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Anthropic's Model Hardware Standard (MHS) addresses a critical bottleneck in scientific automation by standardizing hardware interfaces, allowing AI agents to control diverse physical instruments like microscopes and robotic arms with minimal integration time. This specification enables autonomous workflows for complex tasks such as drug discovery and quantum computer calibration, reducing setup from weeks to minutes while prioritizing safety evaluations before open sourcing. By decoupling device drivers from specific operating systems, MHS facilitates the scalable deployment of AI agents in physical research environments without requiring bespoke connections for each new instrument.
Anthropic model allows AI agents to control physical devices

The technology is designed to support tasks ranging from routine drug discovery experiments, to laser calibration on quantum computers. (Image source: iStock) Anthropic has opened a research preview of a new Model Hardware Standard (MHS), a specification designed to allow artificial intelligence (AI) agents to safely operate and coordinate physical devices used in scientific research and manufacturing. The AI company says MHS is being made available initially to a group of scientific research laboratories and advanced manufacturers, as it…
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