This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Deepmind Technologies Limited. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Archit Gupta - Innovator in Neural Network Applications
Introduction
Archit Gupta is a prominent inventor based in London, GB. He has made significant contributions to the field of data processing through his innovative patent. His work focuses on enhancing bandwidth capabilities using advanced neural network techniques.
Latest Patents
Archit Gupta holds a patent titled "Bandwidth extension of incoming data using neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for bandwidth extension. One of the key methods involves obtaining a low-resolution version of an input, which consists of a first number of samples at a first sample rate over a specified time period. From this low-resolution input, a high-resolution version is generated, comprising a larger number of samples at a higher sample rate over the same time period. The process includes generating a representation of the low-resolution input, processing it through a conditioning neural network to create a conditioning input, and then using a generative neural network to produce the high-resolution version.
Career Highlights
Archit Gupta is currently associated with DeepMind Technologies Limited, where he applies his expertise in neural networks and data processing. His innovative approach has positioned him as a key player in the advancement of technology in this domain.
Collaborations
He has collaborated with notable colleagues, including Ioannis Alexandros Assael and Thomas Chadwick Walters, contributing to various projects that push the boundaries of technology.
Conclusion
Archit Gupta's work exemplifies the intersection of innovation and technology, particularly in the realm of neural networks and data bandwidth enhancement. His contributions are paving the way for future advancements in this critical area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
