Real time output control in hardware based on machine learning
US11783235B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2019 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Sep 3, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning system that includes one or more machine learning models implemented in one or more hardware processors, a first-level feature creation module, and a combination module provides an output based on one or more channel inputs. Each of the one or more machine learning models receives the channel inputs and additional feature inputs based on the channel inputs to produce the output. The first-level feature creation module receives the channel inputs, performs a feature creation operation, creates the additional feature inputs, and provides the additional feature inputs to at least one of the machine learning models. The first-level feature creation operation performs a calculation on one or more aspects of the channel inputs, and the combination module receives the one or more machine learning model outputs and produce a machine learning channel output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.