Hillsboro, OR, United States of America

James L Bailey


Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 36(Granted Patents)


Company Filing History:


Years Active: 1989-1990

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Innovations of James L. Bailey

Introduction

James L. Bailey is an accomplished inventor based in Hillsboro, Oregon. He has made significant contributions to the field of computational systems, holding two patents that showcase his innovative approach to neural-model architectures. His work emphasizes the importance of communication within computational networks.

Latest Patents

Bailey's latest patents include a "Neural-model computational system with multi-directionally overlapping" and a "Neural-model, information-handling architecture and method." The first patent describes a layered, multidirectional-feed computational system that organizes computational nodes into overlapping broadcast regions. This design allows for selective and simultaneous communication between groups of nodes in various directions. The second patent outlines a connectionism-based computational method that features a broadcast-hierarchical structure. It organizes communication into multiple levels, facilitating both local and long-distance communications in a broadcast manner.

Career Highlights

Bailey has worked at the Oregon Graduate Center, where he has been able to apply his innovative ideas in a collaborative environment. His work has contributed to advancements in neural-model computational systems, enhancing the efficiency and effectiveness of information handling.

Collaborations

One of his notable collaborators is Daniel W. Hammerstrom, with whom he has worked on various projects related to computational systems. Their partnership has fostered a creative exchange of ideas, leading to significant advancements in their field.

Conclusion

James L. Bailey's contributions to neural-model computational systems reflect his innovative spirit and dedication to advancing technology. His patents demonstrate a deep understanding of communication within computational networks, paving the way for future developments in this area.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…