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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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Argonne Uses AI Agents to Get Closer to Self-Driving Microscopes
AIwire1 min de cititArticolul și perspectiva sunt în engleză.
Argonne Uses AI Agents to Get Closer to Self-Driving Microscopes HPCwire
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