Project Grant 2403723

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, award ID 2403723, provides $500,000.00 to Cornell University to develop novel algorithms and hardware designs for energy-efficient, memory-optimized spiking neural network (SNN) systems on edge computing devices. The project aims to advance the practical deployment of neuromorphic computing for applications like drones, autonomous robots, portable medical devices, and wearable assistants. Key innovations include new SNN architectures with shared computations and compression techniques to enhance efficiency on resource-constrained platforms. The project will involve algorithm development, hardware prototyping, and system-level tradeoff analysis, providing opportunities for student training and promoting diversity in AI and semiconductor fields. This award reflects NSF's mission to support foundational research and technology development to enable sustainable AI and intelligent systems. No subawards are planned for this project.