AI agents gain physical lab grounding in autonomous wet-lab research
Google Research reports VERID, a digital twin for wet labs, plus closed-loop aptamer and protein binder design where agents run and refine experiments.
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Google Research described three projects linking AI agents to physical wet-lab work: VERID, a 3D digital twin of a lab workcell that simulates and validates robot protocols; a closed-loop aptamer design campaign over three cycles; and an agent-guided pipeline yielding single-digit nanomolar protein binders for a cancer target.
AI agents gain physical lab grounding in autonomous wet-lab research ↗Google Research reports VERID, a digital twin for wet labs, plus closed-loop aptamer and protein binder design where agents run and refine experiments.
Google Research reports evaluations of a geospatial agent combining Earth AI models with upfront planning and expands experimental access via Earth and an A2A API.
Google Research reports five partner-led studies testing its Population Dynamics Foundation Model embeddings on vaccination, disease and outbreak tasks.