Company Filing History:
Years Active: 2025
Title: The Innovations of Ho-Yu Chen
Introduction
Ho-Yu Chen is a prominent inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of computing-in-memory applications. His innovative work has led to the development of a unique patent that enhances memory array structures.
Latest Patents
Ho-Yu Chen holds a patent titled "Memory array structure with dynamic differential-reference based readout scheme for computing-in-memory applications, dynamic differential-reference time-to-digital converter for computing-in-memory applications and computing method thereof." This invention features a dynamic differential-reference time-to-digital converter controlled by a bias reference and a predetermined setting parameter. The design includes a configurable main-reference selector that receives multiple edge-output signals, allowing for the selection of a main reference and other edge selected signals based on the predetermined setting parameter. The time-to-digital converters compare the bias reference with the main reference to output a bias multiplication-and-accumulation value, while others compare the main reference with the edge selected signals to produce differential multiplication-and-accumulation values. These values are dynamically adjusted according to the bias reference and the predetermined setting parameter. Ho-Yu Chen has 1 patent to his name.
Career Highlights
Ho-Yu Chen is affiliated with Tsinghua University, where he continues to advance his research and innovation in computing technologies. His work is recognized for its potential impact on the efficiency and effectiveness of memory applications.
Collaborations
Some of his notable coworkers include Meng-Fan Chang and Ping-Chun Wu, who contribute to the collaborative efforts in their research endeavors.
Conclusion
Ho-Yu Chen's innovative contributions to computing-in-memory applications demonstrate his expertise and commitment to advancing technology. His patent reflects a significant step forward in the field, showcasing the potential for improved memory structures.