This inventor holds 1 USPTO granted patent. Top assignee: The Hong Kong University of Science and Technology. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Yujun Zhao: Innovator in All-Optical Neural Networks
Introduction
Yujun Zhao is a prominent inventor based in Hong Kong, China. He has made significant contributions to the field of optical technology, particularly in the development of neural networks that utilize light for processing information. His innovative approach combines traditional neural network concepts with advanced optical components.
Latest Patents
Yujun Zhao holds a patent for an all-optical neural network. This invention utilizes light beams and optical components to implement layers of the neural network. The all-optical neural network includes an input layer, zero or more hidden layers, and an output layer. Each layer is designed to simulate both linear and nonlinear operations of a conventional artificial neural network neuron on an optical signal. The optical linear operation is performed by a spatial light modulator and an optical lens, which executes a Fourier transformation on the set of light beams. The optical nonlinear operation is achieved using a nonlinear optical medium characterized by electromagnetically induced transparency, allowing the transmission of a probe beam of light to be controlled by the intermediate output of a coupling beam from the optical linear operation. Yujun Zhao has 1 patent to his name.
Career Highlights
Yujun Zhao is affiliated with The Hong Kong University of Science and Technology, where he continues to advance research in optical technologies. His work has garnered attention for its potential applications in artificial intelligence and data processing.
Collaborations
Yujun Zhao has collaborated with notable colleagues, including Shengwang Du and Junwei Liu. Their combined expertise contributes to the innovative research environment at their institution.
Conclusion
Yujun Zhao's work in all-optical neural networks represents a significant advancement in the intersection of optics and artificial intelligence. His contributions are paving the way for future innovations in this exciting field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile