Share
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the lates ...
…
continue reading
Manage episode 494591921 series 3022334
Content provided by Y Combinator. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Y Combinator or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
John Jumper on June 16, 2025 at AI Startup School in San Francisco.
John Jumper is a physicist-turned-computational biologist who led DeepMind’s AlphaFold team—and earned the 2024 Nobel Prize in Chemistry for solving protein folding, a decades-old scientific challenge.
In this talk, he shares how a deep learning breakthrough at CASP14 turned into AlphaFold 1 and then AlphaFold 2, delivering atomic accuracy predictions and revolutionizing biology. He explains the scientific puzzle behind protein folding, the key algorithmic breakthroughs, and the impact of making millions of protein structures accessible to researchers worldwide.
291 episodes
))
