Stochastic computing is a collection of techniques that represent continuous values by streams of random bits. Complex computations can then beâ€¦Â (More)

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2017

2017

- Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
- IEEE Transactions on Very Large Scale Integrationâ€¦
- 2017

The hardware implementation of deep neural networks (DNNs) has recently received tremendous attention: many applications in factâ€¦Â (More)

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2014

2014

- Siddharth Gaba, Phil Knag, Zhengya Zhang, Wei Lu
- 2014 IEEE International Symposium on Circuits andâ€¦
- 2014

We show resistive switching effects in memristive devices exhibit significant stochasticity. When the switching is dominated by aâ€¦Â (More)

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Highly Cited

2013

Highly Cited

2013

- Siddharth Gaba, Patrick Sheridan, Jiantao Zhou, Shinhyun Choi, Wei D. Lu
- Nanoscale
- 2013

Nanoscale resistive switching devices (memristive devices or memristors) have been studied for a number of applications rangingâ€¦Â (More)

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Review

2013

Review

2013

- Armin Alaghi, John P. Hayes
- ACM Trans. Embedded Comput. Syst.
- 2013

Stochastic computing (SC) was proposed in the 1960s as a low-cost alternative to conventional binary computing. It is unique inâ€¦Â (More)

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Review

2012

Review

2012

- Brian R. Gaines
- 2012

The invention of the steam engine in the late eighteenth century made it possible to replace the muscle-power of men and animalsâ€¦Â (More)

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Highly Cited

2011

Highly Cited

2011

- Peng Li, David J. Lilja
- 2011 IEEE 29th International Conference onâ€¦
- 2011

As device scaling continues to nanoscale dimensions, circuit reliability will continue to become an ever greater problemâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Naresh R. Shanbhag, Rami A. Abdallah, Rakesh Kumar, Douglas L. Jones
- Design Automation Conference
- 2010

Stochastic computation, as presented in this paper, exploits the statistical nature of application-level performance metrics, andâ€¦Â (More)

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Highly Cited

1996

Highly Cited

1996

One way to represent a machine learning algorithm's bias over the hypothesis and instance space is as a pair of probabilityâ€¦Â (More)

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Highly Cited

1967

Highly Cited

1967

- Brian R. Gaines
- AFIPS Spring Joint Computing Conference
- 1967

The Stochastic Computer was developed as part of a program of research on the structure, realization and application of advancedâ€¦Â (More)

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1967

1967

- W. J. Poppelbaum, C. Afuso, J. W. Esch
- AFIPS Fall Joint Computing Conference
- 1967

To date essentially only two fundamentally different representations of numbers have been used in electronic computers: One isâ€¦Â (More)

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