Autonomous learning platform for novel feature discovery
US11586960B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 9, 2017 |
| Grant date | Feb 21, 2023 |
| Priority date | — |
| Expiry date | May 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/027
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are directed to a method of performing autonomous learning for updating input features used for an artificial intelligence model, the method comprising receiving updated data of an information space that includes a graph of nodes having a defined topology, the updated data including historical data of requests to the artificial intelligence model and output results associated with the requests, wherein different categories of input data corresponds to different input nodes of the graph. The method may further comprise updating edge connections between the nodes of the graph by performing path optimizations that each use a set of agents to explore the information space over cycles to reduce a cost function, each connection including a strength value, wherein during each path optimization, path information is shared between the rest of agents at each cycle for determining a next position value for each of the set of agents in the graph.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.