# From CERN 19,166 courses and talks. - [Oracle SQLcl MCP server evaluation and resource limits](https://invisiblenetwork.ai/learn/cern/3026683): David Benko · CERN - [Mojo: the future programming language for CERN experiments?](https://invisiblenetwork.ai/learn/cern/3026686): Abbas Naim · CERN - [Accelerating ATLAS Muon Tracking with Machine Learning-Based Segment Classification](https://invisiblenetwork.ai/learn/cern/3026687): Karla Lucic · CERN - [Numerical study of floating point precision within the PEPPER event generator](https://invisiblenetwork.ai/learn/cern/3026681): Yucheng Zhang · CERN - [Observability Data Centralization and Tracing Implementation](https://invisiblenetwork.ai/learn/cern/3026684): Rishab Kumar Jha · CERN - [GPU implementation of tensor network states](https://invisiblenetwork.ai/learn/cern/3026680): Aditya Tandon · CERN - [Fast Decision Forest inference on AMD AI Engines](https://invisiblenetwork.ai/learn/cern/3026689): Ayoub Agouzoul · CERN - [Trigger Level Analysis data preparation through co-processors](https://invisiblenetwork.ai/learn/cern/3026688): Emilly Rodrigues · CERN - [MLOps and Continual Learning for LHC Hardware Triggers](https://invisiblenetwork.ai/learn/cern/3026712): Maksymilian Artur Moskwytyn · CERN - [Evaluating Jet-Plus-Tracks Reconstruction for the CMS NGT Scouting Stream](https://invisiblenetwork.ai/learn/cern/3026714): Weronika Karolina Sobien · CERN - [Optimized C++ Inference in SOFIE for Quantized Machine Learning Models](https://invisiblenetwork.ai/learn/cern/3026717): Shaun Christopher Lee · CERN - [Optimisation of the ATLAS HL-LHC trigger menu for improved diHiggs (bbtautau) measurement](https://invisiblenetwork.ai/learn/cern/3026718): Sergio Estrada Paredes · CERN - [NGT: Physics Performance Evaluation of Continuous Real-Time Calibrations within the CMS High-Level Trigger System](https://invisiblenetwork.ai/learn/cern/3026715): Maximilian Spannring · CERN - [ML model optimization pipeline development](https://invisiblenetwork.ai/learn/cern/3026716): Stylianos Kostakis · CERN - [Accelerate the CMS electron seeding with extended pixel tracks](https://invisiblenetwork.ai/learn/cern/3026719): Hannah Grace Havel · CERN - [Extending the hls4ml Backend for PandA/Bambu](https://invisiblenetwork.ai/learn/cern/3026720): Shahd Abuhassan · CERN - [GPU-Based Muon Segment Fitting for HL-LHC Reconstruction.](https://invisiblenetwork.ai/learn/cern/3026721): Manfred Przemyslaw Gawlas · CERN - [Bi-Directional Isaac Sim and MuJoCo Bridge for 3D Digital Twin Powered LHC Robotic Interventions](https://invisiblenetwork.ai/learn/cern/3026713): Ogulcan Gurelli · CERN - [Isaac Sim Controls for 3D Digital Twin Powered Robotics in the LHC and FCC](https://invisiblenetwork.ai/learn/cern/3027131): Jeremi Machniewski · CERN - [NGT WP3 Representation Learning for LHC Triggers](https://invisiblenetwork.ai/learn/cern/3026722): Estefania Moreno Leon · CERN - [Container Checkpointing for interactive and Batch/ML workloads](https://invisiblenetwork.ai/learn/cern/3026653): James Bhattarai · CERN - [Benchmarking and Optimisation of High-Performance Data Access and Storage Systems](https://invisiblenetwork.ai/learn/cern/3026655): Gustavo Mattos Lopes · CERN - [Git-Based Declarative Configuration for the CTA Catalogue](https://invisiblenetwork.ai/learn/cern/3026656): Daniel Galvan Cancio · CERN - [Securing ORDS on Kubernetes: Transparent mTLS and GitOps worklofws with CNCF Service Mesh](https://invisiblenetwork.ai/learn/cern/3026658): Filip