Princeton University PCTS Workshop
The Physics of John Hopfield
Organizers:
Princeton University: B. Andrei Bernevig, Miguel Goncalves, Biao Lian, Felipe Mendez Valderrama, Sanfeng Wu
University of Washington: Xiaodong Xu
University of Wuerzburg: Giorgio Sangiovanni
Registration is free, but required, and you must be a current faculty member, researcher, or graduate student at an accredited institution to register and attend in person.
We are accepting posters for this workshop. Register here and find more details online.
Description: John Hopfield was awarded the 2024 Nobel Prize in Physics “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” This recognition presents a unique opportunity to revisit Hopfield’s signature question:
To explore this question, we are convening a two-part event that brings together a diverse community of researchers whose work spans Hopfield's wide-ranging interests.
November 12 and 13: The first two days will feature a workshop titled The Physics of John Hopfield: Learning and Intelligence, focusing on recent developments at the intersection of AI, physics, cognitive science, and learning.
November 14: The final day will be a symposium titled The Physics of John Hopfield: Life and Matter, exploring Hopfield’s broader contributions beyond AI and learning—from solid state physics to molecular biology and neuroscience—and the recent work they continue to inspire.
Participants are encouraged to register for one or both events using the link below.
The Learning and Intelligence workshop will include a poster session. The deadline for poster submissions is October 15, and selected authors will be notified thereafter.
Please register on line for one or both events using the registration form.