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Panel debates whether AI research labs can keep pace with AI discoveries

Experts discuss how AI speeds hypothesis generation in biology, materials and neuroscience, but physical testing remains a bottleneck.

Summarized from Imagination in Action, . 35-second read.

This story is from September 27, 2026. For the latest, see today's news.

A panel discussion recorded at the Imagination in Action Silicon Valley AI Summit examines how artificial intelligence is changing scientific discovery. Moderator Vanessa Parli leads a conversation with Joe Betts-LaCroix, Surya Ganguli, Agam Khare, and Rajesh Swaminathan about AI's growing role in proposing molecules, experiments, and research directions across biology, medicine, materials science, and neuroscience.

The panelists explore where AI genuinely accelerates discovery and where bottlenecks remain, such as physical lab testing and clinical trial timelines. They also discuss what qualifies as a credible AI-powered discovery engine, the use of digital twins in studying brain disease, and applications in fusion energy, chip design, and agriculture. The conversation closes with a discussion of dual-use risks and the importance of open science practices as AI tools become more powerful.

Read the full story at Imagination in Action

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