Events - Page 13

Swimming microorganisms and artificial microswimmers use environmental cues to influence their dynamics, helping them to improve transport, reach specific flow regions, or avoid harmful conditions. Although plankton navigate turbulent flows in nature, it is poorly understood how they do so efficiently. By combining Reinforcement Learning with analytical perturbation theory, we investigate how microswimmers can sense environmental signals and adjust a few control parameters to navigate turbulent flows. This approach helps identify effective navigation strategies for various tasks. We illustrate this with two key tasks: avoiding high-strain regions and navigating against gravity, both essential for plankton in the ocean.
 

C*-seminar by Nadia Larsen.

Camilla got her PhD in Biostatistics from the University of Cambridge in 2023, where she worked on the development of Bayesian methodology for joint network modelling of high-dimensional data, with applications in autoimmune disease and cancer omics. She is currently a DSTrain Postdoctoral Fellow at The Norwegian Centre for Knowledge-driven Machine Learning Integreat, at the University of Oslo.

QOMBINE seminar by Jonas Eidesen (University of Oslo)

 

C*-seminar by Michelle Göbel.

AI has made enormous progress along different domains in the last decades, from playing complex games, to analyzing and generating images and text. However, we have so far not seen the same impressive capabilities in AI for robotics. Why is that? In this presentation, I will talk about a few of the problems that makes AI for robotics a unique challenge, and what we at the group for Robotics and Intelligent Systems (ROBIN) are doing to address those challenges.

C*-seminar by Johannes Christensen.

Doctoral candidate Torstein Sæter at the Department of Mathematics will be defending the thesis Elastohydrodynamic and viscoplastic thin film flows for the degree of Philosophiae Doctor.

The third National Mathematicians meeting will be held in Oslo, September 2024. 

Doctoral candidate Thomas Minotto at the Department of Mathematics will be defending the thesis Statistical interactions for the immune receptor binding problem for the degree of Philosophiae Doctor.

With the fast-paced evolution of data sciences, a deeper grasp of probabilistic methods is essential. This course studies high-dimensional probability, with applications in data sciences, focusing on random vectors, matrices, and projections in large dimensions.

C*-seminar by Are Austad (University of Oslo)

The section 4 seminar will be held Tuesdays 10:15–11:00 in room 1020

I will explain how to extend the concept of spin structures from vector bundles to complexes over a scheme (or algebraic stack) X outside of characteristic 2. For a complex E on X with an oriented quadratic structure one obtains an associated Z/2Z-gerbe over X obstructing the existence of a spin structure on E. I will also touch on an expected alternative definition of spin structures on complexes using derived Clifford algebras. One application of the concepts presented is to give a refinement of the virtual structure sheaf of Oh-Thomas in Donaldson-Thomas theory of Calabi-Yau fourfolds.

SCV conference 2024, remembering Nils Øvrelid

Doctoral candidate Felix Thimm at the Department of Mathematics will be defending the thesis
Factorization and Wall-Crossing in Equivariant K-Theoretic Donaldson-Thomas Theory for the degree of Philosophiae Doctor.

Doctoral candidate Arturs Berzins at the Department of Mathematics will be defending the thesis Neural Representations in Geometry for the degree of Philosophiae Doctor.