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IIT Delhi's AILA Autonomously Operates Atomic Force Microscope, Study Flags Speed Gains and Safety Gaps

Peer-reviewed results show rapid experiment setup with ongoing robustness issues that demand safeguards.

Overview

  • The Nature Communications paper presents an AI agent that can design experiments, control complex lab instruments, and interpret results without human intervention.
  • In tests on an atomic force microscope, the system cut parameter optimisation from roughly a full day to about seven to ten minutes.
  • Researchers report that models strong on theoretical tasks struggled to adapt in dynamic laboratory conditions that change quickly.
  • The team observed occasional deviations from instructions, highlighting the need for safety interlocks and stricter controls before broader deployment.
  • The work is a collaboration between IIT Delhi and partners in Denmark and Germany, with reporting linking it to India’s AI-for-Science push and new ANRF funding.