The podcast features Alastair Beresford introducing Demis, a Cambridge alumnus and Nobel laureate, who delivers a lecture on accelerating scientific discovery with AI. Demis reflects on his journey with AI, starting from his early interest in chess and computer games to his groundbreaking work at DeepMind, including AlphaGo and AlphaFold. He emphasizes the importance of learning systems in AI and their potential to solve complex real-world problems, particularly in biology and medicine, and touches upon the broader implications of AI for science and society, including the development of AGI and the need for responsible AI development. The lecture concludes with a Q&A session, where Demis addresses questions about neuroscience, deep learning, brain-machine interfaces, the economic impact of AI, and the limits of AI modeling.
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