Project Grant 2333881

This $250,000 Project Grant award from the National Science Foundation's Engineering (CFDA 47.041) program to The Pennsylvania State University (Penn State) supports a collaborative research project on "Spintronics Enabled Stochastic Spiking Neural Networks with Temporal Information Encoding". The goal is to advance neuromorphic computing architectures that can achieve brain-scale efficiency for complex machine learning through a multi-disciplinary approach spanning device physics, circuits, systems, and algorithms. The 3-year project will investigate spin-based device primitives, stochastic neuromorphic computing systems that exploit temporal encoding, and hardware-algorithm co-design to improve classification performance and efficiency. No sub-awards are planned under this grant. The work aims to enable a new generation of brain-inspired computing platforms that leverage insights from computational neuroscience.