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Anthropic's Model Hardware Standard (MHS) establishes a unified interface enabling AI agents to safely coordinate diverse scientific instruments like microscopes and robotic arms. By standardizing hardware drivers into simple read/write primitives, this specification drastically reduces the integration time for autonomous lab workflows from weeks to minutes. This development marks a significant step toward scalable, self-correcting AI operations in physical research environments without requiring bespoke connections for every device.
Anthropic model allows AI agents to control 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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