| Talk | |||||||||||
| Title | Preparing for the future: opportunities for ML in ATLAS & CMS | ||||||||||
| Video |
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| Author(s) | GOLLING, Tobias (speaker) (Universite de Geneve (CH)) | ||||||||||
| Corporate author(s) | CERN. Geneva | ||||||||||
| Imprint | 2015-11-09. - Streaming video. | ||||||||||
| Series | (LPCC Workshops) (Data Science @ LHC 2015 Workshop) | ||||||||||
| Lecture note | on 2015-11-09T11:40:00 | ||||||||||
| Subject category | LPCC Workshops | ||||||||||
| Abstract | ML is an established tool in HEP and there are many examples which demonstrate its importance for the kind of classification and regression problem we have in our field. However, there is also a big potential for future applications in yet untapped areas. I will summarise these opportunities and highlight recent, ongoing and planned studies of novel ML applications in HEP. Certain aspects of the problems we are faced with in HEP are quite unique and represent interesting benchmark problems for the ML community as a whole. Hence, efficient communication and close interaction between the ML and HEP community is expected to lead to promising cross-fertilisation. This talk attempts to serve as a starting point for such a prospective collaboration. | ||||||||||
| Copyright/License | © 2015-2024 CERN | ||||||||||
| Submitted by | michelangelo.mangano@cern.ch | ||||||||||
Record created 2015-11-11, last modified 2022-11-02
Talk details