификатор онлайн-медиа в Реестре субъектов в сфере медиа - R40-03129 Адрес: 01133, г. Киев, бульвар Леси Украинки, 26 Телефон: +38 044 207 45 54 E-mail: info@focus.ua FOCUS.UA — больше чем просто новости. Перепечатка, копирование или воспроизведение информации, содержащей ссылку на агентство ИнА "Українські Новини", в каком-либо виде строго запрещены. Все материалы, которые размещены на этом сайте со ссылкой на агентство "Интерфакс-Украина", не подлежат дальнейшему воспроизведению и/или распространению в любой форме, кроме как с письменного разрешения агентства. Материалы с плашками "Р", "Новости партнеров", "Новости компаний", "Новости партий", "Инновации", "Позиция", "Спецпроект при поддержке" публикуются на коммерческой основе.

The Walrus Fact-based journalism that sparks the Canadian conversation Get ready for an army of robots that work—and reason—like us Published 6:30, NOVEMBER 13, 2024 The robot has a grey and immaculate face with no mouth, no nose, and two unblinking eyes. It’s a face without human pretensions. But, like me, it has a name—Phoenix—and between that geometric resin mound and myself, there is an immediate camaraderie. The robot and I are basically the same height and weight; we both peer and bend toward each other with undeniable curiosity. When I extend a hand, Phoenix looks down, cocks its head three degrees, and considers. Then, gingerly, it places a hand in mine, and we shake. “Nice to meet you,” I say. “That’s a good grip.” “Thanks.” The voice isn’t the robot’s, though; it’s a human’s. I turn to look at the guy strapped into a convoluted rig behind me. Eric wears an exosuit complete with a virtual reality headset and wire-spewing gloves that track his minutest movements, relaying them to Phoenix. Eric has his own hand outstretched, and he’s shaking empty air. He is, in fact, remotely inhabiting the robot whose hand is still in my grip. Phoenix and Eric see together, move together. I am only beginning to grasp what this handshake foretells. If remote-controlled greetings were the robot’s whole repertoire, it would be a neat trick. But any sense of play very much misses the point. Phoenix is no puppet, no toy. And the mimicry it engages in is only a prologue to something far more profound. Phoenix is furiously—wonderfully—learning. Built by the Vancouver company Sanctuary AI, Phoenix is racing to become the world’s first general-purpose robot with human-like intelligence—a machine capable of understanding the real world and executing tasks previously done by us. It is an embodied AI. Its intelligence does not merely flash inside a server but reaches out and acts. Like a wide-eyed toddler, it gains facility as it explores and practises. While walking the gleaming white hallways of Sanctuary, I see only a few Phoenixes on hand. (Sanctuary is coy about the total number it has built so far.) I ask co-founder and then CEO Geordie Rose, “How many robots like Phoenix do you expect will eventually be built?” “Billions,” he says without blinking. “A billion robots sounds like a lot, but it isn’t, not really. Because people have an unlimited desire for cheap, high-quality labour. If I can deliver that labour for, say, twenty cents an hour per robot—the price of electricity—people are going to find ways to use that labour.” The business case for such an enormous fleet depends on basic human demographics. Global fertility rates have collapsed, while life expectancy has soared. In 2015, the proportion of those over sixty on the planet was 12 percent, but that number will nearly double by 2050, according to the World Health Organization. Meanwhile, labour shortages are reported everywhere—and more are predicted. The result, says Rose, is simple: a massive need for workers, be they human or robot. In many cases, a clever app will not be enough to fill the labour gap; an app cannot take out the garbage, pack a box, or build a car. What could, though, are automatons capable of both understanding the space they inhabit and acting upon it. These helpers should look like us and share our shape and basic dimensions—for they’ll work in a world that’s been custom made for the human body. Thus far, the AI revolution has largely been disembodied. The new tech arrived in an insubstantial state, a spirit behind glass. Its first products—screen-based wonders like ChatGPT and Google’s Gemini—were insubstantial too. They spin out essays or videos in response to our queries but have nothing to do with the rock and wind and dirt of the larger world. Rose and many other founders believe the next step in AI’s evolution must involve embodiment. At this year’s “We, Robot” extravaganza, Tesla CEO Elon Musk unveiled a new version of his Optimus droid, which mingled with crowds and served drinks. He called it “the biggest product ever of any kind.” This produced the kind of excitement last seen when, a few years back, Boston Dynamics released a video of its Atlas humanoids dancing to “Do You Love Me” with unheard-of finesse. Still, the race to deliver a proper general-purpose robot to the marketplace is a long one. After “We, Robot,” it became clear that the Optimuses were being remotely operated by humans—which Musk had neglected to mention. And as for the fleet-footed Atlas: I remember one robotics expert telling me that the simplest way to evade one would be to climb onto a box. Pitfalls and limitations are all surmountable, though, in the eyes of tech visionaries. By 2030, Amazon expects to employ more robots than humans. Meanwhile, hundreds of millions of dollars in funding now flow into robot start-ups. Sanctuary itself has received over $140 million in start-up funding (including $30 million from the Canadian government). Investors include Bell, as well as Accenture and Verizon Ventures; partners include the automotive manufacturer Magna and Microsoft, whose cloud platform Azure will house a part of Phoenix’s “mind.” This is a lot of attention—Time magazine named Phoenix one of the best inventions of 2023—for a mechanoid whose only public work experience consists of trial runs at a Mark’s outlet and a Sport Chek where it packed merchandise, cleaned surfaces, and folded clothes. Then again, as with all tech start-ups, Sanctuary’s real value lies in an unspoken promise: that a robot could, one day soon, become competent at not just this task or that task—but every task. Rose is determined to work toward that grander goal. “What we are going to do is build something that’s not a vacuum cleaner,” he says, nodding at Phoenix, “not a tote mover, not a warehouse robot. We’re going to build a human mimic.” The consequence of such a lofty aim, of course, is that Sanctuary’s end product could embody some of our greatest fears (being replaced, made redundant) along with our greatest desires (a life of leisure, infinite economic growth). These are the existential notes that hum around Sanctuary’s office. Down another wing of Sanctuary HQ, I watch a Phoenix play with a bright-blue block that resembles a jumbo piece of Lego. The robot picks up the block and places it on a tray. A staffer then moves the block to a different part of the table, undoing Phoenix’s work and setting up a separate physical problem. Undeterred, the robot moves the block back to the tray. The two go on like this—doing and undoing the same simple task. Then I notice the glowing light at the centre of the robot’s chest. In the first room, where I had my handshake, the light shone blue. Here it’s amber. The change indicates that Phoenix is not being operated by a pilot anymore. It is working and thinking using artificial intelligence—on its own. I look Phoenix in the eye. A deeply serene, utterly neutral expression. The block needs moving. It leans forward and takes hold of it with cautious, human-like care. There’s a simian style to these movements that is powerfully endearing. A patina of the primate. Where’d you learn to act like that? Before Phoenix can do anything on its own, it must first copy the actions of humans, to build a library of basic skills. It does that by monitoring people like Eric, the pilot. It’s a little like showing a child how to whisk an egg by first holding your hand over theirs. Depending on the complexity of the task and environment, Phoenix typically requires about 200 examples before it develops “muscle memory” and can execute the task on its own. Since Phoenix learned to move by studying human movement data, its gestures have a hominal quality; it has absorbed its teachers’ ticks and habits. It does not move with jerky turns and cold, steady tracking. It moves with a gentle and tentative demeanour. “They take on mannerisms,” says Rose, the word “our” hanging unsaid. Technically, the robot has a great deal more potential than what’s on display when it handles blocks or shakes your hand. But Rose is playing the long game, building a library of elementary movement data. Each time a human pilot helps the robot pick up an object, “we get all of the information about what it’s actually like to pick up an object from the robot’s perspective: the camera feed from the robot, the microphones, the touch, the proprioception, all of it,” Rose says. That holistic understanding, complete with human idiosyncrasies, is stored and recalled whenever the robot engages in the task on its own. It’s these memories, if you will, that allow Phoenix to operate on its own with such animal care. It is mimicking the care of its human teachers. When a disembodied AI (the kind that lives in your phone, for example) needs to learn a new skill, the parent company will scrape some corner of the internet for educational material. ChatGPT, for example, employs a large language model that’s trained to create text by studying things like Wikipedia and online books. Similarly, versions of the DALL-E image generator learned what humans want by hoovering up hundreds of millions of online images. Generative AI systems use massive data analysis to learn what word or pixel or sound is most likely to come next in a given sequence and, in this way, build a story or an image or a song piecemeal, without ever conceiving of the whole. A robot can, theoretically, do the same thing with movements. It can learn to walk or jump or sort objects into pails by analyzing a wealth of examples and then using that data about the physical world to guess what micro movement, what action, would be best to take next. Except there’s no comparable database of movement knowledge that an embodied AI can learn from—no Wikipedia of walking or library of touch. For all the brilliance of online life, it has been a fundamentally flat experience. So as a wave of embodied AIs step into being, they’ll need new sources of data for their large behaviour models—vast new troves of information about what it means to move through space, to have a perspective, to be a self in the bewildering world and not just an invisible charge in a server. Building such systems, though, turns out to be an extraordinary challenge. Many tasks that humans consider simplistic (walking, throwing, lifting, catching) are painfully difficult for a computer to pull off. By the same token, an AI that doesn’t have to deal with “the real world” can appear vastly more impressive. Two years before Sanctuary was founded, a Google AI program conquered the game of Go, defeating a top human player. It is easier, Rose says, to teach an AI to play Go than it is to teach a robot to move the stones on a Go playing board. This difficulty matters enormously because fine, hand-driven manipulations are required for 98.8 percent of all work, according to 2023 data from the US Bureau of Labor Statistics. The prosaic but infinitely complex hand is where thinking meets the world. For this reason, Phoenix has been endowed with human-like touch sensitivity, and its hands have an ability to rotate, flex, abduct, adduct, and extend—just like our own. AIs that live cozily on screens are writing academic articles, influencing the stock market, and designing new drugs, but Phoenix plays with blocks. It exists in the grasping, exploring stage of development, so it will be some time before it arrives at factories en masse. “You can’t take a baby,” says Rose, “and put ’em to work in the coal mine.” But Phoenix is growing up fast. Every piece of data it gleans from training sessions is fed into Sanctuary’s crown jewel, an advanced AI control system called Carbon. Bit by bit, Carbon is making itself into a mind that can understand, with granular detail, what it is to have a body in the world. Given enough training data, Phoenix could achieve what’s called zero-shot learning, the point at which training sessions are no longer necessary and Phoenix can execute any task after nothing more than a verbal command. Navigating a previously unknown workplace, for example, would require no human supervision. An unknown item could be identified by calling up auxiliary information and making an inference. Humans do zero-shot learning all the time. We execute without copious training because we have models of the world in our head and we can use those models to game things out. Rose uses basketball to explain: someone is taught to score a shot from very close to the net, and then, without further instruction, they are moved to the three-point line. “You could still hit the basket,” Rose says, “even if you’d never done it before. Because you know enough about the world to adjust your behaviour.” Similarly, a general-purpose robot should be able to execute every job, in every environment, by reasoning. “They’ll just know how to do it,” Rose says. “They’ll infer from what they already know and be able to generalize about a situation.” The Carbon system partly resides in the body of each Phoenix, which allows for immediate feedback during physical action. But another part of Carbon resides in the cloud as a kind of shared intelligence, a wisdom depository that every Phoenix contributes to and every Phoenix can draw from. Which is another way, I suppose, of describing a culture. What, after all, is our own memetic culture but the human machine’s hack for sharing models, data sets, feedback, and experience with one another? The longer I stayed at Sanctuary, the more I became enamoured of the robot’s presence. Far from growing used to Phoenix, I begged to be allowed more time with it; I had an animalistic wish to elicit its curiosity or to meet, again, its guiltless gaze. It was like meeting a new puppy—that visceral a connection. What kind of encounter did I imagine this was? Once a general-purpose robot is given the power to reach out and shape the world, the big impossible questions begin to loom. How is this robot different from animals—from us? Does it have choices, preferences, desires? Is the robot sentient? Does it have a self? It would be comforting to call these questions anthropomorphic daydreams. But that comfort begins to crumble when we consider the evolution of our own selfhood. Life on Earth, after all, did not begin with a point of view. Somewhere far down the trunk of the tree of life, a series of adaptations led to the necessity and, thus, the growth of a mind. Billions of years ago, life likely began underwater and was, for a long time, helplessly floating (incapable of directing its own path, much less caring where it went) or stationary (fixed to hunks of rock). Then, by 550 million years ago, an early animal called Dickinsonia was able to wriggle its pancake-shaped body across the sea floor in search of food, leaving behind imprints that we can see in fossils today. It is believed that roughly around this time, and not coincidentally, nervous systems developed too. Mobility was a useful trait, after all, only when paired with the ability to sense the environment. These two adaptations eventually allowed early animals to move toward prey or away from predators. But sensing and acting then create a knock-on innovation: learning whether you’re touching and feeling something other than yourself. Early animals were “now sensing the world in a way that tracks the divide between self and other,” writes philosopher of science Peter Godfrey-Smith. A mobile and sensitive creature must, in other words, have some rudimentary idea of its own body. What’s more, the expansion of sensing and acting eventually requires organized strategy. “Evolution,” writes Godfrey-Smith, “puts a premium on coherent action, and from a certain point onward, the way to act effectively as a self is to have a sense of oneself . . .” Consciousness is the answer. Consciousness is the most efficient way for all that sensory data to be marshalled and put to use. Agency produces subjectivity. And so the self isn’t a magical endowment but the inevitable consequence of having a body that can sense and act upon its environment. Not only can a sensing, acting body produce a self—many feel it’s the only feasible path. And, conversely, selfhood might forever be denied to a locked-down computer, no matter its processing power. The philosopher John Searle once explained to me that consciousness cannot be arrived at by simply computing reams of numbers. “You can’t get there by shuffling symbols,” he said. But he felt that you could get to consciousness while being a machine. “We are machines,” he told me. He likened the production of consciousness to the flying mechanics of a bird—telling me that being alive and awake to the world was that mechanistic and corporeal a process. Rose believes artificial general intelligence without integration in a body is an incomplete concept. Calling a clever chatbot an AI is “an abuse of language, because that is not really intelligence,” he says. Could Phoenix’s embodied intelligence, then, be the start of Searle’s machine process? “Embodiment,” says Rose, “provides the context for learning and understanding abstract concepts, emotions, and the nuances of a person’s experience—which are essential parts of our intelligence.” According to Rose, “the development of selfhood in an AI would probably start with this idea of a model of the self.” That model is what Phoenix is busy building—a map of reality with itself at the centre. What Phoenix forces us to confront, in other words, is that selfhood, or a conscious point of view, may be a tool like wings or claws or fur, something produced by the pressures of evolution. Of course, we don’t know exactly how a self comes to be—that question will remain one of the most confounding mysteries in both philosophy and practical science—but we may begin to guess at the circumstances that force the light of “I” to glow. Contemplating a variety of types of self may feel like science fiction, but it’s not an unreasonable exercise. There are already many kinds of self on Earth. Many animals, for example, have sensory systems that differ vastly from our own and create a kind of fractured or pluralist selfhood unlike our more individualist identity. In an octopus’s body, the majority of its neurons are located in its arms, meaning each arm can act with some autonomy from its brain. One half of a dolphin’s mind sleeps at a time, the creature remaining demi-conscious so that it can come up for air. We know, too, that our sense of self warps when the brain is addled by drugs or injury. The self is not a perfect diamond that hovers at the centre of your skull but a pound of clay that takes one shape, then another. Godfrey-Smith, in describing the subjective realities of insects and slugs, encourages us to widen our curiosity and conceive of “varieties of subjectivity.” But that puts us on a nervous footing. If we respect the distinct perspective of a hermit crab—or, say, a robot like Phoenix—then the specialness of humankind, our belief in the supremacy of our precious souls, begins to get lost in the crowd. “Often in the history of science,” says Rose, “there’s a consensus about something that’s completely wrong, and then a thread is pulled and the entire world view unravels. I suspect that the study of our conscious experience is one of those threads.” The earth is decentred and goes spinning around a random star; a child’s destiny is fractured into strands of DNA; quantum physics unmakes our material reality. The radical undoing of that which seemed rock solid is not so unlikely as we sometimes imagine. To be clear, Sanctuary is not attempting to spawn a new race of sentient beings. And Rose does not think the unravelling he describes will happen tomorrow. Still, creating general-purpose robots comes with existential repercussions. In building machines that engage the world with precocious dexterity and care, we might endow them with wakeful qualities that disturb their creators. Where does the simulacrum end and genuine experience begin? When I leave Sanctuary, I find myself on a windswept street not far from Vancouver’s downtown. Box stores, Starbucks, a Whole Foods. People stroll by with bags of groceries; they talk about the most recent season of RuPaul’s Drag Race; they look into windows and consider whether now is the right time to purchase an air fryer; a child is admonished for dragging her feet; a spouse is given a drifting goodbye kiss. Everyone behaves exactly like a human. They walk and talk and handle the chaotic world with casual expertise. No one notices the brilliance of their sensorium or the marvel of their body’s engineering. They’re glorious, these humans. And yet today they are also, somehow, diminished. It is impossible, after meeting Phoenix, not to feel that the ordinary actions and daily tasks that make up the majority of our lives are somehow drained of significance, made robotic. Am I merely an algorithm? Just a biological arrangement of data doing the same tricks as Phoenix, tripping through if/then rules? And if much of my life is, in fact, robotic, then to what degree am I distinct from Phoenix and its kind? When I watched the robot feel its way through a task—when I watched its tentative, exploring fingers—I did not, in the end, think to myself, It has a soul like mine. Rather, I thought, I am a machine like it. In the end, watching Phoenix made me question much more than my place in the labour market—it made me question my place in the grand scheme of things, the specialness of my perspective. So, as the robot is elevated, I feel myself dragged down. Meeting in the middle, we both become “embodied intelligence,” we both become grasping bits of learning software. And “selfhood” may prove to be just a spectrum of self-noticing, a quality that does not flick on or off but, instead, appears in varying degrees and colours, depending on what’s useful, what is best suited to the task. When the billions of Phoenixes come marching along, ready to fold our laundry, cook us dinner, nurse us, we’ll be grateful for their self-knowledge, I suppose, grateful for the practical wisdom that lets them navigate our world so well. But we may also be saddled with that eerie sense of demotion. We’ll be dragged off our pedestal and dropped in a humbler—if more curious—place among the vast tribe of sentient things. Then maybe, like baby robots, we’ll fumble again, reaching for blocks to build a bright new model of the world. March 7, 2025March 7, 2025 February 14, 2025February 12, 2025 February 7, 2025February 7, 2025 The Walrus is located within the bounds of Treaty 13 signed with the Mississaugas of the Credit. 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And this year, they did a lot. If you’ve supported us this year, thank you. Before we all (finally) rest at the end of the year, will you help ensure we come back strong in 2026? You’re wrapping up your year. But the facts? They’re working overtime. After ten years in TV news, I know what verified journalism costs. Now at The Walrus, I see what reader donations can do. And this year, they did a lot. If you’ve supported us this year, thank you. Before we all (finally) rest at the end of the year, will you help ensure we come back strong in 2026? You’re wrapping up your year. But the facts? They’re working overtime. After ten years in TV news, I know what verified journalism costs. Now at The Walrus, I see what reader donations can do. And this year, they did a lot. If you’ve supported us this year, thank you. Before we all (finally) rest at the end of the year, will you help ensure we come back strong in 2026? You’re wrapping up your year. But the facts? They’re working overtime. After ten years in TV news, I know what verified journalism costs. Now at The Walrus, I see what reader donations can do. And this year, they did a lot. If you’ve supported us this year, thank you. Before we all (finally) rest at the end of the year, will you help ensure we come back strong in 2026? You’re wrapping up your year. But the facts? They’re working overtime. After ten years in TV news, I know what verified journalism costs. Now at The Walrus, I see what reader donations can do. And this year, they did a lot. If you’ve supported us this year, thank you. Before we all (finally) rest at the end of the year, will you help ensure we come back strong in 2026?

