# Physics 6,273 courses and talks. - [Understanding ATLAS infrastructure behaviour with an Expert System](https://invisiblenetwork.ai/learn/cern/3007926): Ignacio Asensi Tortajada · CERN - [The Fast Simulation Chain in the ATLAS experiment](https://invisiblenetwork.ai/learn/cern/3012323): Martina Javurkova · CERN - [Heterogeneous techniques for rescaling energy deposits in the CMS Phase-2 endcap calorimeter](https://invisiblenetwork.ai/learn/cern/3011017): Bruno Alves · CERN - [Analysis of heavy-flavour particles in ALICE with the O2 analysis framework](https://invisiblenetwork.ai/learn/cern/3007983): Vit Kucera · CERN - [The GridKa tape storage: latest improvements and current production setup](https://invisiblenetwork.ai/learn/cern/3007986): Haykuhi Musheghyan · CERN - [Conditional Wasserstein Generative Adversarial Networks for Fast Detector Simulation](https://invisiblenetwork.ai/learn/cern/3012313): John Blue · CERN - [Fast simulation of the electromagnetic calorimeter response using Self-Attention Generative Adversarial Networks](https://invisiblenetwork.ai/learn/cern/3012578): Alexander Rogachev · CERN - [Daisy: Data analysis integrated software system for X-ray experiments](https://invisiblenetwork.ai/learn/cern/3007930): Haolai Tian · CERN - [An intelligent Data Delivery Service for and beyond the ATLAS experiment](https://invisiblenetwork.ai/learn/cern/3007974): Wen Guan · CERN - [Recent advances in ADL, CutLang and adl2tnm](https://invisiblenetwork.ai/learn/cern/3012352): Gokhan Unel · CERN - [A Computing and Detector Simulation Framework for the HIBEAM/NNBAR Experimental Program at the ESS](https://invisiblenetwork.ai/learn/cern/3018220): Bernhard Meirose · CERN - [EDM4hep and podio - The event data model of the Key4hep project and its implementation](https://invisiblenetwork.ai/learn/cern/3008018): Thomas Madlener · CERN - [Readable and efficient HEP data analysis with bamboo](https://invisiblenetwork.ai/learn/cern/3007980): Pieter David · CERN - [Optimization of Geant4 for the Belle II software library](https://invisiblenetwork.ai/learn/cern/3007973): Swagato Banerjee · CERN - [Monte Carlo matching in the Belle II software](https://invisiblenetwork.ai/learn/cern/3008251): Yo Sato · CERN - [A Deep Learning approach to LHCb Calorimeter reconstruction using a Cellular Automaton](https://invisiblenetwork.ai/learn/cern/3012308): Nuria Valls Canudas · CERN - [ALICE Run 3 Analysis Framework](https://invisiblenetwork.ai/learn/cern/3007993): Anton Alkin · CERN - [Intelligent compression for synchrotron radiation source image](https://invisiblenetwork.ai/learn/cern/3007916): Shiyuan Fu · CERN - [Apprentice for Event Generator Tuning](https://invisiblenetwork.ai/learn/cern/3007976): Mohan Krishnamoorthy · CERN - [Integration and Commissioning of the Software-based Readout System for ATLAS Level-1 Endcap Muon Trigger in Run 3](https://invisiblenetwork.ai/learn/cern/3007927): Kaito Sugizaki · CERN - [Improving Performance of Tape Restore Request Scheduling in the Storage System dCache](https://invisiblenetwork.ai/learn/cern/3012375): Lea Morschel · CERN - [Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC](https://invisiblenetwork.ai/learn/cern/3015897): Charline Rougier · CERN - [Deep learning based low-dose synchrotron radiation CT reconstruction](https://invisiblenetwork.ai/learn/cern/3007915): Ling Li · CERN - [The use of Boosted Decision Trees for Energy