Project Grant 2223811

This $2 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities will fund research at Cornell University from October 2022 through September 2026 under the federal Engineering program (CFDA 47.041). The grant aims to advance neuromorphic computing by developing algorithms and computational models inspired by biological neural circuits. Researchers will extract principles from neuroscience to design a neural network architecture called SAPINET for signal processing applications. Additional work will identify core computational motifs and develop analysis techniques for neuromorphic systems. Researchers at Georgia Tech will collaborate on developing integrated circuits and AI algorithms modeled on biological neural mechanisms. The overall goal is to create locally intelligent and energy-efficient edge devices capable of resilient autonomous task performance under real-world conditions.