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• W3094079643 abstract "<italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Editor’s notes:</i> This keynote article is written by Brian Gaines, the inventor of stochastic computing. He shares both a view back on the history of neuromorphic computing and a view forward on deep learning as a new information processing technology. Gaines observes that computing has been a recursive technology: it supports other technologies that in turn support the progress of computing itself, leading to a positive exponential feedback loop and an exponential growth. He infers that the same holds for deep learning with its ability to meta-learn solutions to its own design problems. — <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Ilia Polian, University of Stuttgart</i>" @default.
• W3094079643 created "2020-10-29" @default.
• W3094079643 creator A5050537131 @default.
• W3094079643 date "2021-12-01" @default.
• W3094079643 modified "2023-09-24" @default.
• W3094079643 title "A Conceptual Framework for Stochastic Neuromorphic Computing" @default.
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• W3094079643 doi "https://doi.org/10.1109/mdat.2020.3031857" @default.
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