Компания Boston Dynamics сменила поколение своего человекоподобного робота Atlas — на смену модели с гидравлическими приводами пришла новая конструкция на электромоторах. Новинка, несмотря на прежнее имя, имеет расширенные возможности. За счет использования электрических моторов вместо гидравлики увеличился диапазон подвижности конечностей, а также обучили манипуляторы новым вариантам захватов. В работе специалистам американской компании помогали инженеры Hyundai, которая стала инвестором проекта и предоставила площадки для тестов робота. В Boston Dynamics подчеркнули, что традиционно фокусировались на роботах с ногами, потому что хотели создать устройства, которые могли бы балансировать и динамично двигаться по любой поверхности. С переходом на электромоторы у специалистов появилась возможность внедрить новые движения и повысить эффективность Atlas. «Мы разработали электрическую версию Atlas, чтобы она была сильнее, ловчее и маневреннее — робот может напоминать человека, но мы дали ему возможность двигаться наиболее эффективным способом для выполнения задачи, а не ограничиваться человеческим диапазоном движений. Atlas будет двигаться способами, превосходящими человеческие возможности», — прокомментировали новинку разработчики. Детальной информации о новой версии робота и сроках появления его коммерческих вариантов в Boston Dynamics не сообщили. Новости компаний Все Благотворительный фонд 18+ реклама © АО «Коммерсантъ». 127006, Москва, Оружейный переулок д. 41, тел. +7 (495) 797-69-70. Сетевое издание «Коммерсантъ» (доменное имя сайта: kommersant.ru) зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор), регистрационный номер и дата принятия решения о регистрации: серия Эл № ФС77-76922 от 11 октября 2019 г. Партнерские проекты/материалы, новости компаний, материалы с пометкой «Промо» и «Официальное сообщение» опубликованы на коммерческой основе. На kommersant.ru применяются рекомендательные технологии. Подробнее

Business Minister visits Boston Dynamics, Hyundai Motor’s robotics pioneer Published : April 30, 2023 - 14:59:05 Link copied! Korea looks to unveil industrial strategy for advanced robotics by first half of the year The South Korean government plans to unveil its industry strategy for advanced robots before the end of the first half of the year as the country looks to foster its robotics sector and competitiveness on the global stage, according to Trade Minister Lee Chang-yang. “The Korean government will provide support for strengthening the competitiveness of cutting-edge robot companies, creating a new market and establishing global footholds,” said Lee during his visit to Boston Dynamics -- Hyundai Motor Group’s global robotics forefront -- in Waltham, Massachusetts, on Friday. Lee was part of the South Korean delegation accompanying President Yoon Suk Yeol on his state visit to the United States last week to celebrate the 70th anniversary of the S. Korea-US alliance. “I’m looking forward to the synergy created by the strategic partnership between Boston Dynamics, which has world-leading technology, and Hyundai Motor Group, which has excellent manufacturing capabilities,” Lee said. He added that the government’s upcoming industry strategy for advanced robots will include plans to expand the level and scope of the robotics technology cooperation between Korea and the US. The minister’s remarks resonated with the commitment of President Yoon and US President Joe Biden stated in the Washington Declaration that underscored the common direction to lead innovation in cutting-edge sectors beyond diplomacy and security. Boston Dynamics’ officials demonstrated for Lee the operation of the company’s signature robots -- Spot, a four-legged walking robot capable of carrying out surveillance and exploration missions in extreme conditions; Atlas, a humanoid robot that can move like humans with its whole-body dynamic balancing technology and gripper; and Stretch, a flexible autonomous mobile robot that can carry 600 boxes weighing up to 23 kilograms per hour to make warehouse operations more efficient. A Boston Dynamics official said, “The government’s long-term investment and support are extremely important for developing innovative robots and invigorating the industry. We hope for active support from the Korean government in regard to Hyundai Motor Group’s expansion plan of (the) robotics business.” Hyundai Motor Group acquired Boston Dynamics in 2021 as the auto giant designated the robotics sector as one of the core businesses for future innovation. The company operates an independent robotics lab to develop industrial support robots, wearable robots for medical purposes and service robots. The company recently showcased its newly-developed automatic charging robot for electric vehicles at the 2023 Seoul Mobility Show, held from March 31 to April 9. Hyundai Motor also pinned artificial intelligence as the pillar of future business, including robotics. The company set up the Boston Dynamics AI Institute last year to secure next-generation AI technology to better the movements and recognition functions of future robots. According to the ministry’s projection, the global robot market, which is currently estimated at $28.2 billion, is expected to jump to $83.1 billion in 2030 with a compound annual growth rate of 13 percent. The government decided in March to push for revising regulations in order to nurture the robotics industry as a future core growth engine for the country, unveiling a road map to figure out which restrictions need to be amended in the areas of expanding robots’ mobility, allowing robots in the safety industry, creating more collaborative and supportive robots, and establishing more robot-friendly infrastructure. Kim Keon Hee interfered in broad range of state affairs: special counsel Controversial former first lady Kim Keon Hee has been found to have violated a wide range of laws in using her status to receive bribes and to meddle in state affairs where she had no authority. Coupang’s W1.7tr payout plan fails to quell public anger Steady notice abroad, modest gains at home NewJeans’ full-member comeback derails as Ador cuts ties with Danielle [Graphic News] Jensen Huang and Michelle Kang make people of the year list N. Korea tests long-range cruise missiles, vows 'unlimited nuclear buildup' Diplomatic Circuit Guide to hidden rules of K-drama romance K-drama Survival Guide K-pop 101 The world of K-pop explained, for both fans and newcomers Inside Gen Z Giving Korea's new generation a voice Oddities From the funny to the strange and downright unbelievable Herald Interview A series of in-depth interviews. Why Samsung doesn’t want to sell many Galaxy Z TriFolds Coupang says data leak suspect identified, no external leak found Won strengthens past 1,450 after rare FX warning Face recognition required to set up all new smartphones from Tuesday Global banks see 1,400 won as new baseline Ador terminates contract with NewJeans' Danielle Ex-NewJeans member Danielle to face multimillion-dollar damages suit NewJeans’ full-member comeback derails as Ador cuts ties with Danielle Who is Danielle? Ex-NewJeans member at center of contract dispute When wealthy call themselves poor Address : Huam-ro 4-gil 10, Yongsan-gu,Seoul, Korea Tel : +82-2-727-0114 Online newspaper registration No : Seoul 아03711 Date of registration : 2015.04.28 Publisher. Editor : Choi Jin-Young Juvenile Protection Manager : Choi He-suk The Korea Herald by Herald Corporation. Copyright Herald Corporation. All Rights Reserved.

