

Wasserstein gradient flows and applications to sampling in machine learning - lecture 1
De Anna Korba


Wasserstein gradient flows and applications to sampling in machine learning - lecture 2
De Anna Korba
De Hang Li
Apparaît dans la collection : 3rd Huawei-IHES Workshop on Mathematical Theories for Information and Communication Technologies
We envision that with artificial intelligence technologies the telecommunication, enterprise, and consumer industries, in which Huawei has its main business, will enter a completely new horizon; specifically, all the products and services will be revolutionized to become more intelligent. Huawei is indeed pushing the frontier of research and developmen t of technologies in those fields and has accomplished significant achievements. In this talk, I will introduce some of the best practices as well as the technology breakthroughs made in Huawei, with regard to building better telecommunication networks, better enterprise management, and better mobile devices. Specifically, I will describe the accomplishments made at research projects of Huawei Noah’s Ark Lab. Finally, I will summarize the challenges and important research directions in artificial intelligence, for which more research, particularly fundamental research, is needed.