# From CERN 19,166 courses and talks. - [Life within Emacs: Static Websites with Org-Mode and Hugo](https://invisiblenetwork.ai/learn/cern/3010695): Georgios Kaklamanos · CERN - [Building a RISC-V CPU in 5 minutes](https://invisiblenetwork.ai/learn/cern/3010265): James Devine · CERN - [Powercoders - a coding academy for refugees](https://invisiblenetwork.ai/learn/cern/3010264): Franck Pachot · CERN - [MirageOS: robust and secure services for the cloud](https://invisiblenetwork.ai/learn/cern/3010634): Hannes Mehnert · CERN - [Rebuilding the WWW Browser: the aftermath](https://invisiblenetwork.ai/learn/cern/3012448): Konstantinos Platis · CERN - [Scaling Security Operations Center message processing: from Scala to Go](https://invisiblenetwork.ai/learn/cern/3010639): Cristian Schuszter · CERN - [The one-million table partitions challenge in an ATLAS experiment DB application](https://invisiblenetwork.ai/learn/cern/3006501): Gancho Dimitrov · CERN - [What works and why? The 'Physics' of evidence-based science communication](https://invisiblenetwork.ai/learn/cern/3010633): Eric Jensen and Alexander Gerber · CERN - [Precision measurement of the CP-violating phase $\phi_s$ at LHCb](https://invisiblenetwork.ai/learn/cern/3009043): Francesca Dordei · CERN - [LXPLUS configuration](https://invisiblenetwork.ai/learn/cern/3009311): Maria Alandes Pradillo · CERN - [Introduction](https://invisiblenetwork.ai/learn/cern/3009325): Maria Alandes Pradillo · CERN - [Ansys RSM configuration](https://invisiblenetwork.ai/learn/cern/3009310): Maria Alandes Pradillo · CERN - [Computing from the Dark Ages: My Fifty-Year Odyssey](https://invisiblenetwork.ai/learn/cern/3007435): Charles Haley · CERN - [Higgs boson properties -updated results from Run-2 ATLAS data-](https://invisiblenetwork.ai/learn/cern/3018792): Hongtao Yang · CERN - [Differentiable architecture search](https://invisiblenetwork.ai/learn/cern/3009107): Andrey Ustyuzhanin · CERN - [Physics inspired Autonomous Feature Engineering](https://invisiblenetwork.ai/learn/cern/3005560): Marcel Rieger · CERN - [Advanced Generative Adversarial Network Techniques](https://invisiblenetwork.ai/learn/cern/3009319): Jonas Glombitza · CERN - [Bayesian dropout explanation and examples](https://invisiblenetwork.ai/learn/cern/3009106): Andrey Ustyuzhanin · CERN - [Introduction to the basics of deep learning](https://invisiblenetwork.ai/learn/cern/3002952): Yannik Alexander Rath · CERN - [Bayesian approach to network design](https://invisiblenetwork.ai/learn/cern/3009105): Andrey Ustyuzhanin · CERN - [Traditional approach to network architecture optimisation](https://invisiblenetwork.ai/learn/cern/3009104): Andrey Ustyuzhanin · CERN - [Close-out](https://invisiblenetwork.ai/learn/cern/3009317): Steven Randolph Schramm · CERN - [Applying Generative Models to Scientific Research](https://invisiblenetwork.ai/learn/cern/3016898): Fedor Ratnikov · CERN - [Fast Simulation Using Generative Adversarial Network in LHCB](https://invisiblenetwork.ai/learn/cern/3004709): Artem Maevskiy · CERN - [LUMIN - a deep learning and data science ecosystem for high-energy physics](https://invisiblenetwork.ai/learn/cern/3012092): Giles Chatham Strong · CERN - [ML Techniques for heavy flavour identification in CMS](https://invisiblenetwork.ai/learn/cern/3006295): Emil Sorensen Bols · CERN - [Deep generative models for fast shower simulation in ATLAS](https://invisiblenetwork.ai/learn/cern/3009102): Aishik Ghosh · CERN - [Feature ranking based on subtraction methods](https://invisiblenetwork.ai/learn/cern/3006260): Paul Glaysher · CERN - [A hybrid deep learning approach to vertexing](https://invisiblenetwork.ai/learn/cern/3006257): Henry Fredrick Schreiner · CERN - [Model-Assisted GANs for the optimisation of simulation parameters and as an algorithm for fast Monte Carlo production](https://invisiblenetwork.ai/learn/cern/3009312): Saul Alonso Monsalve · CERN - [ParticleNet: Jet Tagging via Particle Clouds](https://invisiblenetwork.ai/learn/cern/3009202): Huilin Qu · CERN - [Fast Deep Learning on FPGAs for the Phase-II L0 Muon Barrel Trigger of the ATLAS Experiment](https://invisiblenetwork.ai/learn/cern/3002238): Luigi Sabetta · CERN - [High Granularity Calorimeter Simulation using Generative Adversarial Networks](https://invisiblenetwork.ai/learn/cern/3009100): Gul Rukh Khattak · CERN - [Event Generation and Statistical Sampling with Deep Generative Models](https://invisiblenetwork.ai/learn/cern/3012093): Sydney Otten · CERN - [NeuralRinger: An Ensemble of Neural Networks Fed from Calorimeter Ring Sums for Triggering on Electrons](https://invisiblenetwork.ai/learn/cern/3009315): Werner Spolidoro Freund · CERN - [DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC](https://invisiblenetwork.ai/learn/cern/3016421): Serena Palazzo · CERN - [GroomRL: jet grooming through reinforcement learning](https://invisiblenetwork.ai/learn/cern/3009314): Frederic Alexandre Dreyer · CERN - [Learning representations of irregular particle-detector geometry with distance-weighted graph networks](https://invisiblenetwork.ai/learn/cern/3006297): Jan Kieseler · CERN - [Gauge Fields in Deep Learning](https://invisiblenetwork.ai/learn/cern/3004740): Max Welling · CERN - [Looking forward to new physics: the FASER experiment](https://invisiblenetwork.ai/learn/cern/3011996): Jamie Boyd · CERN - [ALICE EMCAL Data Analysis](https://invisiblenetwork.ai/learn/cern/3009378): Cristian Danny Ramos · CERN - [Decoding Physics Information in DNNs](https://invisiblenetwork.ai/learn/cern/3016892): Taoli Cheng · CERN - [Uncertain Networks](https://invisiblenetwork.ai/learn/cern/3008988): Jennifer Thompson · CERN - [Machine Learning for Likelihood Free Inference](https://invisiblenetwork.ai/learn/cern/3019272): Luc Tomas Le Pottier · CERN - [ITk Strip Demonstrator with FELIX at CERN](https://invisiblenetwork.ai/learn/cern/3004759): Benjamin Hunt · CERN - [The information theory of Deep Learning](https://invisiblenetwork.ai/learn/cern/3008996): Naftali Tishby · CERN - [Dual Readout Calorimetry Signal Analysis with Neural Networks](https://invisiblenetwork.ai/learn/cern/3009201): Murali Saravanan · CERN - [Neural networks for the abstraction of the physical symmetries in the nature](https://invisiblenetwork.ai/learn/cern/3012035): Wonsang Cho · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=206)