Computers have undergone tremendous improvements in performance over the last 60 years, but those improvements have significantly slowed down over the last decade, owing to fundamental limits in the underlying computing primitives. However, the generation of data and demand for computing are increasing exponentially with time. Thus, there is a critical need to invent new computing primitives, both hardware and algorithms, to keep up with the computing demands. The brain is a natural computer that outperforms our best computers in solving certain problems, such as instantly identifying faces or understanding natural language. This realization has led to a flurry of research into neuromorphic or brain-inspired computing that has shown promise for enhanced computing capabilities. This review points to the important primitives of a brain-inspired computer that could drive another decade-long wave of computer engineering.
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The building blocks of a brain-inspired computer
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March 2020
Review Article|
January 14 2020
The building blocks of a brain-inspired computer
Special Collection:
Brain Inspired Electronics
Jack D. Kendall;
Jack D. Kendall
1
Rain Neuromorphics
, 1749 Broadway, Redwood City, California 94063, USA
Search for other works by this author on:
Suhas Kumar
Suhas Kumar
a)
2
Hewlett Packard Labs
, 1501 Page Mill Rd., Palo Alto, California 94304, USA
Search for other works by this author on:
1
Rain Neuromorphics
, 1749 Broadway, Redwood City, California 94063, USA
2
Hewlett Packard Labs
, 1501 Page Mill Rd., Palo Alto, California 94304, USA
a)
E-mail: [email protected]
Note: This paper is part of the special collection on Brain Inspired Electronics.
Appl. Phys. Rev. 7, 011305 (2020)
Article history
Received:
September 27 2019
Accepted:
October 29 2019
Connected Content
A correction has been published:
Publisher's Note: “The building blocks of a brain-inspired computer” [Appl. Phys. Rev. 7, 011305 (2020)]
Citation
Jack D. Kendall, Suhas Kumar; The building blocks of a brain-inspired computer. Appl. Phys. Rev. 1 March 2020; 7 (1): 011305. https://doi.org/10.1063/1.5129306
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