CoSy seminar: "Algebra & Geometry in Data Science & AI"

Everyone is welcome and the first 40 people to register will be treated to a free lunch sandwich. If you do not want lunch, you are still welcome to join.

Register for a lunch sandwich (deadline: Sunday 24 November).

Abstract: Analyzing big and structured data and understanding modern AI tools require a vast interdisciplinary mathematical toolbox. An intricate geometry governs most data science applications and optimization tasks. This talk highlights how nonlinear algebra can be used to investigate these geometric structures. The tools we discuss are algebraic geometry at heart but driven by applications and interactions with other mathematical disciplines. The applications we focus on in this talk are machine learning with neural networks, 3D reconstruction in computer vision, and maximum likelihood estimation in statistics.

This is a lecture in the seminar series held by CIM (Centre for Interdisciplinary Mathematics).