This inventor holds 37 USPTO granted patents and 22 published patent applications and 5 EPO patents, primarily in Cybersecurity Techniques. Top assignees: Intel Corporation, Wiz, Inc., Armis Security Ltd.. Active years: 2011-2026.
Location History:
- Even Yehuda, IL (2011 - 2024)
- Tel Aviv, IL (2012 - 2024)
Company Filing History:
17 out of 56,290 
6 out of 213 
5 out of 31 
Years Active: 2011-2026
Areas of Expertise:
Title: Tomer Schwartz: A Pioneer in Deep Learning and Data Compression Innovations
Introduction
Tomer Schwartz, based in Even Yehuda, Israel, is an accomplished inventor with an impressive portfolio of 26 patents. His work primarily focuses on advancements in deep learning and data compression technologies. Schwartz's innovative contributions are shaping the future of artificial intelligence and enhancing the efficiency of neural networks.
Latest Patents
Among his notable inventions, Schwartz holds patents for groundbreaking technologies such as "Real Time Context Dependent Deep Learning" and "Low Rank Matrix Compression." The first patent describes an apparatus that comprises various execution units, which include logic — partly comprised of hardware logic — to receive a multitude of data inputs for training a neural network. This process involves representing data inputs in diverse forms to optimize the neural network's performance.
The second patent outlines a lossy compression algorithm designed for convolutional neural network (CNN) layers. This algorithm employs a data transform and quantization process, facilitating effective data compression which is essential for improving the performance and reducing the resource consumption of AI systems.
Career Highlights
Schwartz has made significant contributions through his tenure at notable organizations. He has worked with renowned companies like Intel Corporation and Armis Security Ltd., where he applied his expertise to develop innovative solutions in the tech industry.
Collaborations
Throughout his career, Tomer Schwartz has collaborated with skilled professionals, including Lev Faivishevsky and Jacob Subag. These partnerships have fostered an environment of creativity and innovation, allowing for the advancement of cutting-edge technologies in the field of artificial intelligence.
Conclusion
Tomer Schwartz's work exemplifies the spirit of innovation and dedication to enhancing technology. With his extensive experience and noteworthy inventions, Schwartz continues to make strides in the realm of deep learning and data compression, paving the way for the next generation of technological advancements. His contributions not only reflect his ingenuity but also highlight the critical role that inventors play in shaping the future of technology.