London, United Kingdom

Ian Michael Gemp

This inventor holds 2 USPTO granted patents and 7 published patent applications and 1 EPO patent. Top assignee: Gdm Holding LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ian Michael Gemp. Retrieved from https://idiyas.com/inventor/ian-michael-gemp

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

% Patents Active = 100.0

 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Ian Michael Gemp - Innovator in Multi-Agent Systems

Introduction

Ian Michael Gemp is an inventor based in London, GB. He is associated with DeepMind Technologies Limited, where he focuses on advancements in multi-agent systems. Although he currently holds no granted patents, his work is significant in the field of artificial intelligence and cooperative agent behavior.

Latest Patent Applications

Ian has submitted several notable patent applications, including:

1. **Determining Generalized Eigenvectors Using Multi-Agent Interactions** - This application describes methods, systems, and apparatus for determining generalized eigenvectors that characterize a data set.

2. **Negotiating Contracts for Agent Cooperation in Multi-Agent Systems** - This application outlines methods, systems, and apparatus for enabling agents to cooperate with one another, improving their collective efficiency. The agents can modify their behavior based on the actions of other agents, leading to better overall results than if each agent acted independently. This is achieved by allowing agents to negotiate contracts that restrict their respective actions.

Conclusion

Ian Michael Gemp is a promising inventor whose work in multi-agent systems has the potential to influence the future of artificial intelligence. His latest patent applications reflect innovative approaches to agent cooperation and data analysis.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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