Open AccessNeuromorphic Processing and Sensing for Interception
Author(s) -
Frances S. Chance
Publication year - 2020
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1665934
Subject(s) - neuromorphic engineering , interception , computer science , artificial neural network , event (particle physics) , implementation , spiking neural network , parallelizable manifold , artificial intelligence , real time computing , computer engineering , computer architecture , algorithm , ecology , physics , quantum mechanics , biology , programming language
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