San Diego, CA, United States of America

Yilei Li


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Yilei Li: Innovator in Multi-Layer Neural Networks

Introduction

Yilei Li is a prominent inventor based in San Diego, California. He has made significant contributions to the field of artificial intelligence through his innovative work on neural networks. His expertise and dedication to advancing technology have led to the development of a unique patent that enhances computational efficiency.

Latest Patents

Yilei Li holds a patent for a multi-layer neural network. This invention features a multi-layer artificial neural network that includes at least one high-speed communication interface and N computational layers, where N is an integer greater than 1. The computational layers are serially connected through the high-speed communication interface. Each layer consists of a computation circuit and a local memory, which stores input data and learnable parameters. The design allows for efficient data transfer between layers, enhancing the overall performance of the neural network.

Career Highlights

Yilei Li is currently employed at Kneron, Inc., a company known for its advancements in AI technology. His work at Kneron has positioned him as a key player in the development of innovative solutions in the field. His contributions have not only advanced the company's goals but have also impacted the broader landscape of artificial intelligence.

Collaborations

Yilei Li collaborates with talented individuals such as Yuan Du and Chun-Chen Liu. These partnerships foster a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Yilei Li's work in the realm of multi-layer neural networks exemplifies his commitment to innovation and technological advancement. His patent reflects a significant step forward in artificial intelligence, showcasing his role as a leading inventor in this dynamic field.

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