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A two-day gathering at the crossroads of statistical physics, neural networks, and high-dimensional inference. Led by Nobel Laureate Giorgio Parisi and bringing together leading scientists from around the world, the conference explores the surprising and elegant connections between the statistical physics of complex systems and the theory of modern neural networks. From the classic landscapes of spin glasses to the ever-evolving frontiers of deep learning, the field continues to reshape how we think about learning, memory, and generalization. By weaving together ideas from physics, computer science, and neuroscience, A Journey from Spin Glasses to Neural Networks invites fresh perspectives on statistical mechanics for intelligent computing. We are on the cutting edge of innovative new technologies, charting a path from the disordered world of spin glasses to the collective intelligence of contemporary neural architectures. For more information, please click: https://www.chaspark.com/#/s/spinglas...