Siga o Olhar Digital no Google Discover A Boston Dynamics voltou aos holofotes nesta semana com a divulgação de um novo vídeo do Atlas, seu robô humanoide. Ele havia saído de cena por um tempo enquanto os engenheiros trabalhavam em melhorias, mas agora, ele reapareceu, e com novidades. Em parceria com o Toyota Research Institute (TRI), a companhia desenvolveu o chamado Large Behavior Model (LBM). Essa tecnologia funciona como um “cérebro digital”, treinado com bases de dados de ações humanas. A ideia é permitir que robôs entendam comportamentos complexos do cotidiano, segundo informações do portal interestingengineering. Isso agora acontecerá automaticamente, o robô irá aprender sozinho e ainda aprimorar seus movimentos com as informações que coletar. Segundo a Boston Dynamics, o LBM abre espaço para adicionar novas funções em máquinas como o Atlas sem a necessidade de escrever uma única linha de código. Isso representa um salto no desenvolvimento de robôs humanoides. Agora eles podem passar a receber atualizações comportamentais de forma quase instantânea, assim como acontece em aplicativos de celular. Leia mais: A Boston Dynamics divulgou em seu canal no YouTube um vídeo do Atlas executando tarefas até então entendidas como desafiadoras para robôs. Entre as ações, ele abre uma cesta, retira diversos objetos e os transfere para um cesto maior. Em seguida, é capaz de analisar a forma de cada item e colocá-los de maneira organizada em uma prateleira. A demonstração também incluiu testes de resiliência. Durante a execução das tarefas, uma pessoa incomodava intencionalmente o Atlas, empurrando e criando obstáculos. Apesar de ser atrapalhado, o robô conseguiu concluir suas missões. Para Scott Kuindersma, vice-presidente de pesquisa em robótica da Boston Dynamics, esse é apenas um vislumbre do futuro dos robôs de uso geral. Ele destaca que treinar uma rede neural para lidar com várias tarefas complexas de manipulação abre caminho para máquinas mais versáteis, capazes de atuar em situações diversas com precisão, destreza e força. Já Russ Tedrake, vice-presidente de Modelos de Comportamento no TRI, reforça que a principal proposta de valor dos humanoides está justamente em sua versatilidade. Segundo ele, a programação tradicional não era capaz de escalar para a quantidade de tarefas necessárias. Com os LBMs, essa barreira começa a ser superada. Matheus Labourdette é redator(a) no Olhar Digital Layse Ventura é jornalista (Uerj), mestre em Engenharia e Gestão do Conhecimento (Ufsc) e pós-graduada em BI (Conquer). Acumula quase 20 anos de experiência como repórter, copywriter e SEO.

Instructions: Want to discuss? Please read our Commenting Policy first. If you get Global News from Instagram or Facebook - that will be changing. Find out how you can still connect with us. To many, the sight is a combination of mind-blowing and nightmarish: a humanoid robot, laying on the floor, before it flips its legs over its metallic body to stand at full height. In a new video released by Boston Dynamics on Wednesday, the company — famous for its nightmare-fuel videos showcasing robots on obstacle courses and dancing, or robot dogs racing through a forest — unveiled its latest robot, called Atlas. Atlas, which is “designed for real-world applications,” is the freshest iteration of the company’s humanoid robots and is their first fully electric model. Prior to this model, an earlier version of Atlas was hydraulic-powered. In their social media post, Boston Dynamics seemingly took aim at Tesla’s own humanoid robot announcement from 2021, when the Elon Musk unveiled the product using an actor breakdancing in a white morphsuit. “We promise this is not a person in a bodysuit,” Boston Dynamics wrote on X. We promise this is not a person in a bodysuit. https://t.co/S9FgfpqvrW pic.twitter.com/G30sXHQ93C — Boston Dynamics (@BostonDynamics) April 17, 2024 “In the months and years ahead, we’re excited to show what the world’s most dynamic humanoid robot can really do — in the lab, in the factory, and in our lives,” Boston Dynamics wrote in a blog post. “The electric version of Atlas will be stronger, with a broader range of motion than any of our previous generations,” the company boasted. Where the hydraulic Atlas could lift and maneuver heavy or irregularly shaped objects, the fully electric Atlas will do the same but with “several new gripper variations to meet a diverse set of expected manipulation needs in customer environments.” The new Atlas will also include the latest AI and machine learning tools, including reinforcement learning and computer vision, which will involve Atlas learning from its own actions and rewards. Can't trip Atlas up! Our humanoid robot gets ready for real work combining strength, perception, and mobility. pic.twitter.com/f7mcnvbw3L — Boston Dynamics (@BostonDynamics) February 5, 2024 Hyundai, which owns Boston Dynamics, invested in the fully electric Atlas model and will test the robot’s applications in their automotive manufacturing plants. Boston Dynamics said the testing is expected to take place “over the next few years.” This latest Atlas iteration is also more agile than its predecessor and “will move in ways that exceed human capabilities.” However, the robot’s inhuman movement is the very thing that has left some people unnerved by Atlas. Perhaps unsurprisingly, Atlas has earned admiration for its impressive engineering feat while also becoming the subject of mockery online. Tech YouTuber Marques Brownlee referenced a meme and wrote Atlas was “giving ‘call an ambulance… but not for me.” Boston Dynamic just unveiled their newest Atlas robot. This is not a render. Oh my god It's giving "call an ambulance… but not for me"https://t.co/mPUKDlW7WY pic.twitter.com/el3DKlTJT5 — Marques Brownlee (@MKBHD) April 17, 2024 The Boston Dynamics "Atlas" robot 🤖 is going to murder us all pic.twitter.com/rfUkHtlKhl — David Leavitt 🎲🎮🧙‍♂️🌈 (@David_Leavitt) April 17, 2024 the video for the new electric Atlas from Boston Dynamics is … quite something. practically, it's showing off how human-shaped robots are not limited by the human body's degrees of freedom, but it feels like a videogame introduction to a robot bossfight pic.twitter.com/8OvLTFsUZ0 — James Vincent (@jjvincent) April 17, 2024 Firstly, I'm sorry, I couldn't resist it. Boston Dynamics Atlas Robot Launch party. pic.twitter.com/lfb3cckrZ3 — Dan Dawson (@Dan_Dawson__) April 18, 2024 “boston dynamics robot with dune music isn’t real, it can’t hurt you” boston dynamics robot with dune music: pic.twitter.com/fvSjtrMYzo — frye (@___frye) April 17, 2024 The hydraulic version of Atlas has been retired. Boston Dynamics is one of the world’s leading robotics companies, with several of its models functioning in real-world applications. The company’s robot dog, called Spot, has been utilized in hazardous inspections, construction site monitoring and alongside police forces. The email you need for the day’s top news stories from Canada and around the world. The email you need for the day’s top news stories from Canada and around the world.

Una de las principales novedades de la nueva versión de Atlas es que se trata de un robot completamente eléctrico Crédito: Boston Dynamics | Cortesía Por Julián Castillo Sígueme: Boston Dynamics anunció la nueva generación de su famoso robot humanoide, Atlas. Esta presentación ha captado la atención del público y de la industria en general debido a su diseño futurista y su potencial para ser desplegado en el mundo real. En un anuncio realizado este miércoles, Boston Dynamics reveló que el nuevo modelo de Atlas es completamente eléctrico, marcando un cambio significativo desde su predecesor hidráulico. Este cambio subraya la ambición de la compañía de desarrollar robots que puedan funcionar fuera de las limitaciones de un laboratorio y tener un impacto tangible en aplicaciones del mundo real. La presentación del nuevo modelo de Atlas no pasó desapercibida, ya que Boston Dynamics optó por compartir un video en las redes sociales que muestra al robot en pleno funcionamiento. Este enfoque de marketing ha permitido que el público en general tenga un vistazo de cerca a las capacidades de este robot humanoides. Boston Dynamics está adoptando un enfoque colaborativo para el desarrollo y despliegue de Atlas. La compañía ha anunciado una asociación con Hyundai, lo que proporcionará un campo de pruebas ideal para nuevas aplicaciones de este robot. Esta colaboración estratégica demuestra el compromiso de Boston Dynamics de trabajar con socios de la industria para llevar la robótica a nuevas fronteras. El nuevo Atlas eléctrico promete ser más potente y ágil que nunca. Con un rango de movimiento ampliado y capacidades de manipulación mejoradas, este robot está diseñado para hacer frente a una amplia variedad de tareas en entornos del mundo real. Boston Dynamics ha destacado que este modelo supera las capacidades humanas en muchos aspectos, lo que lo convierte en una herramienta invaluable para abordar tareas difíciles y peligrosas. Además de su impresionante hardware, Boston Dynamics está haciendo hincapié en el desarrollo de software y servicios para respaldar la implementación de Atlas y otros robots en el mundo real. Con herramientas de inteligencia artificial y aprendizaje automático, la compañía está equipando a sus robots con la capacidad de adaptarse y operar de manera eficiente en situaciones complejas del mundo real. Además, el lanzamiento del software Orbit™ proporciona una plataforma centralizada para administrar flotas de robots y datos de transformación digital. Atlas representa una evolución significativa en la robótica humanoides, con Boston Dynamics liderando el camino hacia un futuro donde los robots pueden desempeñar un papel cada vez más importante en nuestra vida cotidiana. A través de una combinación de ingeniería innovadora, imaginación y colaboración, la compañía está demostrando que la robótica puede ser más que una mera fantasía futurista, sino una herramienta práctica y útil en una variedad de aplicaciones del mundo real. La presentación de la nueva generación de Atlas marca un hito importante en el campo de la robótica, con Boston Dynamics estableciendo un nuevo estándar para la funcionalidad y utilidad de los robots humanoides en el mundo real. Con su enfoque centrado en la innovación y la colaboración, la compañía está allanando el camino para un futuro donde los robots pueden desempeñar un papel cada vez más integral en nuestra sociedad. Sigue leyendo:– Así se ve el perro robot que logró detener a un hombre armado en Los Ángeles– Ya puedes comprar a Spot, el asombroso perro robot de Boston Dynamics– VIDEO: Empresa logra que un robot haga rutinas de gimnasia En esta nota Este sitio está protegido por reCAPTCHA y Google Política de privacidad y Se aplican las Condiciones de servicio. ¡Muchas gracias! Secciones Servicios Copyright © 2025. All rights reserved Síguenos Este sitio está protegido por reCAPTCHA y Google Política de privacidad y Se aplican las Condiciones de servicio. ¡Muchas gracias! Este sitio está protegido por reCAPTCHA y Google Política de privacidad y Se aplican las Condiciones de servicio. ¡Muchas gracias!

