{
  "id": 3856526,
  "title": "Anthropic Previews Standard for AI Control of Physical Devices",
  "url": "https://urgent.news/2026/08/28/anthropic-previews-standard-for-ai-control-of-physical-devices",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-28T00:37:41.000Z",
  "source": {
    "name": "PYMNTS",
    "slug": "pymnts",
    "url": "https://www.pymnts.com/news/artificial-intelligence/2026/anthropic-previews-standard-for-ai-control-of-physical-devices/"
  },
  "original_language": "en",
  "account": "Anthropic has unveiled a research preview of a shared specification, known as the Model Hardware Standard (MHS), which aims to guide artificial intelligence agents in managing physical devices like lab equipment and manufacturing tools. This standard allows agents to perform tasks ranging from routine drug discovery to advanced operations such as quantum computer laser calibration. They can work continuously and recover from hardware errors without human assistance.\n\nAnthropic is initially sharing MHS with partners in sectors like science, robotics, electronics, and manufacturing. After working with these partners to create safety evaluations and best practices for AI systems that control physical equipment, the company plans to make the standard open source. According to Anthropic, MHS has helped reduce the time needed to integrate devices, enable faster iteration in various experimental settings, and assist in real-time fault detection for machines.\n\nPhysical AI, which involves integrating AI with physical devices, is gaining traction as sensing, perception, and large AI models enhance machines' capabilities beyond traditional automation. Companies specializing in this field are attracting investor attention, with venture funding pouring into startups focused on physical AI and vertical AI applications. Anthropic is also supporting scientists by opening 10,000 free and discounted Claude subscriptions for scientists worldwide and expanding its AI for Science program to cover more scientific fields. Anthropic aims to accelerate scientific discovery by making AI more accessible to researchers.",
  "summary": "Anthropic is opening a research preview of a shared specification for artificial intelligence agents to operate physical devices, specifically lab and manufacturing instruments, the company said in a Thursday (Aug. 27) announcement. The Model Hardware Standard (MHS) enables agents to operate instruments such as microscopes, liquid handlers and robotic arms; perform tasks ranging from routine […]…",
  "key_points": [
    "Anthropic unveils Model Hardware Standard (MHS) to guide AI in managing physical devices.",
    "Initial sharing of MHS with partners in science, robotics, electronics, and manufacturing sectors.",
    "MHS helps reduce device integration time and enables real-time fault detection for machines."
  ],
  "editors_take": "Anthropic's Model Hardware Standard enables AI agents to manage physical devices autonomously, reducing integration time and improving fault detection, and will be made open source after partner testing.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}