This inventor holds 5 USPTO granted patents and 1 published patent application, plus 1 CIPO patent. Top assignees: Nestor, Inc., Other. Active years: 1988-1995.
Location History:
- Barrington, RI (US) (1990)
- Providence, RI (US) (1988 - 1995)
Company Filing History:
Years Active: 1988-1995
Title: Christopher L. Scofield: Innovator in Neural Network Technology
Introduction
Christopher L. Scofield is a notable inventor based in Barrington, RI (US). He has made significant contributions to the field of neural networks and adaptive classification systems. With a total of 5 patents to his name, Scofield's work has advanced the understanding and application of machine learning technologies.
Latest Patents
Among his latest patents is a method and apparatus for adaptive classification. This invention involves a neural network designed for pipeline operation, allowing for rapid classification of input vectors. During the training mode, multiple training input features are presented to the neural network, which concurrently computes distances between these features and a set of prototype weight values. The system is capable of operating in a probabilistic classification mode, enhancing its efficiency and accuracy. Another significant patent is a parallel, multi-unit, adaptive, nonlinear pattern class separator. This system is designed to separate and identify classes of patterns or events that are not necessarily linearly separable. It innovatively creates new prototypes during the training process when prior prototypes fail to classify an input pattern correctly.
Career Highlights
Christopher has worked with various companies throughout his career, including Nestor, Inc. His experience in these organizations has contributed to his expertise in neural networks and adaptive systems.
Collaborations
He has collaborated with notable individuals in the field, including Leon N. Cooper and Charles Elbaum. Their collective efforts have furthered advancements in technology and innovation.
Conclusion
Christopher L. Scofield's contributions to neural network technology and adaptive classification systems have made a lasting impact in the field. His innovative patents and collaborations highlight his role as a significant figure in the realm of machine learning.