This inventor holds 2 USPTO granted patents. Top assignees: International Business Machines Corporation, Wisconsin Alumni Research Foundation. Active years: 2021-2022.
Company Filing History:


Years Active: 2021-2022
Title: Tuan Dinh: Innovator in Artificial Neural Networks
Introduction
Tuan Dinh is a notable inventor based in Madison, WI (US), recognized for his contributions to the field of artificial intelligence and machine learning. He holds 2 patents that showcase his innovative approaches to training artificial neural networks and unsupervised learning.
Latest Patents
One of Tuan Dinh's latest patents is titled "Training system for artificial neural networks having a global weight constrainer." This invention presents an architecture for training the weights of artificial neural networks by incorporating a global constraint that modifies neuron weights during each iteration. This method not only utilizes the back-propagated error but also applies a global constraint based on the values of all weights at that iteration. The complexity of this global constraint is managed through a constrained gradient descent approach, which approximates the error gradient as a plane.
Another significant patent is "Unsupervised learning of three-dimensional visual alphabet." This invention describes methods for intelligent unsupervised learning of visual alphabets using one or more processors. It enables the learning of a visual three-dimensional (3D) alphabet from images through machine learning operations, utilizing a set of 3D primitives to represent the visual 3D alphabet.
Career Highlights
Throughout his career, Tuan Dinh has worked with prominent organizations, including IBM and the Wisconsin Alumni Research Foundation. His experience in these institutions has contributed to his expertise in artificial intelligence and machine learning.
Collaborations
Tuan Dinh has collaborated with talented individuals such as Thanh Lam Hoang and Albert Akhriev, further enhancing his innovative work in the field.
Conclusion
Tuan Dinh's contributions to artificial intelligence through his patents reflect his commitment to advancing technology in meaningful ways. His work continues to influence the development of machine learning and neural networks.