Mitigation of conductance drift in neural network resistive processing units
US11461640B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Apr 18, 2019 |
| Grant date | Oct 4, 2022 |
| Priority date | — |
| Expiry date | Aug 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for performing calculations with a neural network include determining a conductance drift coefficient for resistive processing unit (RPU) weights in a neural network. A correction factor is applied to neuron inputs in the neural network in accordance with the drift coefficient and a time that has elapsed since the RPU weights were programmed. A calculation is performed with the neural network. The correction factor compensates for conductance drift.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.