Publication Date
2021
Journal or Book Title
Nano Express
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.
DOI
https://doi.org/10.1088/2632-959X/ac280e
Volume
2
Issue
3
License
UMass Amherst Open Access Policy
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Lin, Peng and Xia, Qiangfei, "Three-dimensional hybrid circuits: the future of neuromorphic computing hardware" (2021). Nano Express. 1203.
https://doi.org/10.1088/2632-959X/ac280e