Santa Barbara, CA, United States of America

Brower A Dimond, Jr


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Brower A Dimond, Jr: Innovator in Neural Network Technology

Introduction

Brower A Dimond, Jr. is a notable inventor based in Santa Barbara, CA, who has made significant contributions to the field of neural networks and image classification systems. With a focus on optimizing object detection in images, his work has implications for various applications in technology and artificial intelligence.

Latest Patents

Brower A Dimond, Jr. holds a patent for a system titled "Neural network and classifier selection systems and methods." This innovative technology involves high-resolution image target classification systems and methods that utilize a multistage neural network. The system is designed to receive a set of data associated with a scene, including images, and employs an attention coordinator to determine regions of interest. This approach optimizes the probability of detecting objects while minimizing the number of pixels processed, showcasing a sophisticated understanding of resource allocation in neural networks.

Career Highlights

Brower A Dimond, Jr. is currently employed at Teledyne FLIR Commercial Systems, Inc., where he continues to develop cutting-edge technologies in the field of imaging and classification. His work at Teledyne FLIR highlights his commitment to advancing the capabilities of neural networks and their applications in real-world scenarios.

Collaborations

Throughout his career, Brower has collaborated with talented individuals such as Pierre M Boulanger and Justin Muncaster. These collaborations have likely contributed to the innovative advancements in his projects and patents.

Conclusion

Brower A Dimond, Jr. is a distinguished inventor whose work in neural networks and image classification systems has the potential to transform technology. His contributions reflect a deep understanding of both theoretical and practical aspects of artificial intelligence.

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