Sergey Bartunov

Title: Sergey Bartunov: Innovator in Neural Network Technologies

Introduction

Sergey Bartunov is a prominent inventor based in Moscow, Russia. He has made significant contributions to the field of neural networks, particularly in augmenting their capabilities with external memory. His innovative work has led to the development of two notable patents.

Latest Patents

One of Bartunov's latest patents is titled "Augmenting Neural Networks with External Memory." This patent describes methods, systems, and apparatuses, including computer programs encoded on computer storage media, for enhancing neural networks with external memory. The system features a controller neural network that includes a Least Recently Used Access (LRUA) subsystem. This subsystem is designed to maintain a usage weight for each memory location and generate reading and writing weights based on previous interactions.

Another significant patent is "Scalable and Compressive Neural Network Data Storage System." This invention outlines a system for compressed data storage utilizing a neural network. It comprises a memory with multiple locations for data storage, a query neural network for processing input data, and a memory read and write system that operates based on generated weightings associated with memory locations.

Career Highlights

Sergey Bartunov is currently employed at DeepMind Technologies Limited, where he continues to push the boundaries of artificial intelligence and neural network research. His work is instrumental in developing advanced systems that enhance data processing and storage capabilities.

Collaborations

Bartunov has collaborated with notable colleagues in the field, including Timothy Paul Lillicrap and Jack William Rae. Their combined expertise contributes to the innovative projects at DeepMind Technologies Limited.

Conclusion

Sergey Bartunov is a key figure in the advancement of neural network technologies. His patents reflect a deep understanding of artificial intelligence and its potential applications. His contributions are paving the way for future innovations in the field.