- Beginn
- Ende
- Veranstaltungsart
- Physikalisches Kolloquium
- Ort
-
ABBEANUM
Fröbelstieg 1, Hörsaal 1
07743 Jena
Google Maps – LageplanExterner Link - Veranstalter
-
Physikalisch-Astronomische Fakultät
- Veranstaltungssprache
- Englisch
- Barrierefreier Zugang
- ja
- Öffentlich
- ja
Machine Learning for Physics, Physics for Machine Learning
Veranstaltungseckdaten
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.