Company Filing History:
Years Active: 2025
Title: Edward Richter: Innovator in Dynamic Data Conversion
Introduction
Edward Richter is a notable inventor based in Tucson, AZ (US). He has made significant contributions to the field of computing, particularly in dynamic data conversion for network computer systems. His innovative approach has led to the development of a unique patent that enhances data processing efficiency.
Latest Patents
Edward Richter holds a patent for "Dynamic data conversion for network computer systems." This invention involves a computing node that includes a processor, conversion circuitry, and routing circuitry. The processor generates a data signal based on the function of an application executed by the computing system. The data signal has a first precision format and a first sparse representation. The conversion circuitry receives the data signal from the processor and generates a converted data signal by converting the first precision format to a second precision format and converting the first sparse representation to a second sparse representation. The routing circuitry then transmits the converted data signal to the switch circuitry of the computing system. This patent showcases his expertise in improving data handling in complex computing environments.
Career Highlights
Edward Richter is currently employed at Xilinx, Inc., a company known for its innovative solutions in the field of programmable logic devices. His work at Xilinx has allowed him to apply his inventive skills to real-world applications, contributing to advancements in technology.
Collaborations
Throughout his career, Edward has collaborated with talented individuals such as Paul M Hartke and Philip Bryn James-Roxby. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Edward Richter's contributions to dynamic data conversion have made a significant impact in the computing industry. His patent reflects his commitment to enhancing technology and improving data processing systems. His work continues to inspire future innovations in the field.