Artificial intelligence module communication

Patent metadata

Field	Value
Publication number	US-12346780-B2
Application number	US-202117449838-A
Country	US
Kind code	B2
Filing date	Oct 4, 2021
Priority date	Oct 4, 2021
Publication date	Jul 1, 2025
Grant date	Jul 1, 2025

Abstract

A system, method, and computer program product for implementing artificial intelligence module communication is provided. The method includes generating models associated with communications between real-time artificial intelligence modules. Classifiers associated with the models are generated and a master real-time artificial intelligence module associated with the modules and classifiers is detected. Real-time artificial intelligence modules are detected and communications between the master real-time artificial intelligence module and the real-time artificial intelligence modules are initiated. Updated classifiers, updated models, and updated self learning software are generated. The updated self learning software is executed and a resulting query associated with a Web search is executed.

First claim

What is claimed is:

1. A hardware device comprising a processor coupled to a computer-readable memory unit, the memory unit comprising instructions that when executed by the processor implements a real-time artificial intelligence module communication method comprising:
generating, by said processor, models associated with communications between real-time artificial intelligence modules;
generating, by said processor, classifiers associated with said models;
detecting, by said processor, a master real-time artificial intelligence module associated with said models and said classifiers;
detecting, by said processor executing Web crawling software during a Web crawling process, a plurality of real-time artificial intelligence modules;
wherein said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules comprise chatbot modules;
initiating, by said processor with respect to computer language rules, communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;
generating, by said processor in response to results of said communications, updated classifiers associated with said classifiers;
generating, by said processor in response to results of said communications and with respect to said updated classifiers, updated models associated with said models;
generating, by said processor in response to results of said communications and with respect to said updated models, updated self learning software for execution of said communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;
executing, by said processor, updated self learning software; and
executing, by said processor in response to user input with respect to said executing said updated self learning software, a query associated with a Web search.

2. The hardware device of claim 1 , wherein said executing said query comprises:
parsing semantics associated with indexing functionality of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;
parsing code based language of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;
executing a real time query of said master real-time artificial intelligence module;
querying, via said master real-time artificial intelligence module in response to said executing said real time query, said plurality of real-time artificial intelligence modules;
retrieving, in response to results of said querying said plurality of real-time artificial intelligence modules, search results of said query; and
presenting to a user, via a specialized graphical user interface (GUI), said search results.

3. The hardware device of claim 2 , wherein said specialized GUI comprises a virtual reality (VR) interface device.

4. The hardware device of claim 2 , further comprising:
determining, based on results of analyzing said search results, that relevant information is missing from query based information of said search results; and
requesting, in response to results of said determining, additional information associated with said query based information.

5. The hardware device of claim 2 , wherein said method further comprises:
determining, based on results of analyzing said search results, that query based information of said search results comprises all necessary information; and
enabling, in response to results of said determining, said updated self learning software and additional A/I software modules associated with suppliers, vendors, and Websites identified in response to said executing said real time query.

6. The hardware device of claim 1 , wherein said generating said classifiers comprises:
determining, by said processor, an availability for a functionality of a Web page with respect to said query;
determining, by said processor, required information for facilitating said functionality of said Web page; and
determining, by said processor, an outcome associated with said functionality of said Web page.

7. The hardware device of claim 6 , wherein said outcome is associated with a quote, a delivery, or information associated with a product.

8. A real-time artificial intelligence module communication method comprising:
generating, by a processor of a hardware device, models associated with communications between real-time artificial intelligence modules;
generating, by said processor, classifiers associated with said models;
detecting, by said processor, a master real-time artificial intelligence module associated with said models and said classifiers;
detecting, by said processor executing Web crawling software during a Web crawling process, a plurality of real-time artificial intelligence modules;
wherein said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules comprise chatbot modules;
initiating, by said processor with respect to computer language rules, communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;
generating, by said processor in response to results of said communications, updated classifiers associated with said classifiers;
generating, by said processor in response to results of said communications and with respect to said updated classifiers, updated models associated with said models;
generating, by said processor in response to results of said communications and with respect to said updated models, updated self learning software for execution of said communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;
executing, by said processor, updated self learning software; and
executing, by said processor in response to user input with respect to said executing said updated self learning software, a query associated with a Web search.

9. The method of claim 8 , wherein said executing said query comprises:
parsing semantics associated with indexing functionality of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;
parsing code based language of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;
executing a real time query of said master real-time artificial intelligence module;
querying, via said master real-time artificial intelligence module in response to said executing said real time query, said plurality of real-time artificial intelligence modules;
retrieving, in response to results of said querying said plurality of real-time artificial intelligence modules, search results of said query; and
presenting to a user, via a specialized graphical user interface (GUI), said search results.

10. The method of claim 9 , wherein said specialized GUI comprises a virtual reality (VR) interface device.

11. The method of claim 9 , further comprising:
determining, based on results of analyzing said search results, that relevant information is missing from query based information of said search results; and
requesting, in response to results of said determining, additional information associated with said query based information; and
initiating communication with multiple chatbots associated with identified suppliers, vendors and websites subsequent to requesting the additional information, the communications including communications between the master real-time artificial in

Assignees

• Kyndryl Inc

Inventors

• Cleaver James David
• Mcguire Hindle Dallas
• Mcguire Michael James
• Vadayadiyil Raveendran Pramod
• Nagar Seema

Classifications

• G06F16/951 Primary

  Indexing; Web crawling techniques · CPC title

• G06F16/9538

  Presentation of query results · CPC title

• G06N20/00 Primary

  Machine learning · CPC title

• G06F16/906

  Clustering; Classification · CPC title