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US Patent 11868896 Interface for working with simulations on premises

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118688960
Patent Inventor Names
Matthew Brown0
Michael Estee0
Date of Patent
January 9, 2024
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Patent Application Number
161040600
Date Filed
August 16, 2018
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Patent Citations
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US Patent 9213527 Model elements in software tools as automatons in a software customization system and method
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US Patent 9558454 System and method for model-based inventory management of a communications system
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US Patent 10504030 Systems, methods, and computer program products for generating a query specific Bayesian network
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US Patent 10586173 Searchable database of trained artificial intelligence objects that can be reused, reconfigured, and recomposed, into one or more subsequent artificial intelligence models
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US Patent 10664766 Graphical user interface to an artificial intelligence engine utilized to generate one or more trained artificial intelligence models
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US Patent 10671938 Artificial intelligence engine configured to work with a pedagogical programming language to train one or more trained artificial intelligence models
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US Patent 10691843 System and method for CNC machines and software
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US Patent 10733531 Artificial intelligence engine having an architect module
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Patent Citations Received
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US Patent 12131239 System and method for blending interoperable composite data units for use in distributed computing execution environments
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US Patent 12118976 Computer-implemented method and computer system for configuring a pretrained text to music AI model and related methods
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Patent Primary Examiner
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Mia M Thomas
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CPC Code
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G06N 3/0445
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G06V 10/96
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G06V 10/94
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G06K 9/6257
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G06F 8/316
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G06N 20/00
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G06N 3/02
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G06N 3/0454
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Patent abstract

The AI engine operates with the common API. The common API supports i) any of multiple different training sources and/or prediction sources installed on ii) potentially different sets of customer computing hardware in a plurality of on-premises' environments, where the training sources, prediction sources as well as the set of customer computing hardware may differ amongst the on-premises' environments. The common API via its cooperation with a library of base classes is configured to allow users and third-party developers to interface with the AI-engine modules of the AI engine in an easy and predictable manner through the three or more base classes available from the library. The common API via its cooperation with the library of base classes is configured to be adaptable to the different kinds of training sources, prediction sources, and the different sets of hardware found a particular on-premises environment.

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