Dr. Yang Yi, Assistant Professor in EECS, receives support from the Air Force Research Lab (AFRL) to develop new neuromorphic computing capabilities. This three-year, $600,000 project is to develop novel and fundamental methodologies for data representation using hardware-based spike timing dependent encoding for neuromorphic processors, and build a new class of computationally efficient delay-based reservoirs that meet the requirements of high dimensionality and finite memory. This project will result in an agile analog integrated circuit implementation of a spike-time encoding circuit as a signal conditioner and electronic reservoir as a dynamic processor for the reservoir computing systems. This effort will bridge high-performance computing, nanotechnology, and integrated circuits & systems.
The project’s envisioned architecture will serve as the foundation for unprecedented capabilities in signature analysis and time-series classification with applications that fall within Air Force Research Lab (AFRL) computational intelligence and neuromorphic computing consolidated programs.