Many More is Different - Scalable Learning in Physical Systems

Explore the concept of "Many More is Different" in this thought-provoking lecture by Andrea Liu from the University of Pennsylvania. Delve into the world of condensed matter physics and discover how systems with larger scales can exhibit fundamentally different properties. Examine the capabilities of artificial neural networks and brains as they grow in size, and learn about the energy efficiency of biological learning systems. Uncover a novel approach to learning that leverages physics principles, allowing for scalable learning with minimal energy costs. Gain insights into how this innovative method has been implemented in laboratory settings, opening up new avenues for studying complex systems. Investigate the potential implications of this paradigm shift in understanding how "many more is different" across various scientific disciplines.