This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Swisscom Ag. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: Kamil Bennani-Smires: Innovator in Neural Architecture Search
Introduction
Kamil Bennani-Smires is a notable inventor based in Bern, Switzerland. He has made significant contributions to the field of neural architecture search, a crucial area in artificial intelligence and machine learning. His innovative work has led to the development of methods and systems that enhance the efficiency of neural networks.
Latest Patents
Kamil holds a patent for "Methods and systems for neural architecture search." This patent outlines a computer-implemented approach to neural architecture search, which is utilized to create a neural network tailored for specific tasks. The invention involves obtaining a computational graph that consists of multiple nodes, edges, and associated weightings. Within this graph, various candidate models are represented as subgraphs. The method allows for the sequential training of selected subgraphs, with updates to the weightings being made in response to the training process. Importantly, the updates for shared weightings across subgraphs are managed based on their significance to other subgraphs.
Career Highlights
Kamil Bennani-Smires is currently employed at Swisscom AG, where he continues to push the boundaries of technology and innovation. His work at Swisscom AG has positioned him as a key player in the advancement of neural network methodologies.
Collaborations
Kamil collaborates with talented individuals such as Yassine Benyahia and Claudiu Musat. These partnerships foster a creative environment that enhances the development of innovative solutions in their field.
Conclusion
Kamil Bennani-Smires is a pioneering inventor whose work in neural architecture search is shaping the future of artificial intelligence. His contributions are vital to the ongoing evolution of technology in this domain.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