Компания Boston Dynamics опубликовала праздничное видео, на котором три робопса Spot украшают рождественскую елку. Два робота образуют нечто вроде ступенек, третий по ним забирается и с помощью манипулятора надевает на верхушку дерева бант. А спустя еще пару мгновений вся конструкция падает. Робопсы Spot благодаря многочисленным видеороликам стали самой популярной моделью Boston Dynamics. При этом не все понимают, на что все-таки способны эти устройства. Так, не стоит думать, что все операции они выполняют в автоматическом режиме. Во всех случаях для управления Spot нужен оператор с пультом. Именно он задает направление движения пса, выстраивает «ступеньки» и обращается с манипулятором. Другое дело, что Spot в автоматическом режиме подстраивает движения своих конечностей под окружающие условия. Наш канал в Telegram. Присоединяйтесь! Есть о чем рассказать? Пишите в наш телеграм-бот. Это анонимно и быстро

Компания Boston Dynamics показала обширную подборку с фейлами своего робота Atlas. Курьезы случались с устройством во время испытаний. Видео опубликовано на YouTube. В ролике разработчики показали, что за любой продвинутой технологией скрываются годы усердного труда и множество неудачных попыток. К слову, по данным СМИ, Boston Dynamics выводит из строя своих гуманоидных роботов. Компания сосредоточится на коммерциализации других своих технологий и будет продолжать разрабатывать новые технологии для коммерческих гуманоидов в штаб-квартире в Массачусетсе. Напомним, ранее компания по производству автомобилей BMW трудоустроила роботов-гуманоидов. Человекоподобный робот показал свою работу на автозаводе Новини від Корреспондент.net в Telegram та WhatsApp. Підписуйтесь на наші канали https://t.me/korrespondentnet та WhatsApp Вам уже виповнився 21 рік? Повернутися на попередню сторінку

Business Boston Dynamics robot dog joins Trump’s security detail Published : Nov. 12, 2024 - 14:39:54 Link copied! Spot, the four-legged robotics dog developed by Boston Dynamics, a subsidiary under Hyundai Motor Group, has reportedly joined the security detail for US President-elect Donald Trump. The $75,000 mechanical canine, bearing a cautionary tag that reads “Do not pet,” was seen patrolling the grounds of Trump’s Mar-a-Lago residence in Palm Beach, Florida. News reports said that the remote-controlled dog is with the US Secret Service. “We do not have specific details on Boston Dynamics’ transactions. But it appears that the Secret Service made the purchase,” said an official from Hyundai’s Seoul headquarters. Equipped with cameras, microphones and sensors, Spot is capable of performing surveillance missions and can be deployed in hazardous environments such as toxic sites and even military operations. Boston Dynamics primarily sells Spot to businesses, research institutions and government entities. The robotic hound can be leased for specific projects, as was the case with the New York Police Department. Named “Digidogs” by the police, these robots responded to home invasions and hostage situations until the lease was terminated after less than a year in 2021 due to public backlash. However, the officials reiterated the importance of such high-tech tools and purchased another two Digidogs last year. In 2020, Hyundai Motor invested $880 million to acquire an 80 percent stake in Boston Dynamics. The robotics arm is gearing up for an initial public offering on the tech-heavy Nasdaq next year. Kim Keon Hee interfered in broad range of state affairs: special counsel Controversial former first lady Kim Keon Hee has been found to have violated a wide range of laws in using her status to receive bribes and to meddle in state affairs where she had no authority. Coupang’s W1.7tr payout plan fails to quell public anger Steady notice abroad, modest gains at home NewJeans’ full-member comeback derails as Ador cuts ties with Danielle [Graphic News] Jensen Huang and Michelle Kang make people of the year list N. Korea tests long-range cruise missiles, vows 'unlimited nuclear buildup' Diplomatic Circuit Guide to hidden rules of K-drama romance K-drama Survival Guide K-pop 101 The world of K-pop explained, for both fans and newcomers Inside Gen Z Giving Korea's new generation a voice Oddities From the funny to the strange and downright unbelievable Herald Interview A series of in-depth interviews. Why Samsung doesn’t want to sell many Galaxy Z TriFolds Coupang says data leak suspect identified, no external leak found Won strengthens past 1,450 after rare FX warning Face recognition required to set up all new smartphones from Tuesday Global banks see 1,400 won as new baseline Ador terminates contract with NewJeans' Danielle Ex-NewJeans member Danielle to face multimillion-dollar damages suit NewJeans’ full-member comeback derails as Ador cuts ties with Danielle Who is Danielle? Ex-NewJeans member at center of contract dispute When wealthy call themselves poor Address : Huam-ro 4-gil 10, Yongsan-gu,Seoul, Korea Tel : +82-2-727-0114 Online newspaper registration No : Seoul 아03711 Date of registration : 2015.04.28 Publisher. Editor : Choi Jin-Young Juvenile Protection Manager : Choi He-suk The Korea Herald by Herald Corporation. Copyright Herald Corporation. All Rights Reserved.

Boston Dynamics lässt Spot Saltos schlagen. Der vierbeinige Roboter hat damit etwas gelernt, was den Erfindern damals gar nicht in den Sinn kam und was selbst das Team, das die Software angepasst hat, erst einmal für unmöglich hielt. Was auf den ersten Blick nutzlos klingt – und das Schlagen eines Saltos ist selbst in den Augen von Boston Dynamics nichts, was die Kunden der Firma brauchen – hat einen interessanten Nebeneffekt. Denn mit der notwendigen Kontrolle, einen Salto zu schlagen, hat Spot auch gelernt, sich in kritischen Situationen besser abzufangen. Wenn der Roboter stürzt, ausrutscht oder stolpert, kann sich Spot so vor größeren Schäden schützen. Aber auch die Payload, oft teure Sensoren auf dem Rücken, kann so besser vor Sturzschäden geschützt werden. Reinforced Learning nennt Boston Dynamics dies und zeigt im Video, wie gut das mittlerweile funktioniert. Selbst ein Rückwärtssalto ist möglich. Das schafft Spot sogar mehrmals hintereinander. Spot kann selbst mit installierten Rollen auf den Vorderbeinen balancieren. Bis dahin war es aber ein weiter Weg, wie Arun Kumar, Robotics Engineer von Boston Dynamics, in dem Video erklärt. So hat er die Szenarios zunächst im Rechner (erfolgreich) simuliert. Doch beim Aufspielen auf den echten Roboter ging so gut wie jedes Mal etwas schief, wie Kumar darlegt. Boston Dynamics zeigt in dem Video auch die ersten unbeholfenen Versuche. Zunächst auf Turnmatten, um Schäden zu minimieren. Später riskierte Boston Dynamics aber auch mehr. Als interessanter Nebeneffekt kann Spot auch deutlich natürlicher laufen, ähnlich anderen Vierbeinern. Im produktiven Einsatz läuft Spot noch so, wie man es für einen Roboter erwarten würde. Das sieht nicht sonderlich elegant aus, nutzt dabei aber die Hardware auch schonender. Die neuen Experimente setzen Spot und dessen Motoren nämlich ans technische Limit. Die neuen Fähigkeiten zeigen auch, dass die Entwicklung von Spot noch nicht am Ende ist, auch wenn sich Boston Dynamics derzeit zumindest in seinen Videos eher auf Atlas konzentriert. Boston Dynamics

Massachusetts merkezli robotik devi Boston Dynamics, Toyota Araştırma Enstitüsü (TRI) ile yaptığı iş birliğiyle insansı robotu Atlas’ı adeta yeni bir çağa taşıdı. Atlas, artık “Büyük Davranış Modeli” (LBM) adı verilen, insan eylemlerine dair devasa veri setleriyle eğitilmiş karmaşık bir yapay zeka sistemiyle yönetiliyor. Bu yeni beyin, robota sadece ne yapacağını değil, beklenmedik durumlarla nasıl başa çıkacağını da öğretiyor. Yayınlanan videonun en can alıcı kısmı ise Atlas’ın bir sabır testine tabi tutulduğu anlardı. Robot, belirli nesneleri bir kutuya yerleştirme görevini yapıyor. Bir mühendis tıpkı muzip bir iş arkadaşı gibi davranarak sürekli olarak kutunun kapağını kapatıyor ve kutuyu farklı bir yere itiyordu. Daha önceki robotik sistemler bu tür bir müdahale karşısında donup kalabilir veya hataya düşebilirdi. Ancak Atlas, şaşırtıcı bir şekilde durumu analiz etti. Pozisyonunu sakince yeniden ayarladı, kutuyu buldu ve kapağını açtı. Ardından görevine kaldığı yerden devam etti. Bu sahne, robotun artık sadece programlanmış komutları değil, değişen koşullara dinamik olarak adapte olabilme yeteneğini de kazandığını gözler önüne serdi. Boston Dynamics, yaptığı açıklamada, LBM’lerin en büyük devriminin, yeni yeteneklerin tek bir satır kod yazmadan robota eklenebilmesi olduğunu belirtti. Bu, daha önce aylar süren programlama çalışmalarının yerini, yapay zekanın öğrenme kapasitesinin alacağı anlamına geliyor. Boston Dynamics Robotik Araştırmalar Başkan Yardımcısı Scott Kuindersma, “Bu çalışma, yaşam ve çalışma biçimimizi dönüştürecek genel amaçlı robotlar vizyonumuza bir pencere açıyor.” dedi. Kuindersma, bu yaklaşımın Atlas gibi son derece yetenekli robotların, güç ve hassasiyet gerektiren görevler için veri toplamasını kolaylaştıracağını vurguladı. Ayrıca bu durum gelişimi hızlandıracağını ifade etti. Hızla gelişen robot teknolojisi, çamaşır katlamaktan fabrika montajına kadar çok çeşitli alanlarda görev alabilecek daha çevik, akıllı ve uyumlu insansı robotların hayatımıza girmesinin artık çok da uzak bir hayal olmadığını kanıtlıyor. İsmimi bu tarayıcıya kaydet Δ

Anbieter zum Thema Der Entladeroboter Stretch von Boston Dynamics arbeitet nun im Regelbetrieb von Lidl. 22 Systeme sollen bis Mitte 2026 in Importlagern in mehreren europäischen Ländern Container automatisch entladen und damit körperlich belastende Tätigkeiten reduzieren. Lidl treibt die Automatisierung seiner Logistik voran und setzt künftig stärker auf Robotik für das Entladen von Seecontainern. Nach einer Pilotphase, die im vergangenen September startete, hat der Handelskonzern jetzt bestätigt, dass der Roboter Stretch von Boston Dynamics in mehreren Importlagern fest eingeplant ist. Insgesamt 22 Systeme sollen bis Mitte 2026 in den Niederlanden, Belgien, Österreich und Spanien arbeiten. Der Rollout markiert den bisher größten bekannten Einsatz des speziell für Container entwickelten Roboters in Europa. Stretch ist ein mobiler Entladeroboter, der Kartons direkt im Container greift und absetzt. Er verwendet einen vakuumbasierten Greifkopf mit mehreren Saugern, kombiniert mit Kameras und Bilderkennung. Das System orientiert sich im Container autonom, identifiziert Kartons und nimmt sie einzeln oder in Gruppen auf. Boston Dynamics nennt als typische Leistungswerte mehrere Hundert Kartons pro Stunde und eine Einsatzdauer von bis zu 16 Stunden pro Akkuladung. Lidl begründet den Rollout mit einer erfolgreichen Pilotphase. Wie das Unternehmen mitteilt, fiel die Entscheidung nach einem Test in einem Importlager, dessen Ergebnisse intern als sehr positiv bewertet wurden. Auf Nachfrage betont Lidl, dass vor allem die körperliche Entlastung der Mitarbeitenden sowie die stabile Arbeitsgeschwindigkeit im Container entscheidende Faktoren gewesen seien. Stretch soll Container mit gemischten Kartongrößen, wechselnder Verpackungsqualität und teilweise unebenen Stapeln handhaben, was in europäischen Importlagern als kritischer Alltag gilt. Unternehmen wie die Otto Group oder DHL nutzen Stretch bereits in anderen Logistikszenarien. Dort entlädt das System je nach Aufbau zwischen rund 400 und etwa 700 Pakete pro Stunde. Solche Werte lassen sich nicht direkt auf Lidl übertragen, geben aber eine Vorstellung davon, wo Stretch bei typischen Einsätzen landet. Technisch bleibt der Blick in den Container das anspruchsvollste Szenario. Im Inneren herrscht wenig Platz, die Beleuchtung schwankt und die Kartonlage wechselt von Container zu Container. Stretch kombiniert Tiefenkameras, 2D-Bildverarbeitung und ein internes Kartonmodell. Sein Roboterarm fährt auf einer mobilen Basis, die sich entlang der Containerkante bewegt. Der Vakuumgreifer arbeitet mit adaptivem Druck, um beschädigte Kartons nicht weiter zu belasten. Das System kommuniziert über eine lokale Edge-Steuerung und übergibt Statusdaten an die Lager-IT. Boston Dynamics hat den Roboter in den vergangenen Jahren technisch weiterentwickelt. Neuere Varianten unterstützen Multipick-Funktionen, bei denen mehrere Kartons gleichzeitig bewegt werden. Das beschleunigt das Entladen bei leichten Verpackungen. Zudem verbessert Boston Dynamics fortlaufend die Bildverarbeitung, damit der Roboter auch in engen Bereichen und bei ungleichmäßigen Stapeln weniger manuelle Eingriffe benötigt. Lidl investiert seit Jahren in Automatisierung. Dazu gehören automatisierte Umpalettieranlagen wie Genesys One von Premium Robotics sowie umfangreiche Intralogistikprojekte in Zusammenarbeit mit Europa Systems. Der Einsatz von Stretch reiht sich in diese Linie ein, zielt aber speziell auf den ergonomisch schwierigen Prozess des Containerentladens. Der aktuelle Roboter-Rollout betrifft ausschließlich Importlager, die große Mengen Kartons aus Übersee abwickeln. (mc) (ID:50650959) Bitte geben Sie eine gültige E-Mailadresse ein. 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Реклама Фото: Josh Reynolds / AP Американская компания Boston Dynamics заявила о прекращении разработки робота Atlas. Об этом сообщает издание TechCrunch. В фирме, принадлежащей корейской корпорации Hyundai, рассказали об отмене проекта Atlas. Boston Dynamics выпустила прощальное видео с записями робота-гуманоида, в котором заявила, что Atlas «пора отправиться на пенсию». В компании не назвали причину отмены проекта, однако представители фирмы заявили, что будут использовать наработки при создании других роботов. По словам журналистов, Boston Dynamics не занималась продажей Atlas коммерческим компаниям, поэтому, вероятно не смогла найти способ заработать на роботе. Также, возможно, Atlas устарел на фоне новых машин. Впервые Atlas представили почти 11 лет назад. Компания выпустила человекоподобного робота, созданного специально для замены человека на тяжелом или опасном производстве. По мнению журналистов TechCrunch, Boston Dynamics вложила в разработку гуманоида миллионы долларов. В середине марта стало известно, что немецкий автомобильный концерн Mercedes-Benz заключил договор об использовании роботов. Гуманоиды от компании Apptronik будут работать в тестовом режиме на одном из заводов Mercedes в Венгрии.

