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SUMMARY:Professor Jason Eshraghian - Neuromorphic LLMs
DTSTART:20260310T111500
DTEND:20260310T121500
DTSTAMP:20260525T121006Z
UID:f3684a93ea477d6832f821a5f2492cebb13c1e95b26d8b7ac8b2628f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Professor Jason Eshraghian - UCSC Neuromorphic Computing Grou
 p\nThis talk explores the collision between neuromorphic computing and lar
 ge language models. I will walk through our lab's journey building frontie
 r reasoning LLMs\, from software to neuromorphic hardware\, covering the w
 ins\, the losses\, and everything in between. The path runs through spikin
 g LLMs (SpikeGPT)\, MatMul-free LLMs on Loihi 2\, and culminates in our la
 tent reasoning model\, Ouro\, trained end-to-end on a full production pipe
 line spanning data curation\, pre-training\, post-training\, and alignment
 . At roughly 2 billion parameters\, Ouro outperforms every leading model f
 rom Meta\, Google\, and the rest of the over-resourced crowd in the ~10B r
 egime\, punching about 5x above its weight. We've deployed several of thes
 e models on neuromorphic hardware at 2 watts\, bringing state-of-the-art r
 easoning from the datacenter to the edge. \n\nhttps://epfl.zoom.us/j/6594
 3181051?pwd=6LnQmob0J7jsf4rgXsjx9voDTSeyLR.1\n\nID: 659 4318 1051\nCode : 
 432884\n 
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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