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Robust Training of Spiking Neural Networks via Generative AI
TS-073717 — Spiking Neural Networks (SNNs) promise ultra-low-power, low-latency AI for edge and neuromorphic computing, but their adoption is constrained by fundamental training challenges. SNN performance is highly sensitive to how training data are collected (e.g., lighting, sensor settings, noise), leading…
  • College: College of Engineering (COE)
  • Inventors: Baietto, Anthony; Stewart, Christopher
  • Licensing Officer: Randhawa, Davinder

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