Piotr Poplewski · CERN - [Applying PQuantML to Large Architectures: Transformers for HEP and Time-Series Data](https://invisiblenetwork.ai/learn/cern/3026652): Dino Liwen Cheng · CERN - [Composable Infrastructure and Green Scheduling for Large-Scale Scientific Computing](https://invisiblenetwork.ai/learn/cern/3026654): Sebastian Andres Uribe Ruiz · CERN - [Apache Airflow POC for Data Reconciliation](https://invisiblenetwork.ai/learn/cern/3026657): Hung Manh Nguyen · CERN - [Natural-Language Querying of Large-Scale Industrial Control Systems Data](https://invisiblenetwork.ai/learn/cern/3026664): Melchior Vos · CERN - [Exploration of state-of-the-art AI-acceleration platforms for HEP use cases](https://invisiblenetwork.ai/learn/cern/3026663): Grace Margaret Rossiter · CERN - [Anomaly detection with transformer models on AMD Versal](https://invisiblenetwork.ai/learn/cern/3026661): Eliot Mario Abramo · CERN - [Energy based training of quantum circuit Born machines](https://invisiblenetwork.ai/learn/cern/3026660): Hassan El Bouz · CERN - [Evaluation of Cerabyte: Archival Data Storage Technology using Ceramic Nanolayers](https://invisiblenetwork.ai/learn/cern/3026662): Andreas Bräuer · CERN - [Exploring MCP Tooling for Debugging and Observability in Kubernetes Clusters](https://invisiblenetwork.ai/learn/cern/3026659): Elisa Marzioli · CERN - [CMS physics reconstruction running on Altera FPGAs](https://invisiblenetwork.ai/learn/cern/3026667): Farid Abi Doumit · CERN - [CMS physics reconstruction running on NextSilicon Maverick accelerators](https://invisiblenetwork.ai/learn/cern/3026668): Fernando Antonio Marques Schettini · CERN - [Agentic AI automation of UNICOS application specification processes](https://invisiblenetwork.ai/learn/cern/3026665): Daniya Niazi · CERN - [Low latency anomaly detection for the ATLAS trigger system](https://invisiblenetwork.ai/learn/cern/3026666): Jorgen Bergh · CERN - [Towards Fault Propagation Modeling in the WLCG Using Graph Neural Networks](https://invisiblenetwork.ai/learn/cern/3026669): Pavel Khudov Yakovlev · CERN - [Improving AMD support for hardware-accelerated event generation](https://invisiblenetwork.ai/learn/cern/3026670): Caitlin Buch · CERN - [Benchmarking, Evaluation & Automated Metrics](https://invisiblenetwork.ai/learn/cern/3026671): Suhani Bansal · CERN - [Integrating LLM proxy with CERN infrastructure](https://invisiblenetwork.ai/learn/cern/3026674): Nour Guermazi · CERN - [Welcome by the CERN openlab team](https://invisiblenetwork.ai/learn/cern/3026672): Luca Atzori · CERN - [Advancing NeutrinoReview: Creating an End-to-End Platform for Systematic Reviews with Large Language Models and Automated Full-Text Retrieval](https://invisiblenetwork.ai/learn/cern/3026673): Thomas Edwin Steinberger · CERN - [SG 7: Applications of Particle Physics](https://invisiblenetwork.ai/learn/cern/3026638): Aleksandar Ristić and others · CERN - [SG 9: Future of Particle Physics](https://invisiblenetwork.ai/learn/cern/3026636): Alexandra Inchenko and others · CERN - [SG 4: Engineering for Particle Physics](https://invisiblenetwork.ai/learn/cern/3026642): Nadiia Bondarenko and others · CERN - [SG 5: Computing in Particle Physics](https://invisiblenetwork.ai/learn/cern/3026643): Daniel Fitzpatrick and others · CERN - [SG 6: Data Analysis in Particle Physics](https://invisiblenetwork.ai/learn/cern/3026639): David Shani and others · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=345)