Faculty of Physics and Astronomy

Physics Colloquium on January 13: ASSOCIATIONS, MODELS & MACHINE LEARNING - A CLASSIFICATION OF THE NOBEL PRIZE IN PHYSICS

06.01.25 | Physics Colloquium, Event

On Monday, January 13, 2025, at 12:00 c.t., the next date of our physics colloquium will take place this winter semester.

Prof. Dr. Wolfgang Rhode, Professor of Astroparticle Physics at the Technical University of Dortmund, will present the 2024 Nobel Prize in Physics. Rhode conducts research into new methods in data analysis, in particular machine learning as part of artificial intelligence. The title of his lecture is "ASSOCIATIONS, MODELS AND MACHINE LEARNING: A CLASSIFICATION OF THE NOBEL PRIZE IN PHYSICS AWARDED TO JOHN HOPFIELD AND GEOFFREY HINTON FOR GROUNDBREAKING DISCOVERIES IN MACHINE LEARNING WITH NEURAL NETWORKS".

In order to understand the world and, especially, the results of our experiments and formulate theories, we must have the methods of classification and regression at our disposal. For a long time, only the human brain possessed these essential components of intelligence. In the age of computers and algorithms, the question arises of to what extent machines could also take on this task. Inspired by the functioning of the brain, people began to test potentially suitable algorithms and develop suitable learning procedures and properties, which have led to astonishing successes today. This talk will discuss how the physicists and Nobel Prize winners John Hopfield (associative memory) and Geoffrey Hinton (backpropagation) were able to make a decisive technical and methodological contribution to this development.

Abstract of the lecture by Prof. Rhode

The introduction will be given by Prof. Dr. Julia Tjus.

The faculty cordially invites all interested parties. The event will take place in lecture hall HZO 20.

All dates of the Physics Colloquium can be found here.

Picture: © Rhode

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