Efficient method for VLSI implementation of useful neural network activation functions
US12400112B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 8, 2020 |
| Grant date | Aug 26, 2025 |
| Priority date | — |
| Expiry date | Aug 31, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural inference chip is provided, including at least one neural inference core. The at least one neural inference core is adapted to apply a plurality of synaptic weights to a plurality of input activations to produce a plurality of intermediate outputs. The at least one neural inference core comprises a plurality of activation units configured to receive the plurality of intermediate outputs and produce a plurality of activations. Each of the plurality of activation units is configured to apply a configurable activation function to its input. The configurable activation function has at least a re-ranging term and a scaling term, the re-ranging term determining the range of the activations and the scaling term determining the scale of the activations. Each of the plurality of activations units is configured to obtain the re-ranging term and the scaling term from one or more look up tables.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.