Technical Program

Paper Detail

Note: All times are in Pacific Daylight Time (UTC -7)
Paper: G-5.3
Paper Title:  Training-aware Low Precision Quantization in Spiking Neural Networks
Authors:  Ayan Shymyrbay, Ahmed Eltawil, King Abdullah University of Science and Technology, Saudi Arabia; Mohammed Fouda, University of California Irvine, United States
Session: Recent Advances in Neuromorphic Computing (invited)
Location: Virtual G
Presentation Time: Wednesday, November 2, 08:00 - 09:00
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Virtual
Topic:  Architectures and Implementation: Invited Session: Recent Advances in Neuromorphic Computing