Isomorphic Labs

What is the promise of new discoveries for scientists and creators? Explore the transformative potential of Generative AI for the future of scientific discoveries and creativity in this engaging panel. Panelists will share insights on how GenAI is reshaping innovation across disciplines, from accelerating scientific breakthroughs to empowering new forms of artistic expression. 🌌 Carlo Rovelli, world-renowned theoretical physicist and bestselling author, will take you on a journey through the mysteries of space, time, and quantum theory. His pioneering work on loop quantum gravity and philosophical musings on science will reshape how you perceive the universe. 🧠 Surya Ganguli, professor at Stanford and venture partner at a16z, explores the intricate connections between biological and artificial neural networks. With his groundbreaking research spanning neuroscience, physics, and AI, Surya is revolutionizing our understanding of both human cognition and machine learning. 💊 Max Jaderberg, Chief AI Officer at Isomorphic Labs, is at the forefront of AI-powered drug discovery. His work is accelerating biomedical breakthroughs, transforming healthcare through digital biology, and driving innovation in AI applications that hold the potential to change lives. 🎨 Steven Johnson, acclaimed author of Where Good Ideas Come From and How We Got to Now, will explore the intersection of history, creativity, and innovation. Steven’s insights into how scientific ideas and creative moments collide will offer a unique perspective on the dynamics of discovery and invention. 🎟 Join them at TED AI San Francisco to discover the promise GenAI holds for both scientists and creators alike. https://lnkd.in/eU9Z8Xxu #TEDAI #ScienceAndCreativity #AIInnovation #FutureOfScience #QuantumPhysics

Here to deliver the final #keynote is Sergei Yakneen, Chief Technology Officer, Isomorphic Labs. Isomorphic Labs' CEO Demis Hassabis recently received The Nobel Prize in 🧪 #Chemistry for his work on developing #AlphaFold, a groundbreaking #AI system that predicts the 3D structure of proteins from their amino acid sequences ⚗️ 🎉 #Congratulations to the team on this monumental award 👏 #TechBio #TechBioUK #Biotech

Day 1 Speaker Announcement: Max Jaderberg, Chief AI Officer at Isomorphic Labs⤵️ We are pleased to announce that Max Jaderberg, Chief AI Officer at Isomorphic Labs, will be speaking at TEDAI 2024. Max is at the forefront of transforming drug discovery using machine learning, including the application of AlphaFold, the groundbreaking AI model that predicts protein structures. Isomorphic Labs, a digital biology company founded in 2021, aims to redefine drug discovery by harnessing the power of artificial intelligence. Built upon the work of DeepMind (now Google DeepMind), Isomorphic Labs accelerates the discovery process through cutting-edge AI techniques that Max and his team are pioneering. Before leading Isomorphic Labs, Max played a pivotal role at GoogleDeepMind as the head of the Open-Ended Learning research team. His work combined large-scale deep learning, reinforcement learning, and generative models, driving breakthrough achievements such as AlphaStar, Capture the Flag, and Spatial Transformer Networks. Max's journey in AI began when he co-founded Vision Factory, a company specializing in deep learning for image recognition, which was later acquired by Google. Max’s academic background includes a PhD from the University of Oxford, where he developed deep learning algorithms for image understanding. His research is widely published, with articles appearing in Nature, Science, and other leading journals. Max and the team at Isomorphic Labs are pushing the boundaries of digital biology, merging machine learning with computational biology to unlock new possibilities in biomedical research and healthcare. We look forward to hearing Max share his insights and vision for the future of AI-driven drug discovery at TEDAI 2024. 👉 Register today to be part of the discussion: https://lnkd.in/gh6KzX8B #AI #DrugDiscovery #BiomedicalResearch #DigitalBiology #DeepLearning #MachineLearning #GoogleDeepMind #TEDAI2024 #Google