ENTERPRISEWEB LLC (20240354567). KNOWLEDGE-DRIVEN AUTOMATION PLATFORM TO CONNECT, CONTEXTUALIZE, AND CONTROL ARTIFICIAL INTELLIGENCE TECHNOLOGIES INCLUDING GENERATIVE AI REPRESENTING A PRACTICAL IMPLEMENTATION OF NEURO-SYMBOLIC AI simplified abstract

KNOWLEDGE-DRIVEN AUTOMATION PLATFORM TO CONNECT, CONTEXTUALIZE, AND CONTROL ARTIFICIAL INTELLIGENCE TECHNOLOGIES INCLUDING GENERATIVE AI REPRESENTING A PRACTICAL IMPLEMENTATION OF NEURO-SYMBOLIC AI

Organization Name

ENTERPRISEWEB LLC

Inventor(s)

Dave M. Duggal of Glens Falls NY (US)

William J. Malyk of Guelph (CA)

KNOWLEDGE-DRIVEN AUTOMATION PLATFORM TO CONNECT, CONTEXTUALIZE, AND CONTROL ARTIFICIAL INTELLIGENCE TECHNOLOGIES INCLUDING GENERATIVE AI REPRESENTING A PRACTICAL IMPLEMENTATION OF NEURO-SYMBOLIC AI - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240354567 titled 'KNOWLEDGE-DRIVEN AUTOMATION PLATFORM TO CONNECT, CONTEXTUALIZE, AND CONTROL ARTIFICIAL INTELLIGENCE TECHNOLOGIES INCLUDING GENERATIVE AI REPRESENTING A PRACTICAL IMPLEMENTATION OF NEURO-SYMBOLIC AI

The abstract describes a patent application that integrates artificial intelligence technologies, including generative AI, with a knowledge-driven automation platform to implement neuro-symbolic AI practically. The techniques disclosed optimize interactions with artificial intelligences by grounding them in context to enhance processing, output quality, and automation platform actions.

• Simplified Explanation:

The patent application combines artificial intelligence technologies with a knowledge-driven automation platform to implement neuro-symbolic AI practically.

• Key Features and Innovation:

- Integration of generative AI with a knowledge-driven automation platform - Optimization of interactions with artificial intelligences through context grounding - Enhancement of processing, output quality, and automation platform actions

• Potential Applications:

- AI-driven decision-making systems - Intelligent automation in various industries - Cognitive computing applications

• Problems Solved:

- Enhancing the quality of interactions with artificial intelligences - Improving the efficiency of processing AI outputs - Optimizing automation platform actions

• Benefits:

- Improved decision-making processes - Enhanced automation capabilities - Increased efficiency and accuracy in AI applications

• Commercial Applications:

"Integrating Artificial Intelligence Technologies for Practical Neuro-Symbolic AI Implementation in Decision-Making Systems"

• Questions about the Technology:

1. How does the integration of generative AI with a knowledge-driven automation platform improve AI interactions? 2. What are the potential implications of this technology in cognitive computing applications?

• Frequently Updated Research:

Stay updated on the latest advancements in neuro-symbolic AI integration with artificial intelligence technologies for practical applications in decision-making systems.

Original Abstract Submitted

disclosed herein are system, method, and device embodiments for integrating artificial intelligence technologies, including generative ai with a knowledge-driven automation platform, to realize a practical implementation of neuro-symbolic ai. the disclosed techniques mediate interactions with artificial intelligences, grounding and enriching the interactions with context in order to optimize the processing of the interactions, the quality of the related outputs of artificial intelligence technologies, and the related actions of the automation platform, which may be part of a larger activity.