How Physics Made AI Possible, and How It Can Make It More Efficient
Imperial College London via YouTube
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In this 1-hour 8-minute lecture, Professor Will Branford of Imperial College London explores the fundamental physics that enabled artificial intelligence and examines promising pathways toward more sustainable AI computing. Delve into energy-efficient, brain-inspired computing approaches and discover how the field of magnonics offers potential solutions to address the rapidly growing energy demands of artificial intelligence systems. The inaugural professorial lecture provides valuable insights into the intersection of physics and AI, highlighting how physical principles can be leveraged to create more environmentally sustainable computing technologies for the future of artificial intelligence.
Syllabus
How physics made AI possible, and how it can make it more efficient
Taught by
Imperial College London