This inventor holds 2 USPTO granted patents. Top assignee: Brown University. Active years: 2019-2023.
Company Filing History:
Years Active: 2019-2023
Title: Thomas Serre: Innovator in Neural Networks and Behavior Classification
Introduction
Thomas Serre is a prominent inventor based in East Greenwich, RI (US). He has made significant contributions to the fields of neural networks and automated behavior classification. With a total of 2 patents, Serre's work is at the forefront of technological advancements in artificial intelligence.
Latest Patents
Serre's latest patents include innovative methods that enhance the capabilities of computer systems. One of his notable patents is for a method involving recurrent neural circuits. This method provides a computer system that includes a processor and memory, executing a process that converts a recurrent circuit model into a recurrent neural network, which can be optimized using gradient descent. Another significant patent is for a method and system for automated behavior classification of test subjects. This system utilizes multiple video cameras to capture the behavior of test subjects, analyzing the video with a neural network to identify and classify observable behaviors.
Career Highlights
Thomas Serre is affiliated with Brown University, where he continues to push the boundaries of research in artificial intelligence. His work has garnered attention for its practical applications in various fields, including behavioral science and machine learning.
Collaborations
Serre collaborates with talented individuals such as Youssef Barhomi and Zachary Nado, contributing to a dynamic research environment that fosters innovation.
Conclusion
Thomas Serre's contributions to neural networks and behavior classification exemplify the impact of innovative thinking in technology. His patents reflect a commitment to advancing artificial intelligence, making him a notable figure in the field.