Seminar: Machine Learning meets Materials Science

  • Date: 30 May 2024, 10:00–11:00
  • Location: Online event, Zoom: https://uu-se.zoom.us/j/63963766434
  • Type: Seminar
  • Lecturer: Hugo U. R. Strand and Saikat Chatterjee.
  • Organiser: Division of Materials Theory, Department of Physics and Astronomy
  • Contact person: Maryna Pankratova

Materials Science side:

Hugo U. R. Strand, Senior Lecturer, School of Science and Technology, Örebro University

Title:

Machine learning with matrix and tensor cross interpolation for open quantum systems

Abstract:

The decoherence in open quantum mechanical systems, connected to an environment, is central for both quantum computing and quantum materials. When simulated on classical hardware this give rise to a class of machine learning problems, with perfect data and exponentially large dimensions. I will discuss how the rank revealing techniques, matrix and tensor cross interpolation, have enabled us to make progress in this context.

Machine learning side:

Saikat Chatterjee, Associate professor, Department of Information Science and Engineering, School of Electrical Engg and Computer Science, KTH, and a Fellow of Digital Futures.

Title: What is Intelligence?

Abstract:

Perhaps the success of Deep Neural Networks or Deep Learning led to the current high interest in Artificial Intelligence systems. Deep Learning shown a remarkable performance for object recognition (Image processing or computer vision), speech and language processing (natural language processing) – the two most important tasks that require intelligence and hence humans are good at those two tasks. All of you know ChatGPT success. Now, in this seminar, we will go through some experiments (as a bachelor thesis project) and try to feel what ‘intelligence’ means. It is Ok to be a bit interactive over Zoom because audience has to take part in the experiments.

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