Speakers | Andreas Wild (Intel) Danielle Rager (Deactivated) (Intel) Elvin Hajizada (Intel) Joe Hays (US Naval Research Lab) |
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Description | Online Continual Learning for Loihi 2 (Intel) 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. A Case for Continual Learning (US Naval Research Lab) 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) Explore the first end-to-end continual learning example application in Lava. |
Schedule | 10:30 PT / 13:30 ET / 19:30 CET 11:15 PT / 14:15 ET / 20:15 CET |
Recording | |
Link to Presentation | Not Yet Available |
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