The National Science Foundation (NSF) awarded a $390,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of Michigan to develop highly efficient bio-inspired edge computing systems. The research aims to leverage internal device and network dynamics to autonomously process spatiotemporal data with high performance, energy efficiency, and reliability. Key objectives include developing short-term memory memristor and 2nd-order memristor devices to directly process temporal inputs and achieve self-learning. The project also plans to create new network architectures, such as reservoir node networks and neuromorphic retina networks, to efficiently process asynchronous inputs from neuromorphic sensors. This research is expected to broadly impact areas including neuromorphic computing, AI, and brain-machine interfaces. Additionally, the project includes integrating the research with educational initiatives, such as collaborating with local high schools and training undergraduate and graduate students. The project period is from July 1, 2024 to June 30, 2027.
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