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Speakers

Andreas Wild (Intel)

Danielle Rager (Deactivated) (Intel)

Elvin Hajizada (Intel)

Joe Hays (US Naval Research Lab)

Description

Online Continual Learning for Loihi 2 (Intel)

10:30 PT / 13:30 ET / 19:30 CET
Thursday, July 20th, 2023

Understand how local, online learning as supported by Intel Loihi 2 works, what kinds of applications might take advantage of it, and how to use online learning rules in Lava.

OnChip Learning Intro.mp4

INRC Members and Affiliates:Check out Danielle Rager’s Loihi 2 Learning Deep Dive

/wiki/spaces/INRC/pages/1968373766

A Case for Continual Learning (US Naval Research Lab)

11:15 PT / 14:15 ET / 20:15 CET
Friday, July 21st, 2023

Tune into this INRC special guest talk by NRL to understand WHY and HOW to use continual learning, with connections to robotic and space applications. This effort leads into research on differentiable plasticity, a breakthrough feature enabling the combination of fast GPU-based model training with flexible Loihi-based online learning. To support differentiable plasticity, NRL researchers will discuss their work to close the gaps between plasticity simulations in Lava and their on-chip counterparts.

Continual Learning Prototype Classifier for Image Classification (Intel)

12:00 PT / 15:00 ET / 21:00 CET
Friday, July 21st, 2023

Explore the first end-to-end continual learning example application in Lava.