Das Boston Dynamics AI Institute kommt nach Zürich und eröffnet ihren ersten Forschungs-Hub ausserhalb der USA. Kann die Stadt einen ähnlichen Erfolg erzielen wie einst mit Google? Die Volkswirtschaftsdirektorin von Zürich zeigt ihre Begeisterung darüber, dass das AI Institute von Boston Dynamics seine Präsenz in ihrer Region ausbaut. Dazu schreibt Carmen Walker Späh: «Einer der weltweit führenden Akteure im Bereich Robotik wird ein Entwicklungsteam in unserem Kanton etablieren.» Das Projekt in die Schweiz geholt und die Ansiedlung betreut hat der Standortmarketingverbund Greater Zurich Area. Die eigentliche Ankündigung erfolgte letzte Woche auf den Swiss Robotics Days in Zürich. Neben Schweizer Grössen in der Robotikbranche wie beispielsweise ETH-Professor Roland Siegwart trat auch Al Rizzi auf, der eine Keynote hielt. Rizzi ist der Chief Technology Officer des AI Institute von Boston Dynamics. In einer Pressemitteilung erklärt das Institut, «dass das Team in Zürich ab Anfang 2024 an der Entwicklung intelligenter, agiler und geschickter Robotersysteme arbeiten wird, die in den anspruchsvollsten Umgebungen eingesetzt werden sollen.» Der Standort Zürich wird dem Unternehmen dabei behilflich sein, Verbindungen zu talentierten Personen, Universitäten und Forschungsorganisationen im lebendigen europäischen Umfeld zu knüpfen. Die Kultur des Instituts ist darauf ausgerichtet, das Beste aus akademischer und privater Forschung zu vereinen, wie Tippinpoint.ch schreibt. Das Boston Dynamics AI Institute wurde im August 2022 von Marc Raibert gegründet. Es gibt an, dass es 150 Vollzeitmitarbeiter und 10 Gastprofessoren beschäftigt, die eine Fläche von mehr als 30’000 Quadratmetern für Labors und Büros im Kendall Square in Boston nutzen. Das AI Institute eröffnet nun seinen ersten Forschungsstandort ausserhalb der USA. Die Volkswirtschaftsdirektorin von Zürich, Walker Späh, bezeichnet dies als eine bedeutende Chance für den Innovationsstandort Zürich. Die Entscheidung einer so renommierten Firma wie desBoston Dynamics AI Institute zugunsten von Zürich ist zunächst ein erheblicher Imagegewinn. Es bleibt jedoch abzuwarten, inwieweit das Unternehmen die bereits lebhafte Robotik-Szene zusätzlich beleben wird. Deine Meinung zählt Adventskalender Solitaire Kreuzworträtsel Sudoku Mahjong Bubbles Snake Schach eXchange Power of 2 Doppel Cuboro Riddles Wortblitz SudoKen Street Fibonacci Gumblast Rushtower Wimmlbid Bleib auf dem Laufenden.

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More information Artificial intelligence (AI) has become a popular theme among investors as companies use technology to turn what was once the subject of sci-fi movies into reality. One such company is Boston Dynamics, whose legged robots can dance, perform athletic tasks, and navigate uneven terrains like hills and stairs. As more organizations look to utilize robots with ever-developing capabilities, Boston Dynamics can expect strong revenues after years of research and development. This growth potential has many investors wanting to know how to buy Boston Dynamics stock. With Equitybee, accredited investors can gain investment access to high-growth, venture-backed startups before they IPO by funding employee stock options. Sign up for free today to see what companies are available now and get notified when companies like OpenAI are available. 👉 Learn more about Equitybee Originally an initiative of the Massachusetts Institute of Technology (MIT), Boston Dynamics began as a robotics and engineering startup in 1992. Today, this robotics pioneer focuses primarily on developing mobile robots for commercial and industrial uses. Other companies have also provided Boston Dynamics funding and gained an ownership stake. For example, Google is a previous stakeholder, and now Hyundai Motor Group and SoftBank are co-owners. The company eventually began making advanced robots with funding from various U.S. military agencies, including the Defense Advanced Research Projects Agency (DARPA). Those early-stage research and development contracts have helped advance robotics technology to its present state. Police and fire departments are starting to use the Spot Robo-dog to inspect suspicious packages and assess high-risk environments. Factories can also use Spot to inspect the plant at regular intervals within defined parameters for safety issues with cameras and sensors. In addition, it was recently announced that new robots from Boston Dynamics would have OpenAI’s ChatGPT capability. So far, these robots are not being sold to the general public, but needless to say, the company is pursuing consumer applications once the capabilities improve and the machine is safe to be near children, pets, and the public. Unfortunately, you cannot buy Boston Dynamics stock as it’s a privately-owned company. However, you can gain exposure indirectly by investing in Hyundai Motor Group (HYMTF) and SoftBank (SFTBF), which own Boston Dynamics and are both publicly-traded companies. Let’s take a closer look at these two companies. Hyundai Motor Group owns an 80% controlling interest in Boston Dynamics, making it the majority owner. It finalized the acquisition in June 2021 from Softbank. In a press release, the Group stated they will “create a robotics value chain, from robot component manufacturing to smart logistics solutions.” This holding company is best known for its Hyundai and Kia personal automobiles. As a result, most of the stock’s performance relies heavily on gas-powered car sales and potentially its success in autonomous vehicles, electric vehicles, and electric batteries. The South Korea-based company trades as an over-the-counter OTC stock in the U.S. stock market under the stock symbol HYMTF. This type of stock doesn’t have as much liquidity as common shares, and brokerages are more likely to charge trading commissions. In addition, not every investing app trades the HYMTF stock ticker. So, for example, you can’t buy Hyundai stock through Robinhood or M1 Finance, which are both easy-to-use platforms for beginner investors. Instead, you will need to use a discount broker like Fidelity, Schwab, or E*TRADE, which offers OTC stock. Note that you may be charged a commission fee. If you’re comfortable investing directly on foreign stock exchanges through a participating broker, Hyundai trades on the Korea Stock Exchange (KRX) with stock number 005380. A subsidiary of Japan-based SoftBank owns the remaining 20% of Boston Dynamics. This investment holding company acquired its stake in 2017, when Google sold its entire interest. Through most investing apps, investors can purchase U.S.-listed ADR shares (similar to OTC stocks) of SoftBank Group Corp. through the stock ticker SFTBF. For example, you can buy SFTBF shares on Robinhood, although liquidity can still be thinner than common shares. Consider buying SoftBank shares directly from the Tokyo Stock Exchange with ticker 9984.T for more liquidity. Boston Dynamics is only a tiny portion of the SoftBank portfolio, which also invests in the following niches: SoftBank is primarily a telecommunications company with cell phone plans. The Softbank Vision Fund is a venture capital fund investing in tech startups, including Boston Dynamics, DoorDash, and Uber. Private companies like Boston Dynamics raise capital through late-stage startup investing platforms. These funding rounds help the company grow to go public when angel investors can sell their privately held shares. You must be an accredited investor to participate. If you’re eligible for these platforms, consider investing in robotics offerings as they become available. Until Boston Dynamic goes public, consider investing in the following companies if you want to profit from smart robots. Note that a stock analyzer can help you complete your due diligence to understand a stock’s risks, rewards, and how it might fit into your investment strategy. iRobot (Nasdaq: IRBT) holds the largest market share for consumer-focused robots. The producer’s Roomba robot vacuums are the most recognized consumer product. Customers can also add robotic mops and air purifiers to their home cleaning system. These machines don’t perform the same functions as the Boston Dynamics robots, but they help solve customer needs for daily tasks. Rockwell Automation (NYSE: ROK) produces industrial automation components and controls. These devices and machines increase productivity and contain smart sensors that provide real-time updates and alerts. Rockwell’s machines are mostly stationary instead of bi-ped or quad-ped roving robots with the ability to move within certain boundaries. Nvidia (Nasdaq: NVDA) is an artificial intelligence darling that provides computer chips and graphic processing units for many AI-powered devices. Boston Dynamics is one of its many customers, so the share price could increase when demand for high-tech chips is strong. A sector ETF such as Global X Artificial Intelligence & Technology ETF (Nasdaq: AIQ) provides instant exposure to multiple companies offering AI services. Its 0.68% expense ratio is higher than most broad market index funds but slightly lower than competing funds. If you want more diversity to manage risk, consider this investment option, as picking individual stocks can be riskier. Additionally, the artificial intelligence industry is relatively young, and knowing which companies will be successful is challenging. A recent example of the fund’s top 10 holdings include: Some holdings are direct competitors that might be developing similar technology, although with different applications. Other companies like Amazon may use AI to improve efficiency and automate more processes. ✨ Related: How to Buy Hulu Stock Boston Dynamics doesn’t have a stock symbol as it’s a private company. The company hasn’t filed to become a publicly-traded company. As of June 2023, there are no indications that Boston Dynamics is taking steps to have an initial public offering (IPO). For now, investors wanting exposure to AI should consider other stocks or sector ETFs. Hyundai Motor Group has an 80% controlling interest and states that Boston Dynamics operates as an independent business within the company’s broader portfolio. Further, a SoftBank affiliate owns the remaining 20%. Previously, Alphabet (formerly known as Google X) owned a controlling stake in the company from 2013 until 2017. Softbank held a 100% controlling interest from 2017 until 2021 when Hyundai purchased an 80% interest. Boston Dynamics doesn’t release financial data as it’s a private company. During the 2020-2021 acquisition from Hyundai, the deal valued the robotics company at $1.1 billion. It’s probable that the company will be worth more in 2023 as it has more investor interest and product sales. There are no risk-free investments, and investing in Boston Dynamics carries several risks. First, it’s a private company that holds a tiny position in the holdings of Hyundai (HYMTF) or SoftBank (SFTBF). The price performance for either stock is more correlated to other business ventures than robots. Also, many remain cautious about artificial intelligence ethics as there are concerns that law enforcement or military agencies can use robots to harm or target individuals. Boston Dynamics and several other leading AI companies have pledged not to sell units to buyers with intentions to use the robot as a weapon or for harmful purposes. While Boston Dynamics remains a private company without any hints of going public shortly, you can gain indirect exposure by purchasing shares in the two companies with a controlling interest (Hyundai Motors Group and SoftBank). Your other option is to invest in the broader tech sector through an exchange-traded fund and wait patiently for Boston Dynamics to go public if it ever happens. Regardless of your decision, it’s important to remember that AI companies make up a small part of the overall market and that portfolio diversification should always be a priority when deciding where to invest. The stock market may seem overvalued but you know you shouldn't try to time the market - what should you do instead? It's easy to tell people that they shouldn't react emotionally when they're investing. Don't sell when you're scared and don't… eToro is it one of the most comprehensive cryptocurrency trading apps in the industry as it offers trading in 15 cryptocurrencies. It also allows you to track and copy successful traders on the app. Webull Product Name: Webull Product Description: Webull is a trading platform that has $0 commissions on stocks, ETFs and options. … After graduating in $50k with student loans in May 2008 from Virginia Military Institute with a B.A. International Studies and Political Science with a minor in Spanish (he studied abroad in Sevilla, Spain for 3 months), Josh decided to sell his soul for seven years by working in the transportation industry to get out of debt ASAP and focus on doing something else with a better work-life balance. He is a father of three and has been writing about (almost) everything personal finance since 2015. You can also find him at his own blog Money Buffalo where he shares his personal experience of becoming debt-free (twice) and taking a 50%+ pay cut when he changed careers. Today, Josh relishes the flexibility of being self-employed and debt-free and encourages others to pursue their dreams. Josh enjoys spending his free time reading books and spending time with his wife and three children. Opinions expressed here are the author's alone, not those of any bank or financial institution. This content has not been reviewed, approved or otherwise endorsed by any of these entities. Δ Δ As Seen In: Disclaimer I am not a financial adviser. The content on this site is for informational and educational purposes only and should not be construed as professional financial advice. Please consult with a licensed financial or tax advisor before making any decisions based on the information you see here. Advertising Disclosure I may be compensated through 3rd party advertisers but our reviews, comparisons, and articles are based on objective measures and analysis. For additional information, please review our advertising disclosure. Contact Us Best Wallet Hacks P.O. Box 323 Fulton, MD 20759 Email Us © 2025 Best Wallet Hacks • All rights reserved

