Lab. Information, Learning and Physics At IdePHICS, we study problems from computer science, machine learning, statistics and signal processing using many mathematical tools and in particular using ideas from theoretical statistical physics. EPFL joins global Simons quest to unlock the science behind AI20.08.25EPFLEPFL professors Lenka Zdeborová, Florent Krzakala, and Matthieu Wyart are taking part in a major new international collaboration to uncover the fundamental principles behind artificial intelligence, thanks to a prestigious grant from the Simons Foundation. The project to unlock the scientific foundations of machine learning and help guide the future of AI.Three SNSF Advanced Grants awarded to EPFL researchers16.01.25ResearchThe Swiss National Science Foundation (SNSF) has awarded three "SNSF Advanced Grants" to EPFL researchers, including Florent Krzakala in the School of Engineering.Navigating the labyrinth: How AI tackles complex data sampling09.07.24ResearchResearchers at EPFL have made a breakthrough in understanding how neural network-based generative models perform against traditional data sampling techniques in complex systems, unveiling both challenges and opportunities for AI's future in data generation.
