b=M2L

The Barcelona Mathematics and Machine Learning (b=M²L) Colloquium Series aims to bring to a general audience of mathematicians, computer scientists and interested students the interactions between mathematics and machine learning, as well as their latest developments.

What are the mathematics behind machine learning? What can machine learning do for mathematicians? Sign up to attend the 2026 colloquia, including Adi Shamir, Carlos Simpson and Charles Fefferman. Check the 2024 and 2023 editions and our YouTube channel to watch again the talks by Marc Lackenby, Elizabeth Munch, Jürgen Jost, Laurent Lafforgue, Gitta Kutyniok, Shing-Tung Yau, Kristin Lauter and Geordie Williamson.

This activity is organized by the Department of Mathematics at the Universitat Autònoma de Barcelona with the goal of gathering the Barcelona universities and research centres with the global community.

Everyone is welcome to join and contribute! Contact us.

news

Jan 1, 2026	The speakers of the 2026 edition have been anounced.
Feb 2, 2025	We have had to postpone the talk by Charles Fefferman. If you sign up, you will receive information about Kristin Lauter’s talk on March 27th. This will be the opening of the 2025 edition of the b=M²L colloquium series. In the meantime, you can check the videos of previous talks on our Youtube channel.
Apr 18, 2024	Last talk of this year’s b=M²L colloquium series: Shing-Tung Yau, who will talk about the geometric understanding of deep learning.
Mar 11, 2024	We continue the b=M²L colloquium series 2024 with Gitta Kutyniok, who will talk about ‘Reliability of Artificial Intelligence, Chances and Challenges’.
Feb 8, 2024	The 2024 edition of the b=M²L colloquium series will be opened by Fields medalist Laurent Lafforgue, who will talk about machine learning and topos theory.