CERN Accelerating science

Video Lectures

Ultimi arrivi:
2017-03-25
14:41
Industry-HEP panel on Machine Learning
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-25
14:41
Session introduction
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-25
10:13
DevOops Redux / Gates, Chris (speaker) (Security consultant) ; Johnson, Ken (speaker) (nVisium)
DevOps toolchains are transforming Modern IT, but hackers can undermine their benefits through poorly implemented or vulnerable DevOps tools. Chris Gates and Ken Johnson will share their collaborative attack research into the technology driving DevOps. [...]
2017 - Streaming video. CERN Computing Seminar External link: Event details In : DevOops Redux

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2017-03-25
10:13
From CERN to Entrepreneurship: we don't know what we don't know / Zucchelli, Piero (speaker)
Abstract CERN is simultaneously a scientific environment that could keep you safely ‘hooked for life’ but also the ideal place to inspire you to explore and nurture new ideas and perhaps branch out into the unknown. However, leaving a safe environment is a notoriously difficult decision: we know precisely what we leave behind, but we don’t know what we don’t know (and I can confirm it’s waiting for us around the corner!) [...]
2017 - Streaming video. Knowledge Transfer seminars External link: Event details In : From CERN to Entrepreneurship: we don't know what we don't know

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2017-03-24
12:41
HEP.TrkX [Vidyo] / Anderson, Dustin James (speaker) (California Institute of Technology (US))
Reconstruction of charged particle tracks is a central task in the processing of physics data at the LHC and other colliders. Current state-of-the-art tracking algorithms are based on the Kalman filter and have seen great success both offline and at trigger level. [...]
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-24
12:38
Tutorial 3: Keras and TMVA interfaces / Wunsch, Stefan (speaker) (KIT - Karlsruhe Institute of Technology (DE))
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-24
12:38
Deep Convolutional Networks for Event Reconstruction and Particle Tagging on NOvA and DUNE / Psihas, Fernanda (speaker) (Indiana University)
Deep Convolutional Neural Networks (CNNs) have been widely applied in computer vision to solve complex problems in image recognition and analysis. In recent years many efforts have emerged to extend the use of this technology to HEP applications, including the Convolutional Visual Network (CVN), our implementation for identification of neutrino events. [...]
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-24
12:33
Object identification with deep learning using Intel DAAL on Knights Landing processor [Vidyo] / Ojika, David Nonso (speaker) (University of Florida (US))
The problem of object recognition is computationally expensive, especially when large amounts of data is involved. Recently, techniques in deep neural networks (DNN) - including convolutional neural networks and residual neural networks - have shown great recognition accuracy compared to traditional methods (artificial neural networks, decision tress, etc.) [...]
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-24
12:33
Not yet available
Tutorial 4: R / Lowe, Andrew (speaker) (Hungarian Academy of Sciences (HU))
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-24
12:33
Using Boosted Decision Trees to look for displaced Jets in the ATLAS Calorimeter / Watts, Gordon (speaker) (University of Washington (US))
A boosted decision tree is used to identify unique jets in a recently released conference note describing a search for long lived particles decaying to hadrons in the ATLAS Calorimeter. Neutral Long lived particles decaying to hadrons are “typical” signatures in a lot of models including Hidden Valley models, Higgs Portal Models, Baryogenesis, Stealth SUSY, etc. [...]
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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