{"id":3305,"date":"2026-08-27T18:41:38","date_gmt":"2026-08-27T18:41:38","guid":{"rendered":"https:\/\/www.vaultinsider.top\/?p=3305"},"modified":"2026-08-27T18:41:38","modified_gmt":"2026-08-27T18:41:38","slug":"anthropic-makes-first-move-into-physical-ai-with-universal-standard-that-could-bring-scientific-labs-to-life","status":"publish","type":"post","link":"https:\/\/www.vaultinsider.top\/?p=3305","title":{"rendered":"Anthropic makes first move into physical AI with universal standard that could bring scientific labs to life"},"content":{"rendered":"

<\/p>\n

Imagine a factory where all the equipment is powered by AI, where robotic arms and assembly lines can \u201ccommunicate\u201d with their own shared language. Or picture a science lab, where microscopes can autonomously search for a certain type of molecule\u2014all hours of the day, no humans necessary.<\/p>\n

\n

That\u2019s the idea behind Anthropic new Model Hardware Standard (MHS), which the company released as a research preview on Thursday. MHS, which marks Anthropic\u2019s first foray into so-called physical AI, is essentially a framework for connecting advanced large language models (LLMs) like Anthropic\u2019s Claude with physical objects, from manufacturing equipment to microscopes. <\/p>\n

With MHS, companies can integrate AI into their equipment in \u201chours or minutes,\u201d Anthropic said. Typically, this process would take \u201cweeks, if not months,\u201d and require specialists to do a custom build. Expanded access to advanced AI tools will pave the way for \u201cautonomous, round-the-clock experiments and workflows,\u201d the company said. Scientific research and advanced manufacturing applications are among the primary uses.<\/p>\n

The MHS can also help connect multiple devices to one another, enabling them to communicate through a set of commands, such as \u201cread.\u201d Any hardware device can understand these commands and act on them.<\/p>\n

MHS is model-agnostic, meaning it works with any LLM\u2014not just Claude\u2014including models built by other companies such as OpenAI or open-source models. It\u2019s built on the Model Context Protocol (MCP), a universal, open standard for connecting data sources that Anthropic debuted in 2024. The MCP is \u201ckind of like the USB for AI to software connection,\u201d Alek Kemeny, a member of the technical staff at Anthropic, tells Fortune<\/em>.<\/p>\n

Not all existing equipment can connect to MHS out of the box, as not all have a programming interface, Kemeny said. As part of this project, Anthropic is working with \u201ca lot of device manufacturers\u201d to build new products with the necessary interface, and are pre-loaded with the MHS. The company is also helping manufacturers to add MHS connections to existing products.<\/p>\n

\u201cThat\u2019s the future we imagine and are moving into,\u201d Kemeny said. \u201cIn the future, scientists can buy these devices and out of the box it works. That\u2019s just the process of adopting a standard.\u201d<\/p>\n

Jonah Cool, head of partnerships and deployment of science at Anthropic, added that often scientific equipment \u201csuffers from proprietary solutions that are very brittle and often don\u2019t meet the need of scientists.\u201d MHS offers a standardized, easily programmable interface that aims to help them connect any model to their equipment. \u201cWe want to avoid vendor lock-in for scientists,\u201d Cool said.<\/p>\n

The MHS research preview comes amid increasing interest in the potential of combining AI and robotics. Hugging Face also debuted its first physical AI product today, a robotic duck, although it is not powered by MHS, Anthropic said. Nvidia, which is set to purchase Hugging Face for $13 billion, has also long championed physical AI. In March, Nvidia CEO Jensen Huang predicted that in the future \u201cevery industrial company will become a robotics company.\u201d<\/p>\n

Anthropic developed MHS in partnership with the HHMI Janelia Research Campus, a biomedical research center in Virginia. A \u201chandful\u201d of labs and hardware manufacturers received early access during development, in fields such as biotech, robotics, and quantum computing. <\/p>\n

Some partners include Genentech, Carnegie Mellon university, quantum computing company QuEra, Universal Robots, Amazon Web Services, Doosan Robotics, Danaher, and Hugging Face.<\/p>\n<\/div>\n

#Anthropic #move #physical #universal #standard #bring #scientific #labs #life<\/p>\n","protected":false},"excerpt":{"rendered":"

Imagine a factory where all th… <\/p>\n","protected":false},"author":1,"featured_media":3306,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[428,3776,1254,5998,811,3458,1370,233,5999,2246,6001,5182,6000],"class_list":["post-3305","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-finance-news","tag-anthropic","tag-automation","tag-bring","tag-internet-of-things","tag-labs","tag-life","tag-manufacturing","tag-move","tag-physical","tag-robotics","tag-scientific","tag-standard","tag-universal"],"yoast_head":"\nAnthropic makes first move into physical AI with universal standard that could bring scientific labs to life - Finance News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vaultinsider.top\/?p=3305\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Anthropic makes first move into physical AI with universal standard that could bring scientific labs to life - 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