11:00-11:25 AM - “Efficient Hardware Implementation of Cellular Neural Networks with Powers-of-Two Based Incremental Quantization” -- Xiaowei Xu, Qing Lu, Tianchen Wang, Jinglan Liu, Yu Hu and Yiyu Shi
11:25-11:50 AM - “A Multi-Level Optimization Framework for Efficient FPGA-Based Cellular Neural Network Implementation” -- Zhongyang Liu, Shaoheng Luo, Xiaowei Xu, Yiyu Shi and Cheng Zhuo
12:05-1:30 PM - Working Lunch - Keynote: “Nexus of Machine Learning, Neuromorphic Computing, High Performance Computing, and the Million Veteran Program (MVP)” - Dimitri Kusnezov
1:55-2:20 PM - “Neuromorphic Data Microscope” -- John Naegle, David Follett, Conrad James, Brad Aimone, Roger Suppona, Duncan Townsend and Gabe Karpman
2:20-2:45 PM - “Community detection with spiking neural networks for neuromorphic hardware” - Kathleen Hamilton, Neena Imam and Travis Humble
10:30-10:55 AM - “Improving Neuromorphic Computing Efficiency with Sparse and Light Neural Networks” – Yiran Chen
10:55-11:20 AM - “From Meta-Stable Switch Collections to Compositional Machine Learning” – Alex Nugent and Tim Molter
11:20-11:45 AM - “Spatio-Temporal Features on an Energy Budget: Transfer Learning with Deep CNNs and Reservoirs” -- Dillon Graham, Seyed Hamed F. Longroudi, Christopher Kanan, Dhireesha Kudithipudi
11:45 AM-12:00 PM - “From Topological Skyrmion to Biological Spike: Developing All-Skyrmion Spiking Neural Network” – Zhezhi He and Deliang Fan
3:00-3:25 PM - “When Energy Efficient Spike-Based Temporal Encoding Meets Resistive Crossbar: From Circuit Design to Application” -- Chenyuan Zhao, Jialing Li, Hongyu An, and Yang Yi
