Haifa, Israel

Ran El-Yaniv

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.1

ph-index = 2

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2014-2022

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5 patents (USPTO):Explore Patents

Title: Innovations of Ran El-Yaniv

Introduction

Ran El-Yaniv is a prominent inventor based in Haifa, Israel. He has made significant contributions to the field of computerized mechanical devices and neural networks. With a total of 5 patents, his work focuses on advancing technology through innovative methods and devices.

Latest Patents

One of his latest patents is titled "Method and device for a computerized mechanical device." This invention involves a method for training a computerized mechanical device by receiving data that documents the actions of an actuator performing a task across multiple iterations. The process includes calculating a neural network dataset, gathering scores from an instructor, and updating the neural network's parameters based on reward values.

Another notable patent is "Quantized neural network training and inference." This patent describes a method for training neural networks by constructing a model with neurons that have quantized activation functions. The neurons are organized in layers and connected by quantized connection weight functions. During training, weight gradients are calculated through backpropagation, allowing for efficient neural network training.

Career Highlights

Ran El-Yaniv is associated with the Technion Research & Development Foundation Limited, where he continues to innovate and develop new technologies. His work has garnered attention for its practical applications in robotics and artificial intelligence.

Collaborations

He has collaborated with notable colleagues such as Roy Friedman and David Yanay, contributing to various projects that push the boundaries of technology.

Conclusion

Ran El-Yaniv's contributions to the field of technology through his patents and collaborations highlight his role as an influential inventor. His innovative methods in computerized mechanical devices and neural networks pave the way for future advancements in these areas.

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