Company Filing History:
Years Active: 2020-2021
Title: Bryson Greenwood: Innovator in Neural Network Generation
Introduction
Bryson Greenwood is an accomplished inventor based in Austin, TX. He has made significant contributions to the field of artificial intelligence, particularly in the area of neural networks. With a total of 2 patents, Greenwood is recognized for his innovative approaches to technology.
Latest Patents
One of Bryson Greenwood's latest patents is titled "Automated neural network generation using fitness estimation." This method involves iteratively generating a neural network by creating a matrix representation for each neural network in a population. Each matrix representation consists of rows of values, where each row corresponds to a set of layers in the neural network, and each value specifies a hyperparameter of those layers. The process includes providing these matrix representations as input to a relative fitness estimator, which is trained to produce estimated fitness data for the neural networks. This estimated fitness data is based on the expected performance of the neural networks as predicted by the estimator. The method further includes generating a subsequent population of neural networks based on the estimated fitness data. When a termination condition is met, the process outputs data identifying a neural network as a candidate for further development.
Career Highlights
Bryson Greenwood is currently employed at SparkCognition, Inc., where he continues to push the boundaries of artificial intelligence and machine learning. His work focuses on enhancing the efficiency and effectiveness of neural networks, contributing to advancements in various applications.
Collaborations
One of his notable coworkers is Tyler S McDonnell, with whom he collaborates on various projects within the company.
Conclusion
Bryson Greenwood's innovative work in neural network generation showcases his expertise and commitment to advancing technology. His contributions are paving the way for future developments in artificial intelligence.