Tutor Intelligence, which makes AI-powered robots for warehouse work, has raised $34 million in new funding. Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required. yesSubscribe to our daily newsletter, PYMNTS Today. By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. Δ The company will use the new capital to speed commercialization of its robots, scale its consumer packaged goods (CPG) fleet and advance its central robot intelligence platform and research infrastructure, according to a Monday (Dec. 1) news release. “Tutor stands out for its extraordinary speed of execution and its ability to balance cutting-edge product and model development with a clear commercial focus that quickly gets this functionality into customers’ hands,” Rebecca Kaden, managing partner at Union Square Ventures, which led the funding round, said in the release. “They’re not building for an abstract future; they’re transforming how CPG companies operate today.” Founded out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Tutor Intelligence’s robots work alongside human operators to process goods for a “vast Fortune 50 supply chain network,” the company said in the release. It also works with multiple Fortune 500 packaged food companies, and “global leaders” in the personal care, toys, home goods, beauty and consumer technology spaces. “When we started Tutor Intelligence nearly five years ago as grad students at MIT, we saw that the robotics intelligence bottleneck was the key barrier to robotic worker viability,” said Josh Gruenstein, the company’s co-founder and CEO. “We built a system that leverages on-the-job data to teach robots to navigate and understand the physical world with human-like intuition. This new capital enables us to expand our fleet, scale our robot training infrastructure, and empower our robots to tackle increasingly complex tasks, reshaping industrial work as we know it.” Advertisement: Scroll to Continue The funding comes at a time when, as covered here last month, physical artificial intelligence (AI) is emerging as the next stage of robotics. Earlier robots followed fixed commands and worked only in predictable environments, having trouble with the unpredictability found in everyday operations such as shifting layouts, mixed lighting, and human movement. “That is beginning to change as research groups show how simulation, digital twins and multimodal learning pipelines enable robots to learn adaptive behaviors and carry those behaviors into real facilities with minimal retraining,” PYMNTS wrote. Amazon’s launch of its Vulcan robot is one of the clearest examples of physical AI moving from research to frontline operations. This robot uses both vision and touch to pick and stow items in the company’s fulfillment centers, letting it handle flexible fabric storage pods and unpredictable product shapes. Terraform Labs Co-Founder Do Kwon Sentenced to 15 Years in Prison Costco’s Digital Sales Surge 21% as Members Maintain Spending Appeals Court Says Judge Must Consider Allowing Apple to Collect Commission Disney's $1 Billion Bet: A Licensing Model With OpenAI for User Content We’re always on the lookout for opportunities to partner with innovators and disruptors.

Want to read in a language you're more familiar with? The first multimodal large-scale model 'JiuTian' has topped the OpenCompass multimodal large-scale model ranking upon its debut evaluation. Harbin Institute of Technology (Shenzhen) Computing and Intelligence Research Institute team, relying on Shenzhen Hashen Asset Management Co., Ltd. for achievement transformation, has established a multimodal large-scale model development enterprise - Shenzhen Ruoyu Technology Co., Ltd. (abbreviated as 'Ruo Yu Technology') The first multimodal large-scale model 'JiuTian' under Shenzhen Ruoyu Technology Co., Ltd. has topped the OpenCompass multimodal large-scale model ranking upon its debut evaluation. '123 billion parameters', '120 million image-text pairs', '5.5 million bilingual language samples', '1.2 million fine-tuning data samples', “500,000 reinforcement data samples”... The improvement of core parameters brings about a qualitative change in the model's capabilities. JiuTian multimodal large-scale model has achieved remarkable performance in logical reasoning, relational reasoning, and perceptual abilities. With over billions of parameters, JiuTian has achieved multimodal fusion of text, images, audio, and video. Its intelligent understanding and response capabilities not only cover fields such as natural language processing, computer vision, and speech recognition but also effectively break down the information barriers between different modalities, integrating them into a unified 'JiuTian'. 'The 'JiuTian' symbolizes the highest celestial realm in ancient Chinese mythology, representing our boundless pursuit of technological progress and longing for an intelligent future. This model transcends the boundaries of various modes such as text, images, audio, and video with its powerful understanding and responsive capabilities, achieving true multimodal fusion.' Dr. Sun Teng, CEO of Ruoyu Technology, explained: 'By finding bridges that connect various fields from a disordered and fragmented information world, integrating information from different domains such as natural language processing, computer vision, and speech recognition breaks down the information silos between modalities and truly achieves orderly flow and communication of information.' Harbin Institute of Technology Shenzhen Campus has established an asset joint-stock company to encourage the transformation and implementation of achievements by faculty and staff. HIT (Shenzhen) receives policy support for the integration of production, education, and research. If Shenzhen Ruoyu Technology Co., Ltd. had been established from the beginning with the school as an initial shareholder, it would have provided strong support for the company's development. Recently, the well-known magazine IEEE Intelligent Systems announced its list of 'AI's 10 to Watch' for the year 2022. Professor Nie Liqiang was included in this list due to his contributions in the field of multimodal research. Professor Nie is a recipient of the DAMO Academy Qingcheng Award and TR35 China Award. He stated that the achievements of Harbin Institute of Technology (Shenzhen) in the field of artificial intelligence should not only exist within laboratories but also be transformed into practical applications to serve national defense, aerospace, and society. If Ruoyu Technology Co., Ltd. has another AI expert as a co-founder, it would be Professor Zhang Min. Professor Zhang is the Assistant President of Harbin Institute of Technology (Shenzhen), the first distinguished young scholar in NLP field in China, a national "Top Talent" recipient, a mid-career expert with outstanding contributions recognized by the state, and he also enjoys special allowances from the State Council. Harbin Institute of Technology ranks first among Chinese research institutions in NLP direction according to CSRankings (2022-2023), an authoritative ranking list in computer science. Professor Zhang is the most influential person at Harbin Institute of Technology in this field. Dr. Sun Teng, co-founder and CEO of Ruoyu Technology Co., Ltd. , is also a core expert in the company's research and development team. Dr. Sun's research has always focused on multimedia computing, with related achievements published in CCF A-class conferences and IEEE/ACM Trans. Dr. Sun has previous successful entrepreneurial experience and possesses full-process experience in the application of artificial intelligence technology in vertical fields as well as company management expertise. Geng Chen, another co-founder of Ruoyu Technology Co., Ltd. , serves as the company's strategic advisor. He has been repeatedly recognized as the best technology analyst by New Fortune magazine and has accumulated rich industry resources throughout his years of research career. He is responsible for investment and financing activities as well as connecting industrial resources for the company's implementation purposes. ‘If Ruoyu Technology Co., Ltd. was established at this time, it has its historical mission and ideals. As cutting-edge researchers, we deeply feel the transformative impact of artificial intelligence on future society. The productivity explosion brought by generative AI will redefine production relationships in various industries. It is our honor and mission to have the opportunity to participate in it. ’Computing power, data, and talent are the three major barriers for entering the field of large-scale models, and Ruoyu Technology Co., Ltd. has gathered these core elements from its inception. The internally developed research and development team led by top talents has formed independent iterative capabilities. In the future, under the leadership of technical experts, ‘JiuTian’will continue to iterate. With top-notch entrepreneurial team, core capabilities in self-developed multimodal large models, and successful practical experience, Ruo Yu Technology expresses that it will bring a touch of brilliance to the 'Battle of Hundred Models'. Based on the foundation of large-scale model capabilities, reshaping each track has become an industry consensus. According to OpenAI's development path, when models reach a certain size, new abilities will emerge, especially some previously unseen capabilities. If JiuTian will continue to iterate in the future, Dr. Sun Teng said: 'JiuTian' is still iterating towards both larger and smaller directions. On one hand, it is increasing the scale of parameters to explore nodes that support the emergence of universal multimodal large models. On the other hand, in order to meet the application needs of industry users and achieve maximum effects with minimal computing power, it is necessary to compress large models into lightweight ones and combine them with edge computing devices. SEE ALSO: SenseTime Releases Large Multimodal Model amid ChatGPT Boom Based on the multimodal framework of 'JiuTian', Ruo Yu Technology's business model has a fundamental difference from the AI 1.0 era. In the past, the business model required redeveloping algorithms for each specific demand, operating on a project basis. With 'JiuTian' as a unified multimodal foundation, there is no need to redesign the framework; only minor adjustments based on different industry data are necessary to obtain corresponding industry models. Customers can even make secondary adjustments themselves according to their specific domain requirements using their own data. The difficulty of multimodal large models lies in the fusion of multimodal information. Common fusion methods include linear addition, cascading, and other relatively crude means. However, the final effect is often not as impressive as that of a single modality. This is because some technical teams lack experience and capabilities in fine-tuning multimodal data, integrating and aligning multimodal features. JiuTian has a fully integrated model training framework for autonomous development of multimodal feature extraction, alignment, fusion, and inference, as well as a comprehensive and meticulous process for collecting and cleaning multimodal data. The model's top ranking on the multimodal large-scale model list proves the team's leading capabilities in the field of multimodal large-scale models. Robots are system-level application products in the industrial field, and they are a key direction empowered by the multimodal large model base of 'Ruo Yu-Jiu Tian'. Harbin Institute of Technology currently has deep industry-academia-research accumulation in the field of robotics. In the future, embodied robots will require the fusion of multimodal information such as speech, vision, decision-making, and control to form a closed loop. The multimodal large model base of 'JiuTian' will further integrate research based on Harbin Institute of Technology's accumulated expertise in robotics and has already established deep cooperation with several large consumer electronics/automotive companies. With the 'JiuTian' multimodal large model base, Ruo Yu Technology has the ability to provide personalized and customized services for users in different fields through fine-tuning of existing multimodal large model bases. It provides capabilities such as language pre-training large models, multimodal pre-training large models, and vertical domain pre-training large models, aiming to build a future AI general-purpose platform and infrastructure. Related posts coming soon... Pandaily is a tech media based in Beijing. Our mission is to deliver premium content and contextual insights on China's technology scene to the worldwide tech community. © 2017 - 2025 Pandaily. All rights reserved.

