NVIDIA AI Podcast AI for Science | GTC Live Washington, D.C. Chapter 4
37 snips
Nov 11, 2025 
In this discussion, Matt Kinzela, CEO of Inflection, outlines the integration of quantum technologies with classical systems. George Church, a leading figure in genomics at Lila Sciences, delves into how AI can drive experimentation in synthetic biology. Anirud Devgon from Cadence shares insights on AI's transformative role in chip and system design. Mark Tessier-Levine of Zyra Therapeutics explores AI's potential to revolutionize drug discovery timelines and molecular design, suggesting that AI could change the very nature of biological engineering.
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Science Moves At Compute Speed
- Science now moves at the speed of compute rather than just experiment.
- AI and accelerated compute are reshaping modeling from atoms to atmosphere.
Hybrid Quantum–Classical Is Necessary
- Quantum and classical computing must work together to be useful.
- Hybrid quantum–GPU approaches can solve hard problems sooner than pure quantum alone.
Use AI To Scale Chip Design
- Combine computer science, math, and physics to design chips and systems.
- Use AI to provide 10x productivity gains as complexity and chip size grow.