# Computer science 3,407 courses and talks. - [Volunteer Computing Projects at CERN](https://invisiblenetwork.ai/learn/cern/3001577): Nils HOIMYR · CERN - [Personalized Opportunistic Computing for CMS at Large Scale](https://invisiblenetwork.ai/learn/cern/3001579): Douglas Prof. THAIN · CERN - [Cloud Machine Learning](https://invisiblenetwork.ai/learn/cern/3005094): Joseph Sirosh · CERN - [Legal aspects of Joint Pre-Commercial Procurements: from modeling to implementation](https://invisiblenetwork.ai/learn/cern/3017901): Francesca Cinardo · CERN - [Large Data Visualization with Open-Source Tools](https://invisiblenetwork.ai/learn/cern/3012854): Julien Jomier · CERN - [The fallacy of Software Patents](https://invisiblenetwork.ai/learn/cern/3019791): Joaquim Manuel PEREIRA ROCHA · CERN - [Software and patents: the law and its (ab)uses](https://invisiblenetwork.ai/learn/cern/3012311): David MAZUR · CERN - [Quantum Computing and the Limits of the Efficiently Computable](https://invisiblenetwork.ai/learn/cern/3008740): Scott Aaronson · CERN - [Data Quality Monitoring with Machine Learning at CMS](https://invisiblenetwork.ai/learn/cern/3005425): Hector Felipe Lacera Otalora · CERN - [Software used to size the safety devices](https://invisiblenetwork.ai/learn/cern/3013197): Jean-Marc Poncet · CERN - [A community Q&A for HEP Software and Computing ?](https://invisiblenetwork.ai/learn/cern/3012917): Andrea Valassi · CERN - [Software Switching for Data Acquisition](https://invisiblenetwork.ai/learn/cern/3004410): Grzegorz Jereczek and David Malone · CERN - [FPGAs for next gen DAQ and Computing systems at CERN](https://invisiblenetwork.ai/learn/cern/3004430): Srikanth Sridharan · CERN - [Data Quality Monitoring with Machine Learning at CMS](https://invisiblenetwork.ai/learn/cern/3014135): Aytaj Aghabayli · CERN - [Software Defined Networking Topology Service](https://invisiblenetwork.ai/learn/cern/3015190): Ivan Nikolic · CERN - [Adatelemzés és számítástechnika / Data Analysis and Computing](https://invisiblenetwork.ai/learn/cern/3007810): Attila Krasznahorkay · CERN - [Improvement of ROOT Machine Learning Methods](https://invisiblenetwork.ai/learn/cern/3006604): Pourya Vakilipourtakalou · CERN - [Evolution in Computing Hardware – Part 2](https://invisiblenetwork.ai/learn/cern/3004315): Andrzej Nowak · CERN - [Using Machine Learning to Search for MSSM Higgs Bosons](https://invisiblenetwork.ai/learn/cern/3006626): Rebecca Diesing · CERN - [ALICE Connex, mobile volunteer computing and edutainment platform](https://invisiblenetwork.ai/learn/cern/3005747): Gantaphon Chalumporn · CERN - [Volunteering computing](https://invisiblenetwork.ai/learn/cern/3013978): Claire Adam Bourdarios · CERN - [Machine Learning - Part 2](https://invisiblenetwork.ai/learn/cern/3003477): Sergei Gleyzer · CERN - [Machine Learning - Part 1](https://invisiblenetwork.ai/learn/cern/3003008): Sergei Gleyzer · CERN - [Computing from Grids to Clouds - Part 2](https://invisiblenetwork.ai/learn/cern/3002712): Ian Fisk · CERN - [Computing from Grids to Clouds - Part 1](https://invisiblenetwork.ai/learn/cern/3006281): Ian Fisk · CERN - [Computing Security](https://invisiblenetwork.ai/learn/cern/3002114): Sebastian Lopienski · CERN - [Computing in High Energy Physics](https://invisiblenetwork.ai/learn/cern/3001391): Helge Meinhard · CERN - [CERN openlab Welcome](https://invisiblenetwork.ai/learn/cern/3006384): Alberto Di Meglio · CERN - [Supporting Scientific Research with the Energy Sciences Network](https://invisiblenetwork.ai/learn/cern/3013366): David Mitchell and Inder Monga · CERN - [Lua(Jit) for computing accelerator beam physics](https://invisiblenetwork.ai/learn/cern/3016478): Laurent Deniau · CERN - [Energy Efficiency in Computing (2/2)](https://invisiblenetwork.ai/learn/cern/3018433): Andrzej Nowak · CERN - [Parallelization in Modern C++](https://invisiblenetwork.ai/learn/cern/3014517): Hartmut Kaiser · CERN - [Energy Efficiency in Computing (1/2)](https://invisiblenetwork.ai/learn/cern/3014513): Andrzej Nowak · CERN - [ATLAS: ML and DA Challenges](https://invisiblenetwork.ai/learn/cern/3013351): David Rousseau · CERN - [ALICE: ML and DA Challenges](https://invisiblenetwork.ai/learn/cern/3013629): Michele Floris · CERN - [CMS: ML and DA Challenges](https://invisiblenetwork.ai/learn/cern/3013630): Jean-Roch Vlimant · CERN - [Challenges for Industrial Control Systems](https://invisiblenetwork.ai/learn/cern/3013138): Filippo Maria Tilaro · CERN - [LHCb: ML and DA Challenges](https://invisiblenetwork.ai/learn/cern/3002844): Andrey Ustyuzhanin · CERN - [Trends in HPC and Data Center Power, Packaging, and Cooling](https://invisiblenetwork.ai/learn/cern/3013606): Michael K. Patterson · CERN - [Random Decision Forests on Apache Spark](https://invisiblenetwork.ai/learn/cern/3015833): Tom White · CERN - [The Principals and Practice of Distributed High Throughput Computing](https://invisiblenetwork.ai/learn/cern/3012953): Miron Dr. Livny · CERN - [Shared memory and message passing revisited in the many-core era](https://invisiblenetwork.ai/learn/cern/3002985): Aram SANTOGIDIS · CERN - [II - Detector simulation for the LHC and beyond : how to match computing resources and physics requirements](https://invisiblenetwork.ai/learn/cern/3002925): Valentina CAIRO · CERN - [II - Event reconstruction in Modern Particle Physics](https://invisiblenetwork.ai/learn/cern/3002924): Daniel Martin SAUNDERS · CERN - [Volatile Environments with Virtualisation Technologies](https://invisiblenetwork.ai/learn/cern/3002984): Anastasios ANDRONIDIS · CERN - [III - Template Metaprogramming for massively parallel scientific computing - Templates for Iteration; Thread-level Parallelism](https://invisiblenetwork.ai/learn/cern/3002979): Jiří VYSKOČIL · CERN - [II - Multivariate Classification and Machine Learning in HEP](https://invisiblenetwork.ai/learn/cern/3002922): Thomas KECK · CERN - [Formal Verification - Robust and Efficient code: Why Formal Verification](https://invisiblenetwork.ai/learn/cern/3002919): Kim ALBERTSSON · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=computing&page=36)