The Department of Energy (DOE) Office of Science awarded a $1,050,000 Project Grant under the Office of Science Financial Assistance Program (CFDA 81.049) to The Regents of the University of California, San Francisco (UCSF) for the project "FLEXIBLE BRAIN-INSPIRED HYBRID ANALOG-SPIKING NEURONAL NETWORK COMPUTATION IN ENERGY EFFICIENT NEUROMORPHIC HARDWARE." The grant, with a performance period from September 1, 2024 to August 31, 2025, will fund research to develop energy-efficient neuromorphic hardware and flexible brain-inspired computing approaches. As a leading academic medical center and research institution, UCSF will leverage its expertise in neuroscience, computing, and energy-efficient systems to advance the state-of-the-art in hybrid analog-spiking neuronal network computation. The project aims to deliver innovative computational hardware and algorithms inspired by biological neural networks to enable more efficient and flexible brain-like information processing.
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