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Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery.
Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Steinegger, Associate Professor at Seoul National University and co-author of the Nobel Prize-winning AlphaFold paper, join the podcast to discuss homology retrieval, protein design, and how MMseqs2-GPU inverted the traditional 80/20 compute bottleneck in protein structure prediction, enabling faster drug discovery and biological research.
Learn more at ai-podcast.nvidia.com.
By NVIDIA4.4
334334 ratings
Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery.
Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Steinegger, Associate Professor at Seoul National University and co-author of the Nobel Prize-winning AlphaFold paper, join the podcast to discuss homology retrieval, protein design, and how MMseqs2-GPU inverted the traditional 80/20 compute bottleneck in protein structure prediction, enabling faster drug discovery and biological research.
Learn more at ai-podcast.nvidia.com.

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