U.S. Military Sees Future in Neuromorphic Computing
The novel architectures story is still shaping out for 2017 when it comes machine learning, hyperscale, supercomputing and other areas.
From custom ASICs at Google, new uses for quantum machines, FPGAs finding new routes into wider application sets, advanced GPUs primed for deep learning, hybrid combinations of all of the above, it is clear there is serious exploration of non-CMOS devices. When the Department of Energy in the U.S. announced its mission to explore novel architectures, one of the clear candidates for investment appeared to be neuromorphic chips—efficient pattern matching devices that are in development at Stanford (NeuroGrid), The …
U.S. Military Sees Future in Neuromorphic Computing was written by Nicole Hemsoth at The Next Platform.
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