# From CERN 19,166 courses and talks. - [Deep Convolutional Networks for Event Reconstruction and Particle Tagging on NOvA and DUNE](https://invisiblenetwork.ai/learn/cern/3025243): Fernanda Psihas · CERN - [Jet reconstruction and heavy jet tagging at LHCb](https://invisiblenetwork.ai/learn/cern/3017178): Lorenzo Sestini · CERN - [Identification of Jets Containing b-Hadrons with Recurrent Neural Networks at the ATLAS Experiment](https://invisiblenetwork.ai/learn/cern/3017179): Daniel Hay Guest · CERN - [Invenio @ IAEA](https://invisiblenetwork.ai/learn/cern/3019060): Jaime Garcia Llopis · CERN - [Invenio @ JOIN2](https://invisiblenetwork.ai/learn/cern/3015838): Alexander Wagner · CERN - [Tutorial 1: TMVA](https://invisiblenetwork.ai/learn/cern/3008872): Sergei Gleyzer and Lorenzo Moneta · CERN - [Invenio @ CERN Scientific Information Services (INSPIRE / HEPData / SCOAP3)](https://invisiblenetwork.ai/learn/cern/3002723): Samuele Kaplun · CERN - [Flavor Tagging with Deep Neural Networks at Belle II](https://invisiblenetwork.ai/learn/cern/3017180): Jochen Gemmler · CERN - [Inclusive tagging of B-flavour at LHCb \[Vidyo\]](https://invisiblenetwork.ai/learn/cern/3017187): Aleksei Rogozhnikov · CERN - [Invenio @ CERN IT (CDS, B2SHARE, Zenodo, OpenData, Analysis Preservation, OAIS Archival Store)](https://invisiblenetwork.ai/learn/cern/3015828): Jose Benito Gonzalez Lopez · CERN - [Invenio: State of the Union](https://invisiblenetwork.ai/learn/cern/3019814): Lars Holm Nielsen · CERN - [Invenio @ JINR](https://invisiblenetwork.ai/learn/cern/3002848): Tatiana Zaikina · CERN - [Overview and Goals](https://invisiblenetwork.ai/learn/cern/3002918): Jose Benito Gonzalez Lopez · CERN - [Tutorial 2: Scikit-learn](https://invisiblenetwork.ai/learn/cern/3017699): Gilles Louppe · CERN - [Recent results from searches for Supersymmetry at ATLAS](https://invisiblenetwork.ai/learn/cern/3017052): Moritz Backes · CERN - [Quark/gluon jet discrimination: a reproducible analysis using R](https://invisiblenetwork.ai/learn/cern/3006446): Andrew Lowe · CERN - [Exploring neural networks to improve b-jet tagging with the ALICE detector](https://invisiblenetwork.ai/learn/cern/3017181): Rudiger Haake · CERN - [DeepFlavour in CMS](https://invisiblenetwork.ai/learn/cern/3003501): Markus Stoye · CERN - [Invenio 3 - Call for action](https://invisiblenetwork.ai/learn/cern/3002870): Alexander Wagner · CERN - [Invenio ILS as SaaS @ TIND](https://invisiblenetwork.ai/learn/cern/3012154): Audun Bjorkoy · CERN - [Invenio @ Universitat Autònoma de Barcelona](https://invisiblenetwork.ai/learn/cern/3015857): Ferran Jorba · CERN - [Intel and ML](https://invisiblenetwork.ai/learn/cern/3017038): Hans Pabst · CERN - [Yandex and ML](https://invisiblenetwork.ai/learn/cern/3016932): Andrey Ustyuzhanin · CERN - [Introduction to the workshop](https://invisiblenetwork.ai/learn/cern/3018408): Steven Randolph Schramm and others · CERN - [Industry-HEP panel on Machine Learning](https://invisiblenetwork.ai/learn/cern/3022310): Andrey Ustyuzhanin and Hans Pabst · CERN - [Neutrinos](https://invisiblenetwork.ai/learn/cern/3017039): Pilar Hernandez and Stefania Bordoni · CERN - [Neutrinos](https://invisiblenetwork.ai/learn/cern/3003028): Pilar Hernandez and Stefania Bordoni · CERN - [From Emergent Gravity to Dark Energy and Dark Matter](https://invisiblenetwork.ai/learn/cern/3016796): Erik Verlinde · CERN - [Neutrinos](https://invisiblenetwork.ai/learn/cern/3018407): Pilar Hernandez and Stefania Bordoni · CERN - [Neutrinos](https://invisiblenetwork.ai/learn/cern/3001049): Stefania Bordoni and Pilar Hernandez · CERN - [Study of resonance production as a probe of heavy-ion collisions with the ALICE detector](https://invisiblenetwork.ai/learn/cern/3016538): Anders Garritt Knospe · CERN - [Introduction to concurrent throughput-oriented programming with ReactiveX](https://invisiblenetwork.ai/learn/cern/3016219): Kirk Shoop · CERN - [Creating Effective Data Visualizations - Lecture 2](https://invisiblenetwork.ai/learn/cern/3018590): Eamonn James Maguire · CERN - [Status and plans of the CLIC accelerator study](https://invisiblenetwork.ai/learn/cern/3016221): Philip Nicholas Burrows · CERN - [Event reconstruction: from Linear Collider to neutrino physics](https://invisiblenetwork.ai/learn/cern/3016305): Mark Andrew Thomson · CERN - [Applying natural evolution for solving computational problems - Lecture 2](https://invisiblenetwork.ai/learn/cern/3016227): Daniel Lanza Garcia · CERN - [Silicon tracking at CLIC, current overview and technology prospects](https://invisiblenetwork.ai/learn/cern/3018789): Daniel Hynds · CERN - [Status and plans of the CLIC detector and physics study](https://invisiblenetwork.ai/learn/cern/3016222): Dominik Dannheim · CERN - [Welcome](https://invisiblenetwork.ai/learn/cern/3016225): Frederick Bordry · CERN - [Creating Effective Data Visualizations - Lecture 1](https://invisiblenetwork.ai/learn/cern/3016220): Eamonn James Maguire · CERN - [Distributed consensus and fault tolerance - Lecture 2](https://invisiblenetwork.ai/learn/cern/3016226): Georgios Bitzes · CERN - [Highlights of CTF3](https://invisiblenetwork.ai/learn/cern/3016247): Roberto Corsini · CERN - [Closing remarks](https://invisiblenetwork.ai/learn/cern/3016239): Sebastian Lopienski · CERN - [A Linear Collider programme at the CLEAR facility](https://invisiblenetwork.ai/learn/cern/3016297): Erik Adli · CERN - [Why is it important that CLIC is upgradable beyond the 380 GeV stage?](https://invisiblenetwork.ai/learn/cern/3018569): Philipp Roloff · CERN - [Let your machine do the learning - Lecture 2](https://invisiblenetwork.ai/learn/cern/3016146): Daniel Hugo Campora Perez · CERN - [Algorithms for Anomaly Detection - Lecture 2](https://invisiblenetwork.ai/learn/cern/3017734): Michael Davis · CERN - [Virtual Machine Images Management in Cloud Environments](https://invisiblenetwork.ai/learn/cern/3016086): Lorena Lobato Pardavila · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=171)