San Diego, CA, United States of America

Richard L Kasbo


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 40(Granted Patents)


Company Filing History:


Years Active: 1990

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1 patent (USPTO):Explore Patents

Title: The Innovations of Richard L. Kasbo

Introduction

Richard L. Kasbo is an accomplished inventor based in San Diego, California. He is known for his significant contributions to the field of processing technology, particularly in simulating neuron networks. His innovative work has led to the development of a unique array processor that enhances computational efficiency.

Latest Patents

Richard L. Kasbo holds a patent for an array processor, which is a four-stage pipelined processor designed to efficiently process the most common operations performed in simulating neuron networks. The architecture of this processor includes a program memory and address generator in the first stage, data memories and address generators in the second stage, an input function unit in the third stage, and an output function unit in the fourth stage. This design allows for simultaneous communication between various stages through independent buses, significantly reducing the circuitry needed while maintaining high-speed performance in pipelined mode.

Career Highlights

Richard L. Kasbo has made notable advancements in processing technology during his career. He works at Science Applications International Corporation, where he continues to innovate and contribute to the field. His work has been instrumental in enhancing the capabilities of processors used in complex simulations.

Collaborations

Throughout his career, Richard has collaborated with esteemed colleagues, including George A. Works and William Leslie Hicks. These collaborations have further enriched his work and contributed to the development of advanced processing technologies.

Conclusion

Richard L. Kasbo's contributions to the field of processing technology, particularly through his innovative array processor, have made a significant impact on simulating neuron networks. His work exemplifies the importance of innovation in advancing technology and improving computational efficiency.

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