On-Chip Neuromorphic Backpropagation Algorithm
Established in 1963, the R&D 100 Awards is the only S&T (science and technology) awards competition that recognizes new commercial products, technologies, and materials for their technological significance that are available for sale or license. The R&D 100 Awards, celebrating the program's 60th Anniversary this year, has long been a benchmark of excellence for industry sectors as diverse as telecommunications, high-energy physics, software, manufacturing, and biotechnology. This 2022 R&D 100 winner is listed below, along with its respective category.
Category: Software/Services
Developers: Los Alamos National Laboratory
United States
Product Description:The On-Chip Neuromorphic Backpropagation Algorithm is the first implementation of the industry standard for machine learning, on a neuromorphic computer, consisting of computing elements that act like neurons in the brain. Inference and learning are performed entirely on-chip, drawing 100 times less power than the equivalent algorithm on a GPU/CPU.
Developers: Los Alamos National Laboratory
United States
Product Description:The On-Chip Neuromorphic Backpropagation Algorithm is the first implementation of the industry standard for machine learning, on a neuromorphic computer, consisting of computing elements that act like neurons in the brain. Inference and learning are performed entirely on-chip, drawing 100 times less power than the equivalent algorithm on a GPU/CPU.
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