San Jose, CA, United States of America

Kenneth R Buckmann


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 1996

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1 patent (USPTO):Explore Patents

Title: **Kenneth R. Buckmann: Innovator in Neural Network Classification Technology**

Introduction

Kenneth R. Buckmann is an inventor based in San Jose, California, known for his work in developing advanced neural network technologies. With a notable patent to his name, Buckmann has made significant contributions in the field of distance calculation and classification systems.

Latest Patents

Buckmann holds a patent for a "Distance Calculating Neural Network Classifier Chip and System." This innovative chip is designed to accept high-dimensional input pattern vectors, accommodating up to 256 five-bit elements per vector. The chip compares the input vector against up to 1024 prototype vectors stored on-chip. It calculates the distances between the input and prototype vectors, identifying up to 64 classes related to those prototypes. Furthermore, it employs a probabilistic model based on Parzen windows to resolve classifications when multiple prototype vectors fire, ensuring accurate identification through trained parameters.

Career Highlights

Currently, Kenneth R. Buckmann is employed at Intel Corporation, a powerhouse in technological innovations. His role involves pioneering work in developing advanced classifier systems that leverage neural network principles. Buckmann's expertise in distance measurement and classification algorithms positions him as a valuable asset in the tech industry.

Collaborations

Throughout his career, Buckmann has collaborated with talented colleagues, including Chin S. Park and Mark A. Holler. Together, they have contributed to advancing the field of neural networks and classification technology, enhancing the capabilities of systems that rely on accurate data processing and categorization.

Conclusion

Kenneth R. Buckmann's innovative spirit and technical acumen in developing a distance calculating neural network classifier chip reflect his dedication to advancing technology. His contributions continue to play a crucial role in the evolution of intelligent systems, leading the way for future innovations in classification and data analysis.

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