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Three-dimensional hybrid circuits: the future of neuromorphic computing hardware

Abstract
Recently there have been intensive research efforts to adopt emerging electronic devices for neuromorphic computing. However, the usage of these devices and arrays mainly was to implement parallel matrix multiplication in the two-dimensional (2D) space. This Perspective discusses the importance and implementation of three-dimensional (3D) hybrid circuits for neuromorphic computing, focusing on the integration density, data communication, and functional connectivity. We believe that 3D neuromorphic systems represent the future of artificial intelligence hardware with much-improved power efficiency and cognitive capabilities.
Type
article
article
Date
2021-01-01
Publisher
Degree
Advisors
Rights
UMass Amherst Open Access Policy
License
http://creativecommons.org/licenses/by/4.0/