Haifa, Israel

Avner Strum

This inventor holds 1 USPTO granted patent. Top assignee: Mobileye Vision Technologies Ltd.. Active years: 2026.


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Avner Strum: Innovator in Neural Network Processing

Introduction

Avner Strum is a prominent inventor based in Haifa, Israel. He has made significant contributions to the field of neural network processing. His innovative approach has led to the development of a unique method that enhances the efficiency of neural networks.

Latest Patents

Avner Strum holds 1 patent for his invention titled "Neural Network Processor." This patent describes a method for neural network processing that involves applying a group of neural network kernels across various layers of a neural network. The method includes the application of a 2D kernel on 2D layer input values to generate output results. Additionally, it details the process of scanning the input values and storing the output in a 3D memory unit. The invention also encompasses the use of a 3D kernel on 3D layer input values, further advancing the capabilities of neural network processing.

Career Highlights

Avner Strum is currently employed at Mobileye Vision Technologies Ltd., a company renowned for its advancements in autonomous driving technologies. His work at Mobileye has allowed him to collaborate with leading experts in the field, including his coworker Liran Levy. Together, they contribute to the innovative projects that drive the company forward.

Collaborations

Avner has worked closely with Liran Levy, sharing insights and expertise in the development of cutting-edge technologies. Their collaboration has been instrumental in pushing the boundaries of what is possible in neural network processing.

Conclusion

Avner Strum's contributions to neural network processing exemplify the spirit of innovation in technology. His patent and work at Mobileye Vision Technologies Ltd. highlight his commitment to advancing the field. Through his efforts, he continues to shape the future of neural networks and their applications.

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