Reconstruction in JUNO experiment](https://invisiblenetwork.ai/learn/cern/3007960): Arsenii Gavrikov · CERN - [CMS Full Simulation for Run-3](https://invisiblenetwork.ai/learn/cern/3007959): Vladimir Ivantchenko · CERN - [C++ Code Generation for Fast Inference of Deep Learning Models in ROOT/TMVA](https://invisiblenetwork.ai/learn/cern/3007914): Sitong An · CERN - [Benchmarking NetBASILISK: a Network Security Project for Science](https://invisiblenetwork.ai/learn/cern/3008007): Jem Aizen Mendiola Guhit · CERN - [Enabling interoperable data and application services in a federated ScienceMesh](https://invisiblenetwork.ai/learn/cern/3011046): Ishank Arora · CERN - [Artificial Neural Networks on FPGAs for Real-Time Energy Reconstruction of the ATLAS LAr Calorimeters](https://invisiblenetwork.ai/learn/cern/3008005): Thomas Calvet · CERN - [Counter-based pseudorandom number generators for CORSIKA 8 : A multi-thread friendly approach](https://invisiblenetwork.ai/learn/cern/3008004): Antonio Augusto Alves Junior · CERN - [Determination of inter-system timing for Mini-CBM in 2020](https://invisiblenetwork.ai/learn/cern/3007981): Andreas Ralph Redelbach · CERN - [Porting CMS Heterogeneous Pixel Reconstruction to Kokkos](https://invisiblenetwork.ai/learn/cern/3012419): Matti Kortelainen · CERN - [Graph Variational Autoencoder for Detector Reconstruction and Fast Simulation in High-Energy Physics](https://invisiblenetwork.ai/learn/cern/3008093): Ali Hariri · CERN - [Fast simulation of Time-of-Flight detectors at the LHC](https://invisiblenetwork.ai/learn/cern/3007958): Olivier Rousselle · CERN - [Event Classification with Multi-step Machine Learning](https://invisiblenetwork.ai/learn/cern/3007918): Masahiko Saito · CERN - [Preparing distributed computing operations for the HLLHC era with Operational Intelligence](https://invisiblenetwork.ai/learn/cern/3007904): Panos Paparrigopoulos · CERN - [Implementation of ACTS into sPHENIX Track Reconstruction](https://invisiblenetwork.ai/learn/cern/3007905): Joe Osborn · CERN - [Keynote Talk: Software Perspectives](https://invisiblenetwork.ai/learn/cern/3007901): Heather Gray · CERN - [Introduction](https://invisiblenetwork.ai/learn/cern/3007899): Graeme A Stewart · CERN - [Porting HEP Parameterized Calorimeter Simulation Code to GPUs](https://invisiblenetwork.ai/learn/cern/3010965): Charles Leggett · CERN - [The new (and improved!) CERN Single-Sign-On](https://invisiblenetwork.ai/learn/cern/3007903): Mary Georgiou · CERN - [Welcome](https://invisiblenetwork.ai/learn/cern/3007898): Joachim Josef Mnich · CERN - [Keynote Talk: Computing Perspectives](https://invisiblenetwork.ai/learn/cern/3007900): Ian Bird · CERN - [Particle acceleration in AGN jets](https://invisiblenetwork.ai/learn/cern/3007581): James Matthews · CERN - [Particle acceleration in black-hole magnetospheres](https://invisiblenetwork.ai/learn/cern/3009003): Benjamin Crinquand · CERN - [High-Energy Astroparticle Physics: Outlook](https://invisiblenetwork.ai/learn/cern/3009335): Elena Amato · CERN - [Probing subatomic physics with GWs from neutron star binary systems](https://invisiblenetwork.ai/learn/cern/3006447): Tanja Hinderer · CERN - [Constraining the diffuse supernova axion-like-particle background with high-latitude Fermi data](https://invisiblenetwork.ai/learn/cern/3007479): Christopher Eckner · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=physics&page=95)