Company Filing History:
Years Active: 2023
Title: Christopher Mattern: Innovator in Neural Network Systems
Introduction
Christopher Mattern is a notable inventor based in London, GB. He has made significant contributions to the field of neural networks, particularly through his innovative patent related to gated linear networks. His work is instrumental in advancing the capabilities of machine learning systems.
Latest Patents
Christopher Mattern holds a patent for "Gated linear networks - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a neural network system comprising one or more gated linear networks." This patent outlines a system that includes one or more gated linear networks, each corresponding to a respective data value in an output data sample. The system is designed to generate a network probability output that defines a probability distribution over possible values for the corresponding data value. Each gated linear network comprises multiple layers, including gated linear layers, with nodes configured to process inputs and generate probability outputs.
Career Highlights
Christopher Mattern is currently employed at DeepMind Technologies Limited, a leading company in artificial intelligence research and development. His work at DeepMind focuses on enhancing neural network architectures and their applications in various domains.
Collaborations
Throughout his career, Christopher has collaborated with talented individuals such as Agnieszka Grabska-Barwinska and Peter Toth. These collaborations have contributed to the advancement of innovative solutions in the field of artificial intelligence.
Conclusion
Christopher Mattern is a prominent inventor whose work in gated linear networks is paving the way for advancements in neural network systems. His contributions at DeepMind Technologies Limited highlight his commitment to innovation in artificial intelligence.