Stochastic Computing Systems
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Stochastic computing was first proposed in the 1960s but never became mainstream due to the exponential growth of digital computers.
“Stochastic computing was first proposed in the 1960s (26,27) but like many concepts proposed ahead of their time it never become mainstream due to the exponential growth of digital computers.”
From Stochastic memristive devices for computing and neuromorphic applications (2013) · cites this paper as [26]
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Stochastic computing elements and systems
Poppelbaum, W. J., Afuso, C., & Esch, J. W. (1967) · Proceedings of the November 14-16, 1967, fall joint computer conference on - AFIPS '67 (Fall) · doi:10.1145/1465611.1465696 · Cited by 114 · see citing works
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Stochastic memristive devices for computing and neuromorphic applications
Gaba, S., Sheridan, P., Zhou, J., Choi, S., & Lu, W. (2013) · Nanoscale · doi:10.1039/c3nr01176c · Cited by 307 · see citing works
“Stochastic computing was first proposed in the 1960s (26,27) but like many concepts proposed ahead of their time it never become mainstream due to the exponential growth of digital computers.”
BackgroundA memristor-based Bayesian machine
Harabi, K.-E., Hirtzlin, T., Turck, C., Vianello, E., Laurent, R., Droulez, J., Bessière, P., Portal, J.-M., Bocquet, M., & Querlioz, D. (2022) · Nature Electronics · doi:10.1038/s41928-022-00886-9 · Cited by 58 · see citing works
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
Geng, X., Wang, Z., Chen, C., Xu, Q., Xu, K., Jin, C., Gupta, M., Yang, X., Chen, Z., Sabry Aly, M. M., et al. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2024.3394494 · Cited by 26 · see citing works
- Authors
- Gaines, B. R.
- Affiliations
- University of Essex (GB)
- Corresponding author
- Gaines, B. R.
- ORCID
- Gaines, B. R.
- Venue
- Advances in Information Systems Science
- Publisher
- Springer US
- Published
- 1969
- Pages
- 37-172
- OpenAlex
- W2098470668
- Cited by
- 745
- References
- 1
- Citations by year
- 2026: 15 · 2025: 33 · 2024: 33 · 2023: 47 · 2022: 54 · 2021: 55 · 2020: 51 · 2019: 62 · 2018: 50 · 2017: 62 · 2016: 55 · 2015: 37 · 2014: 24 · 2013: 20 · 2012: 16
- FWCI
- 4.12
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
- Keywords
- stochastic computing, machine learning, pattern recognition, learning algorithms, artificial intelligence
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