Convolutional layers for neural networks using programmable nanophotonics
US12033065B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 14, 2019 |
| Grant date | Jul 9, 2024 |
| Priority date | — |
| Expiry date | Jul 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the present application relate to techniques for computing convolutions and cross-correlations of input matrices. A first technique is based on the transformation of convolution operations into a matrix-vector product. A second technique is based on two-dimensional matrix multiplication. A third technique is based on the convolution theorem, which states that convolutions correspond to multiplications in a transform space.Embodiments include methods for computing convolutions of a filter matrix and an input data matrix; apparatuses for computing convolutions of a filter matrix and an input data matrix; and a non-transitory computer readable medium programmed with instructions that, when executed by a processor perform a method for computing convolutions of a filter matrix and an input data matrix.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.