Peter Toth

Title: The Innovations of Peter Toth

Introduction

Peter Toth is a notable inventor based in London, GB. He has made significant contributions to the field of neural networks, particularly through his innovative patent. His work exemplifies the intersection of technology and creativity, showcasing the potential of advanced computational systems.

Latest Patents

Peter Toth holds a patent for "Gated linear networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for a neural network system comprising one or more gated linear networks. The system includes one or more gated linear networks, each corresponding to a respective data value in an output data sample. It is configured to generate a network probability output that defines a probability distribution over possible values for the corresponding data value. Each gated linear network comprises a plurality of layers, including gated linear layers, where each node is designed to receive multiple inputs and side information, combine these inputs according to defined weights, and generate a node probability output.

Career Highlights

Peter Toth is currently associated with DeepMind Technologies Limited, a leading company in artificial intelligence research. His work at DeepMind has allowed him to explore and develop cutting-edge technologies that push the boundaries of what is possible in machine learning and neural networks.

Collaborations

Peter has collaborated with talented individuals such as Agnieszka Grabska-Barwinska and Christopher Mattern. These collaborations have fostered an environment of innovation and creativity, contributing to the advancement of their projects.

Conclusion

Peter Toth's contributions to the field of neural networks through his patent and work at DeepMind Technologies Limited highlight his role as an influential inventor. His innovative approaches continue to shape the future of artificial intelligence and machine learning.