In the fast-evolving world of technology, 2026 promises to be a pivotal year where artificial intelligence moves beyond hype into tangible, enterprise-level impact. Industry leaders are shifting from pilot projects to full-scale deployments, driven by advancements in AI infrastructure and multimodal models. According to insights from Deloitte Insights, successful organizations are leveraging these tools to transition from experimentation to measurable outcomes, emphasizing the integration of AI with existing systems for strategic advantages. This shift is not just about adopting new tools but rethinking business models entirely. For instance, AI-powered decision-making is combining with Internet of Things (IoT) and blockchain to enable real-time analytics and secure data sharing. Posts on X highlight how these integrations are expanding AI’s role from operational support to core strategic planning, with examples like multilingual generative AI enhancing global operations. Meanwhile, the push for sustainability is intertwining with tech innovations, as companies invest in green technologies to meet regulatory demands and consumer expectations. Reports indicate that bio-based materials and decentralized renewable energy sources are gaining traction, positioning them as key growth areas in the post-2025 era. AI’s Expanding Dominion in Enterprise Strategy The rise of agentic AI, where systems autonomously perform tasks and make decisions, is set to redefine workflows across sectors. Simplilearn outlines how emerging technologies like this are shaping job markets and innovation pipelines, predicting a surge in demand for skills in AI governance and ethical implementation. In parallel, multimodal AI models that process text, images, and audio simultaneously are enabling more sophisticated applications, from advanced healthcare diagnostics to personalized consumer experiences. This convergence is particularly evident in telemedicine platforms and mental health apps, which are leveraging AI for proactive interventions. Challenges remain, however, including the need for robust data privacy measures and addressing biases in AI systems. Industry insiders note that as AI integrates deeper into critical sectors like healthcare and finance, regulatory frameworks will evolve to ensure accountability without stifling progress. Quantum Leaps and Neuromorphic Computing on the Horizon Quantum computing is another frontier gaining momentum, with potential to solve complex problems in drug discovery and financial modeling at unprecedented speeds. The World Economic Forum lists it among the top emerging technologies for 2025, extending into 2026, highlighting its role in accelerating scientific breakthroughs. Neuromorphic computing, mimicking the human brain’s efficiency, is emerging as a solution to the energy demands of traditional AI hardware. Juniper Research identifies this as a trend to watch, noting its potential to enable physical AI—robots and devices that learn and adapt in real-world environments. This technology is particularly promising for edge computing, where low-power, high-efficiency processing is crucial. Innovations in this area could revolutionize industries like manufacturing, with AI-driven diagnostics and 3D printing for on-demand production reducing waste and costs. Sustainability Drives Tech Innovation Waves The intersection of technology and environmental responsibility is creating new opportunities in renewable energy and circular economies. Decentralized systems powered by blockchain are facilitating peer-to-peer energy trading, as seen in emerging agri-tech solutions that optimize resource use. McKinsey ranks sustainability-focused tech among the top trends, emphasizing how companies are using AI to monitor and reduce carbon footprints in supply chains. This includes predictive analytics for energy consumption in data centers, which are exploding in number due to AI demands. Posts on X underscore the investment potential in AI infrastructure, with cloud giants like Microsoft and Amazon ramping up monetization efforts. These developments are not without hurdles, as the energy requirements of massive data centers raise concerns about grid stability and environmental impact. Blockchain’s Role in Secure Digital Ecosystems Beyond cryptocurrencies, blockchain is evolving into a foundational technology for secure, transparent transactions across industries. Its integration with AI and 5G is enabling innovations in supply chain management and digital identities, reducing fraud and enhancing traceability. In healthcare, blockchain-secured data sharing is improving patient outcomes by allowing seamless, privacy-protected access to records. SciTechDaily reports on breakthroughs in biotechnology that leverage these secure frameworks for collaborative research. The automotive sector is also benefiting, with concepts in electric vehicles (EVs) incorporating blockchain for battery lifecycle management and smart contracts for autonomous vehicle interactions. As the industry navigates hybrid and battery-electric transitions, these technologies ensure efficiency and compliance. The Surge of Physical AI and Robotics Physical AI, where intelligent systems interact with the physical world, is poised for significant advancements. Robots equipped with neuromorphic chips are becoming more autonomous, capable of learning from environments without constant human oversight. TechTarget discusses trends like this in machine learning, predicting widespread adoption in logistics and healthcare by 2026. For example, AI-driven robotics in surgery could enhance precision and reduce recovery times. Challenges in scalability and ethical deployment are prompting discussions on governance. Industry experts on X emphasize the need for open-source AI to foster competition and innovation, especially in geopolitical contexts like U.S.-China tech rivalries. Navigating Geopolitical Influences on Tech Progress Global tensions are influencing tech development, with calls for open-source initiatives to counter proprietary dominance. Elon Musk’s ventures, often highlighted in media, exemplify how individual leaders can shape federal policies on AI and space tech. WIRED reflects on 2025’s key stories, including AI data center expansions and political takeovers, projecting similar dynamics into 2026. This includes debates over post-quantum cryptography to secure communications against future threats. Investment themes on X point to digital banks and AI infrastructure as high-growth areas, with cloud providers leading the charge. These trends suggest a maturing market where profitability drives innovation rather than speculation. Innovations in XR and Foldable Devices Extended reality (XR) technologies are blending virtual and augmented realities for immersive experiences in education and training. The mobile tech sector is seeing revolutions with tri-fold devices and ultra-thin designs, as noted in recent analyses. Android Central details how 2025’s foldables and AI integrations are fundamentally changing user interactions, with 2026 expected to build on this by incorporating more seamless AI assistants. In consumer electronics, these innovations are driving competition, with companies like Samsung and Apple pushing boundaries in hardware that supports advanced software ecosystems. The result is a more connected, intuitive user experience that blurs lines between devices. Healthcare Transformations Through Tech Integration AI’s role in healthcare is expanding rapidly, from predictive diagnostics to personalized medicine. Multimodal models are analyzing vast datasets to identify patterns in diseases, accelerating drug development. Jagran Josh lists breakthroughs like autonomous agents in medical research, which are set to define 2026’s advancements. Telemedicine platforms enhanced by AI are making healthcare more accessible, especially in remote areas. Ethical considerations, such as data sovereignty and bias mitigation, are critical. Regulatory bodies are stepping in to ensure these technologies benefit society equitably, balancing innovation with public trust. The Future of Work in an AI-Driven World As AI automates routine tasks, the workforce is shifting toward roles requiring creativity and strategic thinking. Remote work norms, amplified by digital tools, are becoming standard, as per startup trends discussed on X. Capgemini explores how these changes are driving industry transformation, with a focus on upskilling programs to prepare employees for an AI-first environment. Investments in synthetic biology and longevity research are opening new frontiers, potentially extending human capabilities and creating markets in bio-based innovations. This holistic approach ensures technology enhances human potential rather than replacing it. Strategic Investments and Market Dynamics Venture capital is flowing into AI infrastructure, with hyperscalers projecting massive capital expenditures. Posts on X from investors highlight profitable growth in cloud revenues, underscoring the economic viability of these technologies. Firstpost recaps 2025’s defining innovations, noting AI’s dominance alongside breakthroughs in EVs and biotechnology, setting the stage for 2026’s expansions. Companies like Tesla and Amazon exemplify how innovation leads to market leadership, with revenue growth tied to tech adoption. As 2026 unfolds, the focus will be on scalable, impactful solutions that address real-world challenges. Emerging Sectors and Long-Term Visions New sectors like advanced waste management and micro-factories are emerging, driven by 3D printing and AI optimization. These areas promise sustainable growth, reducing environmental footprints while creating jobs. Popular Science celebrates 2025’s greatest innovations, including automotive shifts toward hybrids and EVs, which will influence 2026’s transportation tech. Ultimately, the tech environment in 2026 will be defined by interconnected innovations that prioritize impact over novelty. Industry insiders must navigate these trends with foresight, investing in technologies that align with broader societal goals for enduring success. Subscribe for Updates The AITrends Email Newsletter keeps you informed on the latest developments in artificial intelligence. 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Want to read in a language you're more familiar with? SenseTime and Nanyang Technological University have unveiled NEO, the world’s first scalable, open-source native multimodal architecture that fundamentally fuses vision and language. On December 5, 2025, SenseTime, together with Nanyang Technological University and other research teams, released NEO, the world’s first scalable, open-source native multimodal architecture (Native VLM), breaking free from the limitations of traditional modular “assembly-style” models and marking the arrival of a new era of true multimodal fusion. Unlike mainstream modular models such as GPT-4V or Claude 3.5, NEO discards the conventional “vision encoder + projection layer + language model” pipeline and instead builds a unified multimodal ‘brain’. Its breakthroughs stem from three native technologies: Real-world evaluations show that NEO matches top models such as Qwen2-VL and InternVL3 on visual tasks(including AI2D and DocVQA) using only 390 million image-text pairs—just one-tenth of the data used by comparable models. On benchmarks like MMMU and MMBench, NEO outperforms other native VLMs in overall capability. Its 2B–8B parameter models deliver exceptional inference cost-efficiency, making them suitable for mobile devices, robots, and other edge scenarios. SenseTime has already open-sourced the 2B and 9B versionsof NEO and plans to extend the architecture to video understanding, 3D interaction, and more. This new framework not only introduces a fresh paradigm for multimodal AI, but also accelerates the shift of advanced AI from the cloud to edge devices, representing a significant contribution by Chinese researchers to global AI architecture innovation. Related posts coming soon... Pandaily is a tech media based in Beijing. Our mission is to deliver premium content and contextual insights on China's technology scene to the worldwide tech community. © 2017 - 2025 Pandaily. All rights reserved.

From daily news and career tips to monthly insights on AI, sustainability, software, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies. We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. Follow Us On Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. RGMP helps humanoids adapt quickly to new environments, enabling them to perform household chores without additional training. Researchers in China have introduced a new AI framework designed to enhance humanoid robot manipulation. According to researchers at Wuhan University, RGMP (recurrent geometric-prior multimodal policy) aims to improve grasping accuracy across a broader range of objects and enable robots to perform more complex manual tasks. Unlike many data-driven methods that rely on large training datasets, RGMP incorporates geometric reasoning to boost generalization in new or unpredictable environments. The framework achieves 87 percent generalization and is 5 times more data-efficient than leading diffusion-based models, combining spatial reasoning with efficient learning. The researchers say the framework could be a step toward more adaptable and capable humanoid systems. For humanoid robots to operate independently, they must reliably handle multiple objects across different environments. Current machine learning models often work well only when the robot operates in settings similar to those used during training. These systems rely heavily on large datasets and do not fully use geometric reasoning or spatial awareness, making it difficult for robots to adapt in new situations. Vision-language models can understand instructions but often struggle to link them with the correct actions, especially when object shapes or contexts vary. According to researchers, other approaches, like diffusion or imitation learning, require many demonstrations and still fail to generalize. This raises two key questions: how robots can reason about object geometry and how they can learn effectively with fewer examples. To address limitations in current robot manipulation systems, the team developed RGMP, a new end-to-end framework that combines geometric reasoning with efficient learning. The first part, called the Geometric-prior Skill Selector (GSS), helps the robot choose the correct action based on an object’s shape and task requirements, much as humans decide whether to grasp, pinch, or push. It uses simple geometric rules and works even in new environments. The second part, the Adaptive Recursive Gaussian Network (ARGN), improves learning from small datasets by storing and updating spatial memory. It models the robot’s interactions with objects over time, thereby avoiding vanishing gradients. Together, these components help robots generalize better and handle more complex tasks with fewer training examples. The team tested the RGMP framework to assess its performance and generalization. Experiments were carried out on two types of robots: a humanoid system and a desktop dual-arm robot equipped with cameras and 6-DoF arms. A dataset of 120 demonstration trajectories was used, and performance was measured through two metrics: selecting the correct skill and executing it accurately. RGMP was compared with leading models, including ResNet50, Diffusion Policy, Octo, OpenVLA, and others. The results show RGMP performed better across multiple manipulation tasks, including unseen objects and new environments. Researchers claim the GSS module improved skill selection by up to 25 percent, while ARGN and Gaussian modeling improved execution accuracy. The system also required far fewer training samples—achieving high performance with just 40 examples, compared to 200 needed by baseline models—demonstrating strong efficiency and adaptability. The team highlights that by linking skills to object context and breaking 6-DoF motions into Gaussian components, the system improves efficiency and generalization. RGMP achieves 87 percent generalization accuracy and uses 5 times less data than the Diffusion Policy during human-robot interaction tests. The results show that integrating symbolic reasoning with learning improves adaptability across new objects and environments. Future research will focus on enabling robots to infer actions for new objects after learning just one example. The Wuhan University team’s research details are available on the arXiv preprint server. Jijo is an automotive and business journalist based in India. Armed with a BA in History (Honors) from St. Stephen's College, Delhi University, and a PG diploma in Journalism from the Indian Institute of Mass Communication, Delhi, he has worked for news agencies, national newspapers, and automotive magazines. In his spare time, he likes to go off-roading, engage in political discourse, travel, and teach languages. Premium Follow

