This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Robert Bosch. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Thomas Branz: Innovator in Neural Network Training
Introduction
Thomas Branz is a notable inventor based in Esslingen, Germany. He has made significant contributions to the field of artificial intelligence, particularly in the training of neural networks. His innovative approach has the potential to enhance the performance of technical systems through improved data processing.
Latest Patents
Thomas Branz holds a patent for a "Method and device for training a neural network." This patent describes a method for training a first neural network that is designed to ascertain an output signal based on sensor signals from a technical system. The method involves receiving a sensor signal during the operation of the technical system, ascertaining a first output signal through the first neural network, and training the first neural network based on a second output signal from a second neural network with a different architecture.
Career Highlights
Branz is currently employed at Robert Bosch, a leading global supplier of technology and services. His work at Bosch focuses on advancing neural network technologies, which are crucial for the development of intelligent systems. With a patent portfolio that includes 1 patent, he is recognized for his innovative contributions to the field.
Collaborations
Throughout his career, Thomas Branz has collaborated with talented individuals such as Markus Hanselmann and Andreas Genssle. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Thomas Branz is a pioneering inventor whose work in neural network training is shaping the future of artificial intelligence. His contributions at Robert Bosch and his innovative patent demonstrate his commitment to advancing technology.