This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Cognizant Technology Solutions U.S. Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: The Innovative Mind of Garrett Bingham
Introduction
Garrett Bingham is an accomplished inventor based in Oakland, CA. He has made significant contributions to the field of deep learning through his innovative patent. His work focuses on enhancing the performance of neural networks, showcasing his expertise in the intersection of technology and artificial intelligence.
Latest Patents
Garrett Bingham holds a patent for a "System and method for generating parametric activation functions." This invention describes a technique for customizing activation functions automatically, resulting in reliable improvements in the performance of deep learning networks. The method employs evolutionary search to discover the general form of the function, while gradient descent is utilized to optimize its parameters for different parts of the network and throughout the learning process. This new approach enables the discovery of novel parametric activation functions that outperform previous ones by utilizing a flexible search space capable of representing activation functions in any computation graph. Consequently, the activation functions are tailored to both time and space for a specific neural network architecture.
Career Highlights
Garrett is currently employed at Cognizant Technology Solutions U.S. Corporation, where he continues to push the boundaries of innovation in technology. His work has garnered attention for its potential to revolutionize how deep learning networks operate.
Collaborations
Garrett collaborates with notable professionals in the field, including Risto Miikkulainen, further enhancing the impact of his work.
Conclusion
Garrett Bingham's contributions to the field of deep learning through his innovative patent demonstrate his commitment to advancing technology. His work not only improves neural network performance but also sets the stage for future innovations in artificial intelligence.
