Jerusalem, Israel

Liron Bergman

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Yissum Research Development Company of the Hebrew University of Jerusalem Ltd.. Active years: 2024.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Liron Bergman: Innovator in Deep Learning-Based Anomaly Detection

Introduction

Liron Bergman is a prominent inventor based in Jerusalem, Israel. He has made significant contributions to the field of deep learning, particularly in the area of anomaly detection in images. His innovative approach has the potential to enhance various applications in image processing and analysis.

Latest Patents

Liron Bergman holds a patent for a method titled "Deep learning-based anomaly detection in images." This method involves receiving training images that predominantly represent normal data instances. It also includes receiving a target image, extracting feature representations from both the training and target images, and calculating distances to determine if a target image location is anomalous based on a predetermined threshold. This patent showcases his expertise in leveraging deep learning techniques for practical applications.

Career Highlights

Bergman is associated with Yissum Research Development Company of the Hebrew University of Jerusalem Ltd. His work at this esteemed institution allows him to collaborate with leading researchers and contribute to cutting-edge projects. His career is marked by a commitment to advancing technology through innovative solutions.

Collaborations

Liron Bergman has worked alongside talented individuals such as Niv Cohen and Yedid Hoshen. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Liron Bergman is a notable inventor whose work in deep learning-based anomaly detection is paving the way for advancements in image analysis. His contributions reflect a dedication to innovation and a passion for technology that continues to inspire others in the field.

Profile summary based on public USPTO records.
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