Company Filing History:
Years Active: 2015-2025
Title: Innovations of Juin-Ming Lu
Introduction
Juin-Ming Lu is a prominent inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of technology, particularly in processing elements and neural network methodologies. With a total of 15 patents to his name, Lu continues to push the boundaries of innovation.
Latest Patents
One of his latest patents is titled "Processing elements array that includes delay queues between processing elements to hold shared data." This invention features a processing element architecture adapted to convolution, comprising multiple processing elements and a delayed queue circuit. The architecture allows the first and second processing elements to perform convolution based on shared data, with the delayed queue circuit facilitating the transfer of this data between them after a specified time interval.
Another notable patent is the "Neural network processing method and server and electrical device therefor." This method involves transforming AI compiler code into garbled circuit code. The process includes sending a circuit graph of the garbled circuit to an electrical device, creating key codebooks for candidate gates, and generating garbled truth tables. The server then generates a target garbled truth table for each logic gate, leading to the encryption of an NN model.
Career Highlights
Juin-Ming Lu is affiliated with the Industrial Technology Research Institute, where he applies his expertise to advance technological research and development. His work has been instrumental in enhancing the efficiency and capabilities of neural networks and processing elements.
Collaborations
Lu collaborates with esteemed colleagues, including Yao-Hua Chen and Jing-Jia Liou. Their combined efforts contribute to the innovative projects at the Industrial Technology Research Institute.
Conclusion
Juin-Ming Lu's contributions to technology through his patents and collaborations highlight his role as a leading inventor in the field. His work continues to inspire advancements in processing elements and neural networks.
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