The program includes two themed sessions and a poster session focused on Neuromorphic computing.
Neuroscience for AI: how brain insights can inform, augment, or rethink state-of-the-art large language models and related AI systems.
Hardware for Neuromorphic AI: whether conventional, emerging, or hybrid device and circuit technologies are best suited for the next generation of AI.
Each session features invited talks followed by a moderated panel discussion.
Department of Medicine, University of California, San Diego
Helen Wills Neuroscience Institute and School of Optometry, UC Berkeley; Director, Redwood Center for Theoretical Neuroscience.
Bioengineering and of Electrical Engineering, Stanford University
Electrical & Computer Engineering, University of Southern California
Institute of Machine Learning and Neural Computation, Graz University of Technology
Distinguished Member of Technical Staff, Center for Computing Research Sandia National Laboratories
College of AI, Cyber and Computing, University of Texas at San Antonio
John A. Paulson School of Engineering and Applied Sciences , Harvard University
Investigator, D3 Scientific