AI Agent Feedback Adaptation for Wireless Networks Patent Application
Summary
The USPTO published patent application US20260099767A1 titled 'Feedback-Based AI/ML Models Adaptation in Wireless Networks.' The application covers an AI agent configured to report trained AI/ML models to an AI manager, receive performance feedback, and determine improvements based on that feedback. Inventors are Ping-Heng Kuo and Naveen Kumar R Palle Venkata. The application was filed on September 15, 2023.
What changed
The USPTO published a patent application for an AI system enabling AI agents to report trained models to a manager, receive performance feedback, and self-improve based on that feedback. The system relates to AI/ML model management in wireless network environments.
For technology companies and telecommunications firms developing AI/ML systems for wireless networks, this patent application indicates emerging intellectual property in autonomous feedback-based model adaptation. Companies in these sectors should monitor this application's prosecution for potential freedom-to-operate considerations.
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- Monitor for patent grant or office action updates
Archived snapshot
Apr 11, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Feedback-Based AI/ML Models Adaptation in Wireless Networks
Application US20260099767A1 Kind: A1 Apr 09, 2026
Inventors
Ping-Heng KUO, Naveen Kumar R PALLE VENKATA
Abstract
An artificial intelligence (AI) agent configured to report a trained AI or machine learning (ML) (AI/ML) model to an AI manager, receive feedback from the AI manager regarding a performance of the trained AI/ML model and, based on the feedback, determining whether and how to improve a performance of the trained AI/ML model.
CPC Classifications
G06N 20/00 G06F 11/3006 G06F 11/3065
Filing Date
2023-09-15
Application No.
19113768
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