Reno, NV, United States of America

Leo Richard Jolicoeur

This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Agblox, Inc.. Active years: 2020-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Leo Richard Jolicoeur. Retrieved from https://idiyas.com/inventor/leo-richard-jolicoeur

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

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 2

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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4 patents (USPTO):Explore Patents

Title: Innovations of Leo Richard Jolicoeur

Introduction

Leo Richard Jolicoeur is an accomplished inventor based in Reno, NV (US). He holds a total of four patents, showcasing his expertise in the field of data analytics and artificial intelligence. His innovative work focuses on developing advanced platforms that leverage machine learning and neural networks to forecast future states of commodities and other assets.

Latest Patents

One of his latest patents involves generative artificial intelligence-based agents using customized neural networks. This data analytics platform is designed for forecasting future states of commodities and other assets by processing both textual and numerical data sources. The platform features a multi-layer machine learning-based model that extracts sentiment from textual data through a natural language processing engine. It evaluates numerical data using time-series analysis and generates initial forecasts for the commodities or assets being analyzed. Additionally, the platform incorporates multiple applications of neural networks to enhance forecasts through further analysis of relevant information as it is collected. This includes commodity-specific neural networks that continually develop taxonomies for processing commodity sentiment, as well as applications of reinforcement learning, symbolic networks, and unsupervised meta-learning to improve the overall performance and accuracy of the forecasts generated.

Another significant patent by Jolicoeur focuses on sentiment and rules-based equity analysis using customized neural networks within a multi-layer, machine learning-based model. Similar to his previous patent, this platform also aims to forecast future states of commodities and assets by processing textual and numerical data sources. The innovative features and methodologies employed in this patent further demonstrate Jolicoeur's commitment to advancing the field of data analytics.

Career Highlights

Leo Richard Jolicoeur is currently associated with Agblox, Inc., where he continues to contribute to the development of cutting-edge technologies. His work has positioned him as a notable figure in the realm of data analytics and artificial intelligence.

Collaborations

Throughout his career, Jolicoeur has collaborated with talented individuals such as Thomas N Blair and Alex A Kurzhanskiy. These collaborations have likely enriched his work and contributed to the innovative solutions he has developed.

Conclusion

Leo Richard Jolicoeur's contributions to the field of data analytics and artificial intelligence are significant and impactful. His innovative patents reflect a deep understanding of machine learning and neural networks, positioning him as a leading inventor in his domain.

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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