NUS Colloquium Series: Machine Learning and Learning Systems by E. Zuazua

NUS Colloquium Series: Machine Learning and Learning Systems by E. Zuazua

Event: NUS Colloquium Series, National University of Singapore
Date: Fri. October 02, 2026

Seminar: Machine Learning and Learning Systems
Speaker: Prof. Enrique Zuazua. FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

Abstract. Machine Learning is creating a new universe of systems that compute, learn, interact, and act. Understanding their behavior raises fundamental mathematical questions about representation, inference, dynamics, optimization, and control.

This lecture introduces a mathematical framework for studying high-dimensional, adaptive, and interconnected intelligent systems. I will discuss examples from applied mathematics: neural networks viewed as dynamical systems, diffusion models and time reversal, neural methods for scientific computing, and hybrid modelling that combines physical knowledge with data-driven components.

The aim is to show how classical mathematics is contributing to the foundations of Artificial Intelligence, while intelligent learning systems themselves open new questions for mathematics.

WHEN
Fri. October 02, 2026 at 15:00H (local time)

WHERE
On-site. National University of Singapore (NUS) Level 4, Block S17.
S17 #04-06. Seminar Room 1
10 Lower Kent Ridge Road, Singapore 119076

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See more at the official page of the event