# From CERN 19,166 courses and talks. - [On equivariance and explainability](https://invisiblenetwork.ai/learn/cern/3022213): Kaare Endrup Iversen · CERN - [Progress Report on CTA Scheduler DB](https://invisiblenetwork.ai/learn/cern/3022313): Jaroslav Guenther · CERN - [CTA status at IHEP](https://invisiblenetwork.ai/learn/cern/3022312): qiuling yao · CERN - [Web for the win! A crash course in building web apps](https://invisiblenetwork.ai/learn/cern/3022319): George Coldstream · CERN - [Configuring ATRESYS to use Repack tapepools](https://invisiblenetwork.ai/learn/cern/3022352): Idriss Larbi · CERN - [The EOS Development Workplan & Roadmap](https://invisiblenetwork.ai/learn/cern/3022146): Elvin Alin Sindrilaru and Andreas Joachim Peters · CERN - [Analysis Benchmarking with EOS/RNTuple](https://invisiblenetwork.ai/learn/cern/3022145): Andreas Joachim Peters · CERN - [How to benchmark EOS with bash?](https://invisiblenetwork.ai/learn/cern/3022167): Andreas Joachim Peters · CERN - [How to setup authentication Front-ends?](https://invisiblenetwork.ai/learn/cern/3022168): Elvin Alin Sindrilaru · CERN - [How to configure TLS & ZTN in XRootD?](https://invisiblenetwork.ai/learn/cern/3022175): Guilherme Amadio · CERN - [Maximum Likelihood Fitting](https://invisiblenetwork.ai/learn/cern/3022172): Simon Thiele · CERN - [Efficient Workflow Management in High-Energy Physics](https://invisiblenetwork.ai/learn/cern/3022174): Cedric Verstege · CERN - [Exotic Hadrons from Hidden Charm to Doubly Charmed Mesons](https://invisiblenetwork.ai/learn/cern/3022178): Luciano Maiani · CERN - [XRootD Update & Parallel Socket Benchmarking](https://invisiblenetwork.ai/learn/cern/3022177): Guilherme Amadio · CERN - [Storage Hardware at CERN](https://invisiblenetwork.ai/learn/cern/3022147): Luca Mascetti · CERN - [Automate All the Things: CI/CD for the Bold and the Brave](https://invisiblenetwork.ai/learn/cern/3022183): Elizabeth Mamtsits · CERN - [How to transtion from MQ to no MQ?](https://invisiblenetwork.ai/learn/cern/3022190): Elvin Alin Sindrilaru · CERN - [Illuminating the dark side of statistics: Bayesian inference in particle physics](https://invisiblenetwork.ai/learn/cern/3022173): Lorenz Gartner · CERN - [EOS for Physics at CERN: Operational Insights, Achievements, and Future Directions](https://invisiblenetwork.ai/learn/cern/3022132): Maria Arsuaga Rios · CERN - [Deploying an EOS Instance from Scratch: A Practical Guide](https://invisiblenetwork.ai/learn/cern/3021570): Gianmaria Del Monte · CERN - [A Distributed Probe for EOS: Real-Time Availability Monitoring and Alerting](https://invisiblenetwork.ai/learn/cern/3021572): Gianmaria Del Monte · CERN - [A Distributed Storage Odyssey: from CentOS7 to ALMA9](https://invisiblenetwork.ai/learn/cern/3022098): Cedric Caffy · CERN - [Refurbishing the Meyrin Data Centre: Storage Juggling and Operations](https://invisiblenetwork.ai/learn/cern/3022099): Octavian-Mihai Matei · CERN - [Data Federations with EOS](https://invisiblenetwork.ai/learn/cern/3022093): Luca Mascetti · CERN - [Evaluating Jumbo frames performance across LHC experiments](https://invisiblenetwork.ai/learn/cern/3022097): Maria Arsuaga Rios · CERN - [Diagnostic tool for submitting useful information for future debugging](https://invisiblenetwork.ai/learn/cern/3022101): Abhishek Lekshmanan · CERN - [EOS Status at IHEP](https://invisiblenetwork.ai/learn/cern/3022138): Yujiang BI · CERN - [Boosting the precision of the top quark mass measurement with ATLAS](https://invisiblenetwork.ai/learn/cern/3022129): Mark Andrew Owen · CERN - [Reinforcement Learning in Particle Accelerators: a practical example (1/2)](https://invisiblenetwork.ai/learn/cern/3022136): Joel Axel Wulff · CERN - [Code You Won’t Regret (Too Much): How to Write Maintainable Code](https://invisiblenetwork.ai/learn/cern/3022143): Niels Alexander Buegel · CERN - [Under the Hood of the Snake: Behind the scenes of Python](https://invisiblenetwork.ai/learn/cern/3022135): Sten Astrand · CERN - [Reinforcement Learning in Particle Accelerators: a practical example (2/2)](https://invisiblenetwork.ai/learn/cern/3022137): Joel Axel Wulff · CERN - [CERNBox and EOSHPM status update](https://invisiblenetwork.ai/learn/cern/3022176): Diogo Castro and Jan Iven · CERN - [EOS site report of the Joint Research Centre](https://invisiblenetwork.ai/learn/cern/3022170): Armin Burger · CERN - [You still have those QDB backups, right? (Practical example of disaster recovery of EOS deployment)](https://invisiblenetwork.ai/learn/cern/3022169): Stefan Piperov · CERN - [Planning an EOS Data Federation to deal with Climate Change using AI](https://invisiblenetwork.ai/learn/cern/3022314): Wanderley Mendes and Paulo Nobre · CERN - [EOS and XRootD HTTP improvements](https://invisiblenetwork.ai/learn/cern/3022074): Cedric Caffy · CERN - [Welcome to TechWeekStorage](https://invisiblenetwork.ai/learn/cern/3022071): Jakub Moscicki · CERN - [EOS 5.2 and 5.3 Status / Overview](https://invisiblenetwork.ai/learn/cern/3022070): Elvin Alin Sindrilaru · CERN - [LLMs in Production: RAG pipelines and beyond](https://invisiblenetwork.ai/learn/cern/3022068): Jack Charlie Munday · CERN - [Storage Tiering in EOS](https://invisiblenetwork.ai/learn/cern/3022069): Andreas Joachim Peters · CERN - [Introduction to Data Processing and Analysis of LHC Experiments: Spotlight on Storage](https://invisiblenetwork.ai/learn/cern/3022078): Danilo Piparo · CERN - [Developing the path to Exoscale Computing for the Square Kilometre Array with SRCNe](https://invisiblenetwork.ai/learn/cern/3022075): James William Walder · CERN - [Status of the S3 Interface for EOS](https://invisiblenetwork.ai/learn/cern/3022077): Andreas Joachim Peters · CERN - [Understanding Large Language Models and their Applications in Code Generation](https://invisiblenetwork.ai/learn/cern/3022103): Andrea Valenzuela Ramirez · CERN - [WASM: the future of computing](https://invisiblenetwork.ai/learn/cern/3022095): Alberto Pimpo · CERN - [The Algorithm Advantage: Outperforming Hardware with Smarter Code](https://invisiblenetwork.ai/learn/cern/3022096): Andrea Germinario · CERN - [QClient Improvements for the next fastest Metadata](https://invisiblenetwork.ai/learn/cern/3022128): Abhishek Lekshmanan · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=337)