Company Filing History:
Years Active: 2024-2025
Title: Jorn Peters - Innovator in Neural Network Technology
Introduction
Jorn Peters is a prominent inventor based in Amsterdam, Netherlands. He has made significant contributions to the field of neural networks, holding a total of 3 patents. His work focuses on advancing the capabilities of artificial intelligence through innovative methods and devices.
Latest Patents
Jorn Peters' latest patents include a "Device and method for training a neuronal network" and a "Device and method for generating a compressed network from a trained neural network." The first patent outlines a method for training a neural network that includes a first layer with multiple filters to produce feature maps. This method involves receiving input signals, determining outputs based on parameters, and calculating loss values in an unsupervised manner to adapt the network's parameters. The second patent describes a process for generating a compressed network from a trained neural network, which includes creating a compressing map and comparing outputs from both networks to enhance training.
Career Highlights
Jorn Peters is currently employed at Robert Bosch GmbH, where he applies his expertise in neural networks to develop cutting-edge technologies. His innovative approaches have positioned him as a key figure in the advancement of AI applications.
Collaborations
Jorn has collaborated with notable colleagues, including Max Welling and Thomas Andy Keller, contributing to the development of advanced neural network technologies.
Conclusion
Jorn Peters is a distinguished inventor whose work in neural networks continues to shape the future of artificial intelligence. His patents reflect a commitment to innovation and excellence in technology.