# Computer science 3,407 courses and talks. - [Machine Learning with Google Cloud](https://invisiblenetwork.ai/learn/cern/3005682): Melanie Warrick · CERN - [Machine Learning - Part 2](https://invisiblenetwork.ai/learn/cern/3004646): Michael Kagan · CERN - [Machine Learning - Part 1](https://invisiblenetwork.ai/learn/cern/3004644): Michael Kagan · CERN - [Computing Security](https://invisiblenetwork.ai/learn/cern/3004722): Sebastian Lopienski · CERN - [Athenz: an open-source foundation for secure infrastructure](https://invisiblenetwork.ai/learn/cern/3004422): James Penick · CERN - [Computing in High Energy Physics](https://invisiblenetwork.ai/learn/cern/3004626): Dirk Duellmann · CERN - [THE SUCCESS OF DEEP GENERATIVE MODELS](https://invisiblenetwork.ai/learn/cern/3003533): Jakub Tomczak · CERN - [Real-Time processing of Big Data with ScyllaDB](https://invisiblenetwork.ai/learn/cern/3003323): Glauber Costa and Miguel Martinez Pedreira · CERN - [Computer Security at CERN](https://invisiblenetwork.ai/learn/cern/3002961): Sebastian Lopienski · CERN - [Invited talk: Deep Learning Meets Physics](https://invisiblenetwork.ai/learn/cern/2302559): Sepp Hochreiter · CERN - [Invited talk: Overview, RNNs and alike in HEP](https://invisiblenetwork.ai/learn/cern/2302704): Kyle Stuart Cranmer · CERN - [Accessing Intel FPGAs for Acceleration](https://invisiblenetwork.ai/learn/cern/3012804): Karl Qi · CERN - [Beyond Bundles - Reproducible Software Environments with GNU Guix](https://invisiblenetwork.ai/learn/cern/3013569): Ludovic Courtès and Ricardo Wurmus · CERN - [Tools for Reproducibility and Extensibility in Scientific Research](https://invisiblenetwork.ai/learn/cern/3013009): Jessica Forde · CERN - [Jupyter live demo](https://invisiblenetwork.ai/learn/cern/3013006): Jessica Forde · CERN - [Distributing OS images and apps with ostree+Flatpak](https://invisiblenetwork.ai/learn/cern/3003222): Joaquim Rocha · CERN - [HLS4ML: deploying deep learning on FPGAs for L1 trigger and Data Acquisition](https://invisiblenetwork.ai/learn/cern/3012636): Jennifer Ngadiuba · CERN - [Synthetic biology: engineering molecular computers](https://invisiblenetwork.ai/learn/cern/3011011): Konstantinos Samaras-Tsakiris · CERN - [Scaling the AI Hierarchy of Needs with Hopsworks](https://invisiblenetwork.ai/learn/cern/3010261): Jim Dowling · CERN - [Machine Learning and Deep Neural Networks](https://invisiblenetwork.ai/learn/cern/3010107): Guillermo Antonio Fidalgo Rodriguez · CERN - [Multivariate Analysis Techniques for charm reconstruction with ALICE](https://invisiblenetwork.ai/learn/cern/3016187): Chiara Zampolli · CERN - [Direct Learning of Systematics-Aware Summary Statistics](https://invisiblenetwork.ai/learn/cern/3009887): Pablo De Castro Manzano · CERN - [Fisher information metrics for binary classifier evaluation and training](https://invisiblenetwork.ai/learn/cern/3009531): Andrea Valassi · CERN - [Drones: Making faster and smarter decisions with software triggers](https://invisiblenetwork.ai/learn/cern/3009900): Sean Benson · CERN - [Machine learning in jet physics](https://invisiblenetwork.ai/learn/cern/3009532): Sreedevi Narayana Varma · CERN - [DeepJet: a portable ML environment for HEP](https://invisiblenetwork.ai/learn/cern/3010022): swapneel mehta and Swapneel Sundeep Mehta · CERN - [Close-out and challenge results](https://invisiblenetwork.ai/learn/cern/3009896): Steven Randolph Schramm and others · CERN - [Classification of decays involving variable decay chains with convolutional architectures](https://invisiblenetwork.ai/learn/cern/3009901): Justin Tan · CERN - [Recursive Neural Networks in Quark/Gluon Tagging](https://invisiblenetwork.ai/learn/cern/3009889): Taoli Cheng · CERN - [What is the machine learning.](https://invisiblenetwork.ai/learn/cern/3009512): Bryan Ostdiek · CERN - [Tutorial: Keras/TensorFlow](https://invisiblenetwork.ai/learn/cern/3007392): Stefan Wunsch · CERN - [Particle identification at LHCb: new calibration techniques and machine learning classification algorithms](https://invisiblenetwork.ai/learn/cern/3009527): Miriam Lucio Martinez · CERN - [Generative Models for Fast Cluster Simulations in the TPC for the ALICE Experiment](https://invisiblenetwork.ai/learn/cern/3009443): Kamil Rafal Deja · CERN - [Adversarial Tuning of Perturbative Parameters in Non-Differentiable Physics Simulators](https://invisiblenetwork.ai/learn/cern/3011350): Michela Paganini · CERN - [Interpreting Deep Neural Networks and their Predictions](https://invisiblenetwork.ai/learn/cern/3009509): Wojciech Samek · CERN - [Fast calorimeter simulation in LHCb](https://invisiblenetwork.ai/learn/cern/3009441): Egor Zakharov · CERN - [A Deep Learning tool for fast simulation](https://invisiblenetwork.ai/learn/cern/3009891): Gul Rukh Khattak · CERN - [Studies to mitigate difference between real data and simulation for jet tagging](https://invisiblenetwork.ai/learn/cern/3019261): Oliver Buchmuller and others · CERN - [Identifying the relevant dependencies of the neural network response on characteristics of the input space](https://invisiblenetwork.ai/learn/cern/3009525): Stefan Wunsch · CERN - [Joint Wasserstein GAN contribution](https://invisiblenetwork.ai/learn/cern/3009938): Jonas Glombitza, Thorben Quast and David Josef Schmidt · CERN - [DarkMachines](https://invisiblenetwork.ai/learn/cern/3008490): Tommaso Dorigo · CERN - [Surrogate Models for Fun and Profit](https://invisiblenetwork.ai/learn/cern/3009492): Andrey Ustyuzhanin · CERN - [Overview of ML in HEP](https://invisiblenetwork.ai/learn/cern/3009330): Luke Percival De Oliveira · CERN - [HL-LHC tracking challenge](https://invisiblenetwork.ai/learn/cern/3007030): Jean-Roch Vlimant · CERN - [Tutorial: TMVA](https://invisiblenetwork.ai/learn/cern/3009501): Lorenzo Moneta · CERN - [DeepJet: a deep-learned multiclass jet-tagger for slim and fat jets](https://invisiblenetwork.ai/learn/cern/3009384): Loukas Gouskos and others · CERN - [Machine Learning For Enterprises: Beyond Open Source](https://invisiblenetwork.ai/learn/cern/3009491): Jean-Francois Puget · CERN - [Convolutional Neural Network for Track Seed Filtering at the CMS HLT](https://invisiblenetwork.ai/learn/cern/3009341): Adriano Di Florio · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=computing&page=41)