Company Filing History:
Years Active: 2017
Title: Christopher John McCormick: Innovator in Neural Network Classifiers
Introduction
Christopher John McCormick is a notable inventor based in Santa Barbara, California. He has made significant contributions to the field of neural network classifiers, particularly through his innovative patent. His work focuses on enhancing hardware capabilities for advanced machine learning applications.
Latest Patents
McCormick holds a patent titled "Hardware enhancements to radial basis function with restricted coulomb energy learning and/or k-Nearest Neighbor based neural network classifiers." This invention describes a nonlinear neuron classifier that includes a neuron array with multiple neuron chips. Each chip processes input vectors of varying lengths and depths, allowing for efficient comparison against stored vectors. The design incorporates an NSP flag to optimize neuron participation in vector calculations and a virtual content addressable memory flag for rapid data retrieval. This innovation aims to improve the speed and efficiency of neural network operations.
Career Highlights
Christopher McCormick is currently associated with In2h2, where he continues to develop cutting-edge technologies in the field of artificial intelligence. His work has positioned him as a key player in advancing neural network methodologies.
Collaborations
McCormick has collaborated with notable colleagues, including Bruce Kent McCormick and William Harry Nagel, contributing to various projects that enhance the capabilities of neural network systems.
Conclusion
Christopher John McCormick's contributions to neural network classifiers demonstrate his innovative spirit and commitment to advancing technology. His patent reflects a significant step forward in the field, showcasing the potential for improved machine learning applications.