Herzliya, Israel

Roy Uziel

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Innovator Roy Uziel: Pioneering Shape-Biased Image Classification

Introduction

Roy Uziel, an inventive mind located in Herzliya, Israel, has made significant strides in the field of image analysis. With a keen interest in machine learning and deep convolutional networks, he has developed innovative solutions that enhance image classification. His work reflects the cutting edge of technology and a dedication to advancing image processing systems.

Latest Patents

Uziel holds a patent for "Shape-biased image classification using deep convolutional networks." This groundbreaking system is designed to analyze images through a sophisticated processing device. The system incorporates a receiving module that captures the image. An analysis module applies the image to a machine learning network, which classifies several features within the image. The machine learning network proficiently propagates image data through multiple convolutional layers, with each layer featuring several filter channels. One notable component of this network is the bottleneck layer, which is adept at identifying image features based on their shapes. As a result, the system's output module generates characterization data, which includes comprehensive classifications of the identified features.

Career Highlights

Roy Uziel is currently associated with Gm Global Technology Operations LLC, where he continues to explore new avenues in technology and innovation. His work contributes to the broader mission of the company, driving advancements in image classification and analysis.

Collaborations

Throughout his career, Uziel has collaborated with talented professionals, including Dan Levi and Noa Garnett. Together, they contribute unique perspectives and expertise, fostering an environment of creativity and technological advancement within their projects.

Conclusion

Roy Uziel’s contributions to the field of image classification through deep learning exemplify the power of innovation. His patent on shape-biased image classification demonstrates his commitment to pushing the boundaries of technology. As he continues his work at Gm Global Technology Operations LLC, Uziel’s future endeavors are anticipated with great interest as he further shapes the landscape of image analysis.

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