Framework for optimization of machine learning architectures
US12367249B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2021 |
| Grant date | Jul 22, 2025 |
| Priority date | — |
| Expiry date | Jan 9, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/027
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure is related to framework for automatically and efficiently finding machine learning (ML) architectures that are optimized to one or more specified performance metrics and/or hardware platforms. This framework provides ML architectures that are applicable to specified ML domains and are optimized for specified hardware platforms in significantly less time than could be done manually and in less time than existing ML model searching techniques. Furthermore, a user interface is provided that allows a user to search for different ML architectures based on modified search parameters, such as different hardware platform aspects and/or performance metrics. Other embodiments may be described and/or claimed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.