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Video Lectures

Derniers ajouts:
2017-09-20
08:38
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HNSciCloud WP4 M-PRO-2.2 review with RHEA - remote via videoconference
2017 - Streaming video. Work Package 4 External link: Event details In : HNSciCloud WP4 M-PRO-2.2 review with RHEA - remote via videoconference

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2017-09-20
08:38
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HNSciCloud WP4 M-PRO-2.2 review with T-Systems - remote via videoconference
2017 - Streaming video. Work Package 4 External link: Event details In : HNSciCloud WP4 M-PRO-2.2 review with T-Systems - remote via videoconference

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2017-09-20
08:37
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HNSciCloud WP4 M-PRO-2.2 review with IBM - remote via videoconference
2017 - Streaming video. Work Package 4 External link: Event details In : HNSciCloud WP4 M-PRO-2.2 review with IBM - remote via videoconference

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2017-09-18
11:01
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IT-DI Group / Galanis, Orestis (speaker) (Malmo Hogskola (SE)) ; Del Vicario, Nathalie (speaker) (CERN) ; Gaillard, Melissa (speaker) (CERN) ; Devouassoux, Marion (speaker) (Universite Lille 1 Sciences et Technologies (FR)) ; Barroso, Maite (speaker) (CERN) ; Valsan, Liviu (speaker) (CERN) ; Fernandes, João (speaker) (CERN) ; Bird, Ian (speaker) (CERN) ; Short, Hannah (speaker) (CERN) ; Moura, Florence (speaker) (CERN)
This talk will give an overview of the IT-DI Group structure, activities and plans..
2017 - Streaming video. IT Technical Forum (ITTF); IT-DI Group External links: Talk details; Event details In : IT-DI Group

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2017-09-18
09:51
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CMS General Meeting: WGM 326 / Butler, Joel (speaker) (Fermi National Accelerator Lab. (US))
PIN: 2671 This meeting is also broadcast live via the CMS Webcast: https://webcast.cern.ch
2017 - Streaming video. CMS General External link: Event details In : CMS General Meeting: WGM 326

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2017-09-14
15:01
CAPES: Unsupervised Storage Performance Tuning Using Neural Network-Based Deep Reinforcement Learning / Miller, Ethan L. (speaker) (University of California, Santa Cruz)
Parameter tuning is an important task of storage performance optimization. Current practice usually involves numerous tweak-benchmark cycles that are slow and costly. [...]
2017 - Streaming video. CERN Computing Seminar External link: Event details In : CAPES: Unsupervised Storage Performance Tuning Using Neural Network-Based Deep Reinforcement Learning

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2017-09-14
13:40
Exponential noise reduction in Lattice QCD: new tools for new physics / Giusti, Leonardo (speaker) (Milano-Bicocca and CERN)
The numerical computations of many quantities of theoretical and phenomenological interest are plagued by statistical errors which increase exponentially with the distance of the sources in the relevant correlators. Notable examples are baryon masses and matrix elements, the hadronic vacuum polarization and the light-by-light scattering contributions to the muon g-2, and the form factors of semileptonic B decays. [...]
2017 - Streaming video. Theory Colloquium External link: Event details In : Exponential noise reduction in Lattice QCD: new tools for new physics

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2017-09-14
11:30
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ATLAS Weekly / Jakobs, Karl (speaker) (Albert-Ludwigs-Universitaet Freiburg (DE))
Vidyo PIN is 120917 Reminder: ATLAS Weekly meetings are recorded    Help: For questions/problems regarding Vidyo, please contact: vidyo-support@cern.ch. For questions/problems regarding Webcast, please contact: webcast-support@cern.ch.  
2017 - Streaming video. ATLAS Weekly External link: Event details In : ATLAS Weekly

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2017-09-14
11:30
HR Public Session - English presentation / Purvis, James (speaker) (CERN)
2017 - Streaming video. HR Public Meetings; HR Public Session - English presentation External links: Talk details; Event details In : HR Public Session - English presentation

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2017-09-13
13:28
Social Networks and Archival Context: From R&D to Cooperative Program / Pitti, Daniel V. (speaker) (University of Virginia, USA)
2017 - Streaming video. Library events; Library Science Talk: "Social Networks and Archival Context: From R&D to Cooperative Program" - Daniel V. Pitti, University of Virginia, USA External links: Talk details; Event details In : Library Science Talk: "Social Networks and Archival Context: From R&D to Cooperative Program" - Daniel V. Pitti, University of Virginia, USA

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