Written by Vicky Chang Published on 15 Sep 2025 3 mins read China Recap is a weekly roundup tracking Chinese companies expanding abroad, covering market entries, funding rounds, product launches, and global partnerships. China’s corporate globalization strategy is evolving fast. Industry giants are rewriting the global playbook, while a new generation of companies charts fresh paths overseas. China Recap tracks both—focusing on strategic expansion, brand building, and localized operations—to help readers make sense of shifting trends and understand how Chinese firms are reshaping their global approach. This edition highlights China’s advances in artificial and embodied intelligence, as humanoid robots move toward commercialization and AI infrastructure and applications expand in function and capacity. Meituan has launched Xiaomei, an app powered by its LongCat large model, to strengthen its food delivery and local services. Xiaomei uses AI agents to let users order meals by voice and book restaurants. Shares rose in Hong Kong after the rollout, which comes as Alibaba and JD.com escalate competition in China’s delivery market. —Bloomberg UBTech Robotics has won a RMB 250 million (USD 35 million) contract for its Walker S2 humanoid robots, which it described as the “world’s largest order” of its kind. Deliveries will begin this year, and the deal includes operational support services. The Hong Kong-listed firm did not name the client. —Nikkei Asia Alibaba and Baidu have reportedly begun using self-designed chips to train AI models, partly replacing Nvidia hardware. Alibaba has applied its chips to smaller models, while Baidu is testing its Kunlun P800 for Ernie. The shift reflects US export curbs and Beijing’s push for tech self-sufficiency, though both firms still rely on Nvidia for top-tier models. —The Information Ant Group has unveiled its first humanoid robot, R1, at a Shanghai tech conference, highlighting its shift toward AI-powered robotics. Designed to handle tasks from cooking to medical assistance, the R1 runs on Ant’s in-house large model and reflects its strategy to scale AI assistant use across China. —Bloomberg China has reportedly narrowed its gap in AI development with the US to about three months, driven by rapid iteration, open-source model advances, and strategic chip reserves, according to CITIC CLSA. However, it still lags in advanced semiconductor production, which remains a longer-term hurdle that constrains progress in cutting-edge AI capabilities. —SCMP RELATED ARTICLENewsChina Recap | How fandoms shape marketsWritten by Vicky Chang Written by Vicky Chang Unitree Robotics is reportedly preparing to file for an IPO in the final quarter of 2025, targeting a valuation of up to RMB 50 billion (USD 7 billion). Already profitable and active in factory deployments, Unitree could become one of the first humanoid robotics firms to go public. —CNBC ByteDance’s Seed team has released Seedream 4.0, a multimodal AI model for text-to-image generation and editing. It supports 4K output, faster inference, visual signal control, and in-context reasoning. Now live via Dreamina, Doubao, and Volcano Engine, the unified system has shown notable performance across creative tasks. Tencent has released its AI CLI tool, CodeBuddy Code, and launched the global open beta of CodeBuddy IDE. The move positions Tencent Cloud as China’s first provider to support AI-driven coding across plugin, IDE, and CLI formats. Developers can use natural language in the terminal to automate tasks like refactoring, testing, and deployment. —IT Zhijia Alibaba Cloud has led a RMB 1 billion (USD 140 million) Series A+ funding round for Shenzhen-based X Square Robot, marking its first investment in embodied intelligence. Other investors that took part include CAS Investment, China Development Bank Capital, HongShan, Meituan, and Legend Capital. The funds will support training of foundation models and hardware development. —SCMP That wraps up this edition of China Recap. If your company is expanding internationally, we’d love to hear about your latest milestones. Get in touch to share your story. Loading... Subscribe to our newsletters KrASIA A digital media company reporting on China's tech and business pulse.

Add the following snippet to your HTML:<iframe frameborder='0' height='385' scrolling='no' src='https://www.hackster.io/HiwonderRobot/from-navigation-to-cognition-building-a-multimodal-ai-robot-986212/embed' width='350'></iframe> MentorPi melds SLAM navigation and multimodal AI to explore and describe its world through natural commands. Read up about this project on MentorPi melds SLAM navigation and multimodal AI to explore and describe its world through natural commands. Have you ever imagined owning a robot that not only follows commands but truly understands what you want to explore? Traditional robots might get you from point A to point B, but what if it could genuinely see the world around it and converse with you like a partner? Meet MentorPi, an open-source robotic platform built on the Raspberry Pi 5 and ROS 2. It's far more than just a SLAM navigation rover; it's an intelligent agent deeply integrated with multimodal AI large models (language, vision, speech), merging precise low-level motion control, robust environmental perception, and high-level cognitive reasoning into a single, hands-on system. Imagine saying to it: "Hey Mentor, first go to the zoo and see what animals are there; then head to the supermarket to check out what fruits are available; finally, take me to the soccer field for a game." In traditional human-robot interaction, executing this seamlessly is nearly impossible—it contains three distinct layers of tasks: MentorPi accomplishes this coherently, thanks to the synergy between semantic understanding from large models and its SLAM navigation system. 1. Task Comprehension & Planning Voice commands are captured and converted to text. A Language Large Model deconstructs the natural language instruction, extracting the three locations and their associated visual tasks to generate a structured mission queue. 2. Autonomous Navigation & Obstacle Avoidance The SLAM system (using LiDAR and a prior map) handles point-to-point navigation. Orchestrated by ROS 2, the robot plans optimal paths, moves reliably, avoids obstacles, and reaches each target area in sequence. 3. Visual-Semantic Understanding Upon arrival, the Vision Large Model activates, scanning the scene via a 3D depth camera. At the Zoo: It doesn't just detect "animals" but provides a detailed description: "The scene includes models of a giraffe, kangaroo, tiger, etc." At the Supermarket: It focuses on identifying fruits, reporting: "Various fruits are available, such as apples, bananas, grapes, and oranges. You can choose based on preference." This represents an evolution from merely "seeing" to "comprehending" the scene's semantic content. 4. Task Completion & Closure Arriving at the soccer field, the robot confirms the user's intent is satisfied, reporting "Arrived at the soccer field, ready to play!" and closing the task loop. MentorPi is not just a demo; it's a fully open-source platform designed for learning and development: Open Hardware: Based on Raspberry Pi 5 & ROS 2, it's highly extensible and compatible with various sensors. Flexible AI Integration: Supports either local lightweight models or cloud-based AI APIs (like GPT-4V), allowing you to balance performance and cost. Modular Design: Clear separation between SLAM, voice interaction, visual recognition, and navigation modules makes debugging and customization easier. Learning-Friendly: An ideal platform for advancing your skills in robotics, SLAM, 3D vision, human-robot interaction, and AI integration. MentorPi's breakthrough lies in its deep fusion of precise spatial positioning from SLAM ("where am I") with rich semantic understanding from AI models ("what is here, what is this place"). This transforms the robot from a simple tool executing "go to coordinates (x, y)" into a responsive "exploration partner" that interacts meaningfully with its environment. We believe the future of robotics lies not in faster movement or more precise grasping, but in how well robots understand our world and how naturally we can collaborate with them. MentorPi is our practical step in that direction, and we hope it becomes a starting point for more developers, students, and enthusiasts to enter the exciting field of Embodied AI. Let's turn robots from mere tools into curious extensions for exploring the world around us. Hackster.io, an Avnet Community © 2025

In the rapidly evolving world of artificial intelligence and robotics, Meta Platforms Inc. is positioning itself not just as a social media giant, but as a pivotal force in humanoid robot development. Drawing from its vast resources in AI, the company is betting big on becoming the software backbone for these advanced machines, much like how Android powers a multitude of smartphones. This strategic pivot comes amid a surge of interest from tech behemoths, with Meta’s chief technology officer, Andrew Bosworth, recently revealing in an interview that the firm views humanoid robots as its next “AR-sized bet,” referring to the scale of investment akin to its augmented reality efforts. Bosworth’s comments, highlighted in a fresh report from PCMag, underscore Meta’s focus on licensing its open-source Llama AI models to third-party robot manufacturers. Rather than delving deeply into hardware production, Meta aims to provide the intelligent software layer that enables robots to perform complex tasks like dexterous manipulation—grasping objects with human-like precision. This approach could democratize robotics, allowing companies like Figure or Unitree to integrate Meta’s tech seamlessly, accelerating deployment in homes and workplaces. Meta’s Ambitious Roadmap: From AI Models to Real-World Helpers Internal memos and partnerships signal Meta’s seriousness. As early as February 2025, Reuters reported that Meta established a dedicated division within its Reality Labs unit to build AI-powered humanoid robots capable of assisting with physical tasks, such as household chores. The company has engaged in discussions with robotics firms, positioning itself as a platform provider rather than a direct competitor to hardware-focused players like Tesla’s Optimus. This isn’t Meta’s first foray into tactile and sensory tech for robots. Posts on X from sources like The Humanoid Hub in late 2024 highlighted Meta’s advancements in touch sensing, including a universal touch encoder and artificial fingertips for multimodal interaction. These innovations, built on projects like Project Aria, are feeding into broader humanoid development, with researchers at Georgia Tech collaborating on algorithms that use human data to train robots faster, as shared in updates from AI at Meta on X. Industry Momentum and Competitive Pressures Driving Innovation The broader push for humanoid robots is gaining steam, with investments booming across the sector. A September 2025 article in The Washington Post noted a frenzy of funding from companies like Amazon and Meta, leading to new robots appearing in homes and workplaces. Meanwhile, Bloomberg reported in February 2025 that Apple and Meta are set to battle in this space, with Meta’s efforts potentially clashing with Apple’s hardware prowess. Challenges remain, however. IEEE Spectrum’s analysis from September 2025 points to scaling hurdles, including battery life, safety concerns, and high demand that could strain production. Meta’s software-centric strategy might sidestep some hardware pitfalls, but it must prove its AI can handle real-world variability. Bosworth admitted in the PCMag interview that dexterous manipulation is the “real hurdle,” not basic locomotion, echoing sentiments from Nvidia CEO Jensen Huang at CES 2025, who predicted a $38 billion market and a “ChatGPT moment” for robotics. Collaborations and Future Visions: Licensing as the Key to Dominance Meta’s vision extends to creating a “Metabot” platform, as detailed in a WebProNews piece from September 2025, where the company plans to license AI to power humanoids by 2030. This mirrors Android’s model, fostering an ecosystem where Meta innovates on software while partners manage mechanics. Recent X posts from users like VraserX and Global Trends X amplify this buzz, with Bosworth confirming the multi-billion-dollar commitment and a star-studded team of robotics experts. Looking ahead, Meta’s integrations could transform industries. Standard Bots’ blog from September 2025 outlines humanoid types and prices, suggesting costs could drop as AI improves efficiency. Yet, as CNBC explored in mid-September 2025, the industry awaits its breakthrough moment for widespread adoption, with Meta potentially catalyzing it through open-source AI. Economic Implications and Ethical Considerations in Robotics Economically, this could reshape labor markets. The New York Times reported just days ago that China leads in factory robots, outpacing the world combined, but Meta’s global licensing could level the playing field for Western firms. Bain & Company’s 2025 technology report urges industries to assess humanoid deployment, from manufacturing to healthcare, where AI-driven bots could handle repetitive tasks. Ethically, questions arise about job displacement and safety. While Meta emphasizes assistance in physical tasks, critics worry about over-reliance on AI. Interesting Engineering’s recent piece on Tesla’s Optimus highlights progress in demos but lags in practical use, a cautionary tale for Meta. Still, with advancements like KAIST’s moonwalking robot from TechXplore in September 2025, the tech is maturing rapidly. Meta’s Edge: Leveraging Data and Open-Source Power Meta’s strength lies in its data trove from social platforms, fueling AI training. The company’s Ego-Exo4D project, as mentioned in X posts from AI at Meta, provides datasets for human-robot interaction, potentially giving Metabot an edge in natural movements. Partnerships with firms like Unitree, noted in February 2025 X updates from Andrew Curran, could lead to prototypes soon. As the current date marks late September 2025, Meta’s humanoid ambitions are crystallizing. By focusing on software, the company avoids the pitfalls that have plagued hardware ventures, positioning itself as the indispensable “backbone” Huang referenced. If successful, Meta could redefine not just social connectivity, but physical assistance in daily life, blending its AI heritage with robotic frontiers. Subscribe for Updates News and insights for social media leaders, marketers and decision makers. Help us improve our content by reporting any issues you find. Get the free daily newsletter read by decision makers Get our media kit Deliver your marketing message directly to decision makers.