This inventor holds 1 USPTO granted patent. Top assignee: University of California. Active years: 2018.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018
Title: Innovations of Hao-Yuan Chang in CMOS Circuitry
Introduction
Hao-Yuan Chang is an accomplished inventor based in Folsom, CA. He has made significant contributions to the field of computation and information processing through his innovative work in CMOS circuitry. His research focuses on utilizing chaos and self-organized criticality to enhance computational capabilities.
Latest Patents
Hao-Yuan Chang holds a patent for "Self-organized critical CMOS circuits and methods for computation and information processing." This groundbreaking circuit leverages chaos to generate a matrix of bits, which can be utilized for various computational tasks. The embodiment of this invention employs CMOS technology to solve optimization problems effectively. The design features a lattice formation of unit cells, where multiple transistors set voltages as state variables. Adjustable bifurcation parameters allow the circuit to transition in and out of chaotic regimes, enhancing its versatility. A processing unit, along with software, is employed to integrate specific problems into the chaotic circuit, while data latches or analog-to-digital converters facilitate the reading of voltages from the circuit.
Career Highlights
Hao-Yuan Chang is affiliated with the University of California, where he continues to advance his research in innovative circuit design. His work has garnered attention for its potential applications in various fields, including optimization and information processing.
Collaborations
Hao-Yuan Chang collaborates with Kang L Wang, contributing to the advancement of technology in their respective fields.
Conclusion
Hao-Yuan Chang's innovative work in CMOS circuitry exemplifies the intersection of chaos theory and practical computation. His contributions are paving the way for future advancements in information processing technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
