Samuel Ritter

Title: Innovations of Samuel Ritter

Introduction

Samuel Ritter is an accomplished inventor based in London, GB. He has made significant contributions to the field of technology, particularly in the area of neural networks and memory systems. His innovative approach has led to the development of a unique patent that enhances the functionality of artificial intelligence systems.

Latest Patents

Samuel Ritter holds a patent titled "Selecting actions by reverting to previous learned action selection policies." This patent encompasses methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a system output using a remembered value of a neural network hidden state. The system comprises an external memory that maintains context experience tuples, which include a key embedding of context data and a value of a hidden state of a neural network at the respective previous time step. The neural network is designed to receive a system input and a remembered value of the hidden state, ultimately generating a system output.

Career Highlights

Samuel Ritter is currently employed at DeepMind Technologies Limited, where he applies his expertise in artificial intelligence and machine learning. His work focuses on enhancing the capabilities of neural networks, making them more efficient and effective in processing information.

Collaborations

Samuel has collaborated with notable colleagues, including Xiao Jing Wang and Siddhant Jayakumar. Their combined efforts contribute to the advancement of technology and innovation within their field.

Conclusion

Samuel Ritter's contributions to the field of artificial intelligence through his patent and work at DeepMind Technologies Limited highlight his role as a leading inventor. His innovative solutions continue to shape the future of technology.