Making a good decision is not enough: it is also important to assess how certain that decision is. A research group led by Gergő Orbán at the HUN-REN Wigner Research Centre for Physics, working with Argentinian partners, has developed a method that improves how deep-learning systems represent uncertainty. The findings could make AI-based image processing more reliable, which may be particularly important in areas such as medical imaging, while also helping researchers gain a more precise understanding of human vision.

Ilya Vekhter (Louisiana State University, USA) will give a talk entitled "Known unknowns: boundaries, interfaces, and disorder in topological electronic matter" at the Wigner Colloquium on Tuesday, 3 November, at 2 p.m.

Place: KFKI Campus, Bldg. 1, Conference room, and also on Zoom

Abstract: