Convolutional neural network
US11475269B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2016 |
| Grant date | Oct 18, 2022 |
| Priority date | — |
| Expiry date | Nov 2, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03M1/802
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods of implementing a more efficient and less resource-intensive CNN are disclosed herein. In particular, applications of CNN in the analog domain using Sampled Analog Technology (SAT) methods are disclosed. Using a CNN design with SAT results in lower power usage and faster operation as compared to a CNN design with digital logic and memory. The lower power usage of a CNN design with SAT can allow for sensor devices that also detect features at very low power for isolated operation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.