System and method for dynamic, incremental recommendations within real-time visual simulation
US10620923B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 22, 2017 |
| Grant date | Apr 14, 2020 |
| Priority date | — |
| Expiry date | Aug 22, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/5061
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can include a software development component and graphical user interface, referred to herein in some embodiments as a pipeline editor, or Lambda Studio IDE, that provides a visual environment for use with the system, including providing real-time recommendations for performing semantic actions on data accessed from an input HUB, based on an understanding of the meaning or semantics associated with the data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.