Virtual Content Schedule
Start (PDT) | End (PDT) | Host | Topic |
Thursday, July 20th | |||
8:00 | 8:15 | Mike Davies (Intel) | Welcome to the Summer 2023 INRC Workshop News, major progress, and highlights of what’s ahead. |
8:15 | 9:00 | Mathis Richter (Intel) | Build Neuromorphic Apps with Lava Learn how to use Lava, progress, and roadmap. |
9:00 | 10:15 | Sumedh Risbud (Intel) Ahsan Javed Awan (Ericsson) | Constrained Optimization with Lava Understand the value, research progress, and latest capabilities of Lava-Optimization. |
10:15 | 10:30 | Coffee Break | |
10:30 | 10:50 | Online Continual Learning on Loihi 2 | |
10:50 | 11:15 | Sumit Bam Shrestha (Intel) | Deep Learning Applications for Loihi 2 |
11:15 | 11:30 | Shay Snyder (George Mason University) | Applications of Neuromorphic Bayesian Optimization in Lava-DL |
11:30 | 11:50 | Jonathan Timcheck (Intel) | Dynamic Noise Suppression with Loihi 2 Results from the Intel N-DNS Challenge |
11:50 | 12:05 | Tobias Fischer (Queensland University of Technology) | Advancing Scalability and Accuracy in Spiking Neural Networks for Enhanced Place Recognition |
Friday, July 21st | |||
6:45 | 7:50 | Philipp Stratmann (Deactivated) (Intel) Ed Lawson (US Naval Research Lab) Ashish Rao Mangalore (Deactivated) (Intel) Akshit Saradagi (Lulea) Pablo Lanillos (Donders) Alpha Renner (ETH Zurich) | Neuromorphic Robotics with Loihi 2 |
7:50 | 8:50 | E Paxon Frady (Deactivated) (Intel) | Lava Algebraic Vector Abstractions for Loihi 2 |
8:50 | 9:00 | Coffee Break | |
9:00 | 9:30 | Jason Eshraghian (UC Santa Cruz) Sumit Bam Shrestha(Intel) | Towards SpikeGPT on Loihi 2 |
9:30 | 10:00 | Yulia Sandamirskaya (ZHAW & Intel) | Special Guest Talk |
10:00 | 10:30 | Alexander Ororbia (RIT) | Self-Supervised Learning for Spiking Neural Networks: Predictive Coding and Forward-Only Learning |
10:30 | 11:00 | Anand Subramoney (RHU London) | Beyond Weights: Deep learning in SNNs with Pure Synaptic-Delay Training |
11:00 | 11:15 | Matthias Jobst (TU Dresden) | Large Language Models for Neuromorphic Hardware |
11:15 | 12:00 | Joe Hays & Team (US Naval Research Lab) | A Case for Continual Learning |
12:00 | 12:20 | Elvin Hajizada (Intel) | Continual Learning Prototype Classifier for Image Classification |