Tzur Moshe, Israel

Neta Zmora

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.3

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2021-2025

where 'Filed Patents' based on already Granted Patents

8 patents (USPTO):

Title: The Innovative Mind of Neta Zmora

Introduction

Neta Zmora, an accomplished inventor based in Tzur Moshe, Israel, has made significant contributions to the field of technology, specifically in deep learning networks. With a remarkable portfolio of seven patents, she continues to enhance the capabilities of computational engines and their efficiency.

Latest Patents

Among her most recent inventions, Zmora has developed a patent for a "Scheduling Configuration for Deep Learning Networks." This apparatus utilizes a range of execution units capable of traversing a solution space to score various scheduling solutions for deep learning network execution, eventually selecting the optimal solution for implementation. Additionally, she has been credited with a patent concerning "System Cache Optimizations for Deep Learning Compute Engines." This invention simplifies complex operations by detecting cache line conflicts in last-level caches and implementing a context-based eviction policy to resolve those conflicts effectively.

Career Highlights

Zmora is currently associated with Intel Corporation, a global leader in technology and innovation. Her work is at the cutting edge of deep learning technology, reflecting her dedication to pushing the boundaries of what is possible in computational processing.

Collaborations

Throughout her career, Neta Zmora has collaborated with notable colleagues such as Eran Ben-Avi and Lev Faivishevsky. These partnerships have fostered a rich environment for innovation, allowing for the combination of diverse ideas and expertise.

Conclusion

Neta Zmora exemplifies the spirit of innovation in technology through her extensive patent portfolio and her role at Intel Corporation. Her latest work on deep learning networks is paving the way for advancements that could reshape the future of computing. With her continued efforts and collaborations, the field can expect to see even more transformative inventions from this talented inventor.

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