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.Google DeepMind’s AI system AlphaFold can predict proteins’ 3D shapes—revolutionizing the field of biology, helping scientists solve society’s biggest challenges, and earning its co-creators @DemisHassabis and John Jumper a Nobel prize. Learn more here:

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Here’s the moment some of the #AlphaFold team found out Demis Hassabis and John Jumper were co-awarded the Nobel Prize.🥇 ↓
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Here’s the moment some of the #AlphaFold team found out Demis Hassabis and John Jumper were co-awarded the Nobel Prize.🥇 ↓

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Our Distinguished Scientist John Jumper dropped out of his first PhD, but it led him to AI and biology – and a new doctorate along the way. 🧪 He shares his journey from helping develop #AlphaFold and being awarded the The Nobel Prize to accelerating science with AI – all on our podcast ↓ 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 outro
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Our Distinguished Scientist John Jumper dropped out of his first PhD, but it led him to AI and biology – and a new doctorate along the way. 🧪 He shares his journey from helping develop #AlphaFold and being awarded the The Nobel Prize to accelerating science with AI – all on our podcast ↓ 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 outro

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Nobel Laureate, John Jumper: AlphaFold is now a foundational pillar of modern biology, akin to DNA sequencing It's has already accelerated the entire field of structural biology by 5 or 10 percent In 20 years, almost everyone with modern healthcare will benefit from something shaped by AlphaFold
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Nobel Laureate, John Jumper: AlphaFold is now a foundational pillar of modern biology, akin to DNA sequencing It's has already accelerated the entire field of structural biology by 5 or 10 percent In 20 years, almost everyone with modern healthcare will benefit from something shaped by AlphaFold

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Nobel laureate John Jumper (John Jumper) on AlphaFold and the future of science. At AI Startup School in San Francisco. 01:02 - Journey from Physics to Computational Biology 02:01 - Transition to Machine Learning and AI 02:59 - Joining Google DeepMind 03:47 - The Mission: Accelerating Scientific Discovery 04:54 - Understanding Protein Structures 07:44 - Challenges in Protein Structure Determination 11:21 - The Role of Data, Compute, and Research 13:28 - AlphaFold: A Breakthrough in Protein Prediction 14:09 - The Importance of Research and Ideas 17:48 - Real-World Applications and Impact 18:02 - Open Sourcing AlphaFold 21:07 - Unexpected Uses and Innovations 23:15 - Case Study: Molecular Syringe 25:28 - Future of AI in Science
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Nobel laureate John Jumper (John Jumper) on AlphaFold and the future of science. At AI Startup School in San Francisco. 01:02 - Journey from Physics to Computational Biology 02:01 - Transition to Machine Learning and AI 02:59 - Joining Google DeepMind 03:47 - The Mission: Accelerating Scientific Discovery 04:54 - Understanding Protein Structures 07:44 - Challenges in Protein Structure Determination 11:21 - The Role of Data, Compute, and Research 13:28 - AlphaFold: A Breakthrough in Protein Prediction 14:09 - The Importance of Research and Ideas 17:48 - Real-World Applications and Impact 18:02 - Open Sourcing AlphaFold 21:07 - Unexpected Uses and Innovations 23:15 - Case Study: Molecular Syringe 25:28 - Future of AI in Science

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"That got me hooked on computers and AI for the rest of my life." 2024 chemistry laureate Demis Hassabis describes how playing chess competitively at the age of four led him to becoming an AI programmer. From there he went on to solve big problems in biology, developing an AI model to predict the structure of virtually all known proteins. Watch his full Nobel Prize lecture:

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“In the next 10 years we are going to be entering what I feel like is a new renaissance.” Nobel Prize laureate Demis Hassabis was awarded the Nobel Prize for using AI to predict the structure of proteins. For him, AI is a tool that will help scientists make even more discoveries in the years to come. Hassabis took part in our Nobel Prize Dialogue ‘The Future of Science With AI’ which discussed how AI might transform science in the future. Watch the full event at

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He just been jointly awarded the Nobel prize for chemistry, Google DeepMind CEO Demis Hassabis’s company has developed AI which can predict the structure of proteins, it could have a big effect on healthcare. Earlier this year I spoke to him about AI’s future.
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I love this AI's impact: What used to take a PhD lifetime now happens in months. AlphaFold, Nobel Prize winner, is helping biologists discover new drugs. Google has mapped 300M proteins in months & made it open to all.
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“Once the platform works, biology becomes programmable.” Demis Hassabis, CEO of Google DeepMind, says AI drug discovery won’t progress gradually. It will look more like AlphaFold, years of quiet infrastructure work, then a sudden leap where the system can scale across entire disease areas.

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Engineering Protein Assemblies: Envisioning the future workbench for integrating structural biology and engineering #Science #Engineering #Technology #STEM #STEAM Learn more about the proteins here:
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