The future of generative AI for scientific discovery | Microsoft Research

Most of us think of generative AI in the context of text or image generation, but it’s also a powerful tool for scientific discovery. In this episode, Susan Etlinger speaks with Ade Famoti, a senior leader on the Microsoft Research Accelerator team, about what he calls “AI’s physics moment,” and why he believes generative AI feels fundamentally different from past platform shifts. Ade shares examples of the work Microsoft Research is doing to uncover the opportunities of generative AI for materials discovery—to improve energy efficiency and carbon capture, and for drug discovery, to fight disease. Ade also highlights the role of culture in building trust, informing priorities and driving adoption of emerging technologies.

Guest: ⁠Ade Famoti⁠ | ⁠Microsoft Research⁠

Learn more about ⁠AI and Materials Discovery⁠.

Learn more about ⁠AI for Science⁠.

Learn more about ⁠inorganic materials design⁠.

Host: ⁠⁠Susan Etlinger⁠⁠

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The Leading the Shift podcast is a place for experts to share their insights and opinions. As students of the future of technology, Microsoft values inputs from a diverse set of voices. That said, the opinions and findings of our guests are their own and they may not necessarily reflect Microsoft's own research or positions.