Open AccessThree-dimensional hybrid circuits: the future of neuromorphic computing hardware
Author(s) -
Peng Lin,
Qiangfei Xia
Publication year - 2021
Publication title -
nano express
Language(s) - English
Resource type - Journals
ISSN - 2632-959X
DOI - 10.1088/2632-959x/ac280e
Subject(s) - neuromorphic engineering , computer architecture , computer science , multiplication (music) , cognitive computing , matrix multiplication , electronic circuit , perspective (graphical) , artificial neural network , cognition , artificial intelligence , electrical engineering , engineering , neuroscience , mathematics , physics , combinatorics , quantum mechanics , quantum , biology
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.