Yasaman Bahri, a prominent researcher in the field of artificial intelligence, has announced her participation in the newly established Simons Collaboration on the Physics of Learning and Neural Computation. This significant initiative, backed by the Simons Foundation, aims to bridge the gap between theoretical physics, neuroscience, and machine learning to deepen the understanding of intelligence. Bahri expressed her enthusiasm for the project, stating her excitement to contribute to this interdisciplinary effort.
The Simons Foundation has allocated a substantial $40 million over five years to this ambitious collaboration, which brings together leading scientists from diverse fields. The initiative is co-led by Surya Ganguli from Stanford University and Haim Sompolinsky from Harvard University and the Hebrew University of Jerusalem, with a core group of researchers from various institutions. Their collective goal is to develop a theoretical framework for understanding learning and computation in both biological and artificial systems.
Yasaman Bahri's involvement is a key addition to the collaboration, reflecting her expertise at the intersection of deep learning and theoretical neuroscience. Her previous work has focused on understanding the fundamental principles governing the behavior of neural networks and their learning dynamics. Bahri conveyed her personal excitement about the project on social media, stating, > "Very excited to be part of this Simons collaboration on the Physics of Learning & Neural Computation!"
The field of Physics of Learning and Neural Computation seeks to uncover the universal physical laws that govern how intelligent systems acquire knowledge and process information. This includes investigating phenomena such as generalization, memory formation, and the efficiency of learning algorithms. Insights gained from this collaboration are expected to advance both the theoretical understanding of the brain and the development of more sophisticated artificial intelligence.
The Simons Foundation is renowned for its commitment to funding fundamental research in mathematics and the basic sciences, often supporting large-scale, collaborative projects that transcend traditional disciplinary boundaries. This new collaboration aligns with the foundation's mission to foster breakthroughs in complex scientific areas. The multi-institutional effort is poised to generate significant advancements in the understanding of intelligence across its diverse manifestations.