Machine Learning for Physics, Physics for Machine Learning

Presentation of Prof. Dr. Bernd Brügmann, Institute of Theoretical Physics and MSCJ, within the Physical Colloquia
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Start
End
Type of event
Physikalisches Kolloquium
Venue
ABBEANUM
Fröbelstieg 1, Hörsaal 1
07743 Jena
Google Maps site planExternal link
Organizer
Physikalisch-Astronomische Fakultät
Language of the event
English
Wheelchair access
Yes
Public
Yes

Brügmann, Bernd (1962)

Image: Fotostudio Gebhardt Jena

Prof. Dr. Bernd Brügmann
Theoretisch-Physikalisches Institut und MSCJ

Machine Learning for Physics, Physics for Machine Learning

The Physics Nobel Prize 2024 was awarded "for foundational discoveries and inventions that enable machine learning with artificial neural networks”. While the enormous success of machine learning methods is well known and supported by numerous applications, the connections to physics may be less obvious. This talk gives an elementary introduction to the interplay of machine learning and physics, from the point of view of theoretical physics. What is an artificial neural
network? What are the basic algorithms? What is the connection to physics? As the press release stated, this year's laureates did indeed use physics to find patterns in information.

Übersicht über alle Kolloquien im Wintersemester 2024/25 de