AlphaFold: Grand challenge to Nobel Prize | John Jumper

Google DeepMind · Advanced ·📰 AI News & Updates ·5mo ago
Five years ago, AlphaFold 2 solved the protein structure prediction problem, unlocking new avenues of biological research and providing our first major proof point that AI can be a powerful tool to advance science and cure disease. The profound scientific and societal value of this work was even recognized in 2024 with the Nobel Prize in Chemistry. In this episode, Hannah is joined by John Jumper, one of the most instrumental scientists behind AlphaFold. He shares stories about his Nobel win, the tool's unexpected applications, and the shift in architecture from AlphaFold 2 to the more comprehensive AlphaFold 3. Learn more about AlphaFold: https://deepmind.google/science/alphafold/ Watch the story behind AlphaFold on the Thinking Game, now available for free: https://youtu.be/d95J8yzvjbQ ___ Timecodes 00:00 Intro 02:06 The Nobel Prize call 06:35 The "Grand Challenge" breakthrough 09:42 Reactions from the community 12:48 Unexpected use cases 16:04 AlphaFold 3 and diffusion models 26:54 Roman aqueducts 33:46 Designing new proteins 40:40 Does AI think? 46:51 Hannah's reflections ___ Thank you to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Audio engineer: Richard Courtice Video editor: Anthony Le Audio engineer: Perry Rogantin Visual identity: Rob Ashley Commissioned by Google DeepMind ___ Subscribe to our channel https://www.youtube.com/@googledeepmind Find us on X https://twitter.com/GoogleDeepMind Follow us on Instagram https://instagram.com/googledeepmind Add us on Linkedin https://www.linkedin.com/company/deepmind/
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2 RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
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3 RL Course by David Silver - Lecture 2: Markov Decision Process
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9 RL Course by David Silver - Lecture 7: Policy Gradient Methods
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10 Google DeepMind: Ground-breaking AlphaGo masters the game of Go
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11 Match 1 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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12 Match 2 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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13 Match 1 15 min Summary - Google DeepMind Challenge Match
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14 Match 3 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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15 Match 2 15 Minute Summary - Google DeepMind Challenge Match 2016
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16 Match 3 15 Minute Summary - Google DeepMind Challenge Match 2016
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17 Match 4 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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18 Match 4 15 Minute Summary - Google DeepMind Challenge Match 2016
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19 Match 5 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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20 Match 5 15 Minute Summary - Google DeepMind Challenge Match 2016
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21 DQN SPACE INVADERS
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22 DQN Breakout
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23 Asynchronous Methods for Deep Reinforcement Learning: Labyrinth
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24 Asynchronous Methods for Deep Reinforcement Learning: MuJoCo
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25 Asynchronous Methods for Deep Reinforcement Learning: TORCS
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26 Differentiable neural computer family tree inference task
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27 StarCraft II DeepMind feature layer API
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28 DeepMind Health – Partnership with the Royal Free London NHS Foundation Trust
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29 DeepMind Health – Michael Wise – a patient's journey
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30 Streams – a platform for a digital NHS
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31 DeepMind Lab - Nav Maze Level 1
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32 DeepMind Lab - Stairway to Melon Level
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33 DeepMind Lab - Laser Tag Space Bounce Level (Hard)
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34 Exploring the mysteries of Go with AlphaGo and China's top players
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35 Demis Hassabis on AlphaGo: its legacy and the 'Future of Go Summit' in Wuzhen, China
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36 The Future of Go Summit: AlphaGo & Ke Jie match 1 moves analysis
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37 The Future of Go Summit: AlphaGo & Ke Jie match 2 moves analysis
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38 The Future of Go Summit: Pair Go moves analysis
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39 The Future of Go Summit: AlphaGo & Ke Jie match 3 moves analysis
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40 Emergence of Locomotion Behaviours in Rich Environments
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41 StarCraft II 'mini games' for AI research
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42 Trained and untrained agents play StarCraft II full 1vs1 game
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43 DeepMind open source PySC2 toolset for Starcraft II
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44 ICML 2017: Test of Time Award (Sylvain Gelly & David Silver)
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45 Ke Jie and DeepMind's Go Ambassador Fan Hui review the 3rd AlphaGo vs Ke Jie game
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46 Ke Jie and DeepMind's Go Ambassador Fan Hui review the 1st AlphaGo vs Ke Jie game
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47 Ke Jie and DeepMind's Go Ambassador Fan Hui review the 2nd AlphaGo vs Ke Jie game
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48 AlphaGo Zero: Discovering new knowledge
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49 AlphaGo Zero: Starting from scratch
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50 Defining principles for tech companies in the NHS: DeepMind Health's Collaborative Listening Summit
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57 Deep Learning 5: Optimization for Machine Learning
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Chapters (10)

Intro
2:06 The Nobel Prize call
6:35 The "Grand Challenge" breakthrough
9:42 Reactions from the community
12:48 Unexpected use cases
16:04 AlphaFold 3 and diffusion models
26:54 Roman aqueducts
33:46 Designing new proteins
40:40 Does AI think?
46:51 Hannah's reflections
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