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Argonne National Laboratory is deploying autonomous AI agents to control microscopy systems, aiming to automate complex experimental workflows and reduce human intervention. This development represents a significant step toward "self-driving" scientific instruments where machine learning models directly orchestrate hardware operations for data collection. By integrating these agents, researchers can accelerate discovery cycles in materials science and biology through fully automated experimentation.
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What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Argonne Uses AI Agents to Get Closer to Self-Driving Microscopes

AIwire1 min read

Argonne Uses AI Agents to Get Closer to Self-Driving Microscopes  HPCwire

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