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) |
9:15
9:40
Ahsan Javed Awan (Ericsson) |
Neuromorphic Optimizers in Telecommunication Networks
9:40
10:00
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 |
(Intel) | |||
10:50 | 11:15 | Sumit Bam Shrestha (Intel) | |
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 | Lava Algebraic Vector Abstractions for Loihi 2 | |
8:50 | 9:00 | Coffee Break | |
9:00 | 9: |
35 | Jonathan Timcheck (Intel) Jason Eshraghian (UC Santa Cruz) Sumit Bam Shrestha(Intel) | Towards SpikeGPT on Loihi 2 |
9: |
35 | 10:00 |
Yulia Sandamirskaya (ZHAW & Intel) | Neuromorphic Computing Frameworks for Robotics | |
10:00 | 10:30 | Alexander Ororbia (RIT) |
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 |