Company Filing History:
2 out of 26 
1 out of 9 Years Active: 2000-2022
Title: Regan Myers: Innovator in Stochastic Binary String Technology
Introduction
Regan Myers is a notable inventor based in San Diego, California. He has made significant contributions to the field of computational technology, particularly in the generation and multiplication of stochastic binary strings. With a total of three patents to his name, Myers has demonstrated a commitment to advancing technological methodologies.
Latest Patents
Myers' latest patents include a "Method and apparatus for generation of multiphase stochastic binary string." This invention utilizes various types of stochastic binary string (SBS) generators to create SBS sequences based on specific values to be multiplied. Some embodiments of this patent employ a multiphase SBS generator, which enhances the efficiency of generating multiple SBS sequences that are offset from one another in phase. Another significant patent is the "Method and apparatus for efficient multiplication to improve performance in computational machines." This invention outlines a method for determining an SBS that represents a value based on its binary two's complement. It introduces several generators designed to produce SBS strings with features that are advantageous under different conditions, allowing for optimal performance when multiplying SBS strings.
Career Highlights
Throughout his career, Regan Myers has worked with several prominent companies, including Chaoyang Semiconductor Jiangyin Technology Co., Ltd. and Tiernan Communications, Inc. His experience in these organizations has contributed to his expertise in the field of computational technology and innovation.
Collaborations
Myers has collaborated with notable professionals in his field, including Saeid Safavi and Xinyu Ma. These collaborations have likely enriched his work and contributed to the development of his innovative patents.
Conclusion
Regan Myers is a distinguished inventor whose work in stochastic binary string technology has the potential to significantly impact computational performance. His patents reflect a deep understanding of the complexities involved in computational methodologies, showcasing his innovative spirit and dedication to technological advancement.