Afula, Israel

Tzofnat Greenberg

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Technion Research & Development Foundation Ltd. Active years: 2024.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Tzofnat Greenberg: Innovator in Neural Network Technology

Introduction

Tzofnat Greenberg is a prominent inventor based in Afula, Israel. He has made significant contributions to the field of neural networks, particularly through his innovative patent related to hardware synapses.

Latest Patents

Tzofnat Greenberg holds a patent for an "MTJ-based hardware synapse implementation for binary and ternary deep neural networks." This invention features a stochastic synapse designed for use in neural networks. It comprises first and second magnetic tunnel junction (MTJ) devices, each with a fixed layer port and a free layer port. The invention includes a first and second control circuit connected to the free layer ports of the MTJ devices, which perform a gated XNOR operation between synapse and activation values. The output of this operation is represented by the output current through both MTJ devices.

Career Highlights

Tzofnat Greenberg is associated with the Technion Research & Development Foundation Limited, where he continues to advance research in neural network technologies. His work has garnered attention for its potential applications in artificial intelligence and machine learning.

Collaborations

He has collaborated with notable colleagues, including Shahar Kvatinsky and Daniel Soudry, contributing to the advancement of innovative technologies in their field.

Conclusion

Tzofnat Greenberg's contributions to neural network technology through his patent demonstrate his role as a key innovator in the field. His work continues to influence advancements in artificial intelligence and machine learning.

Profile summary based on public USPTO records.
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