This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Industrial Technology Research Institute. Active years: 2022-2026.
Company Filing History:
Years Active: 2022-2026
Title: Innovations by Inventor Hung-Tsai Wu
Introduction
Hung-Tsai Wu is a notable inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of technology, particularly in device state evaluation and artificial intelligence. With a total of 3 patents, his work reflects a commitment to advancing technological solutions.
Latest Patents
Wu's latest patents include a "Device State Evaluation System and Evaluation Method Based on Current Signals." This innovative method evaluates the state of a powered-on device by collecting multiple target current signals. The process involves signature extraction and normalization to create a target matrix, which is then diagnosed to determine if the device is malfunctioning. The identification results provide crucial information regarding the device's operational status.
Another significant patent is the "Artificial Intelligence Training Method for a Target Model Based on the Label Matrix." This method involves sensing target information from a device and processing it into a label matrix. By establishing a target model through artificial intelligence training, Wu's method predicts the life limit of the device based on real-time information, enhancing the efficiency of AI training.
Career Highlights
Hung-Tsai Wu is associated with the Industrial Technology Research Institute, where he continues to innovate and develop new technologies. His work has garnered attention for its practical applications in various industries.
Collaborations
Wu collaborates with talented individuals such as Chun-Chieh Wang and Meng-Lin Li, contributing to a dynamic research environment that fosters innovation.
Conclusion
Hung-Tsai Wu's contributions to technology through his patents and collaborative efforts highlight his role as a leading inventor in the field. His innovative methods in device evaluation and artificial intelligence training are paving the way for future advancements.