San Diego, CA, United States of America

George A Works


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 George A. Works

Introduction

George A. Works is a notable inventor based in San Diego, California. He has made significant contributions to the field of technology, particularly in the development of advanced processing systems. His work focuses on enhancing the efficiency of operations in simulating neuron networks.

Latest Patents

George A. Works holds a patent for an innovative Array Processor. This four-stage pipelined processor is designed to provide efficient processing for the most common operations performed in simulating neuron networks. The architecture 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. The unique bus architecture allows for simultaneous communication between the various stages, enabling quick data transfer from the data memories to the function unit. This design significantly reduces the circuitry required for the necessary buses while allowing the processor to operate without speed limitations in pipelined mode.

Career Highlights

George A. Works is associated with Science Applications International Corporation, where he has contributed to various technological advancements. His work has been instrumental in pushing the boundaries of processing capabilities in neural network simulations.

Collaborations

George has collaborated with notable colleagues, including William Leslie Hicks and Richard L. Kasbo. Their combined expertise has fostered innovation and development in their respective fields.

Conclusion

George A. Works is a distinguished inventor whose contributions to technology, particularly in processing systems, have made a lasting impact. His innovative designs continue to influence the field of neural network simulations.

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