About
The quest to understand the fundamental constituents of the universe is at the heart of particle physics. However, the complexity of particle interactions, the volume of data produced by experiments, and the intricacy of theoretical models present significant challenges to advancements in this field. In recent years, artificial intelligence has emerged as a transformative tool for overcoming these challenges, offering new pathways to accelerate the pace of discovery and fostering a deeper understanding of the fundamental forces of nature. This talk aims to elucidate the pivotal role AI plays in particle physics, from optimizing detector design and operation to analyzing vast datasets and validating theoretical models..
0:00:00 Slide 1
0:01:30 Slide 2
0:02:45 Slide 3
0:03:49 Slide 4
0:05:38 Slide 5
0:06:38 Slide 6
0:08:12 Slide 7
0:09:21 Slide 8
0:12:34 Slide 9
0:13:39 Slide 10
0:16:47 Slide 11
The talk
Credits and licence
- Institution
- CERN
- Department
- QTI other events or meetings
- Speaker
- Jennifer Ngadiuba
- Year
- 2023
- Language
- English
- Subjects
- Physics, Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed