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AI, Nvidia deploy robot brain on Blackwell assembly lines","url":"https://stock-news.laohu8.com/highlight/detail?id=2620491666","media":"Reuters","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2620491666?lang=en_us&edition=fundamental","pubTime":"2026-03-17 04:30","pubTimestamp":1773693000,"startTime":"0","endTime":"0","summary":"March 16  - Skild AI's artificial intelligence model will power robots manning Foxconn's 2354.TW assembly lines in Houston, where Nvidia's NVDA.O Blackwell GPU server racks are built, in what the companies described as an early commercial deployment of generalized physical AI.The startup, backed by Nvidia and SoftBank 9984.T, said on Monday that it would also partner with ABB Robotics and Universal Robots to embed its software across industrial robots, aiming to supply what it calls a general-purpose \"brain\".Skild AI said its generalized AI model addresses a key limitation of current robotics systems, which are typically programmed for a single repetitive task and require extensive engineering to adapt to new processes.\"If we partner with robotic OEMs  that already have hundreds of thousands of robots deployed, it gives us a path to extreme scalability and establishes the data flywheel,\" Skild AI CEO Deepak Pathak told 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and Uber expand partnership to launch autonomous ride-hailing across 28 cities by 2028","url":"https://stock-news.laohu8.com/highlight/detail?id=2620820491","media":"Reuters","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2620820491?lang=en_us&edition=fundamental","pubTime":"2026-03-17 04:24","pubTimestamp":1773692677,"startTime":"0","endTime":"0","summary":"Nvidia said BYD, Geely, Isuzu and Nissan are building Level 4-ready vehicles using the Nvidia DRIVE Hyperion platform. Nvidia and Uber said they expanded their partnership to launch autonomous vehicles powered by Nvidia DRIVE AV software across 28 cities and four continents by 2028. Nvidia said the rollout under the Uber partnership is set to begin in Los Angeles and the San Francisco Bay Area in the first half of 2027. Nvidia also said it is collaborating with Amazon to advance Alexa Custom Assistant with multimodal edge AI capabilities on Nvidia DRIVE AGX 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forms Nemotron Coalition with Mistral AI and other AI labs to build open frontier models","url":"https://stock-news.laohu8.com/highlight/detail?id=2620085499","media":"Reuters","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2620085499?lang=en_us&edition=fundamental","pubTime":"2026-03-17 04:19","pubTimestamp":1773692353,"startTime":"0","endTime":"0","summary":"Nvidia announced the Nemotron Coalition, a consortium of AI labs and model builders focused on developing open, frontier-level foundation models. Inaugural members include Black Forest Labs, Cursor, LangChain, Mistral AI, Perplexity, Reflection AI, Sarvam and Thinking Machines Lab. The coalition’s first project is a base model co-developed by Nvidia and Mistral AI, with other members contributing data, evaluations and domain expertise. 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unveils expanded open model families at GTC 2026","url":"https://stock-news.laohu8.com/highlight/detail?id=2620149924","media":"Reuters","labels":["productRelease","conferences"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2620149924?lang=en_us&edition=fundamental","pubTime":"2026-03-17 04:16","pubTimestamp":1773692172,"startTime":"0","endTime":"0","summary":"Nvidia participated in GTC, where it announced an expansion of its open model families for agentic, physical and healthcare AI. At the event, it introduced Nemotron 3 models, including Ultra, Omni and VoiceChat, and referenced safety models and an agentic retrieval pipeline. Nvidia also discussed physical AI models including Isaac GR00T N1.7, Alpamayo 1.5 and Cosmos 3, and CEO Jensen Huang previewed GR00T N2. In healthcare AI, it highlighted the Proteina-Complexa model and a collaboration with Google DeepMind, EMBL’s European Bioinformatics Institute and Seoul National University to add 1.7 million high-confidence protein complex predictions to the AlphaFold database. It also introduced nvQSP and reported benchmark tests showing up to 77x faster performance than single-threaded CPU 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