Anomaly Detection for Ultra Low Latency Event Selection at the LHC (ATLAS Experiment)
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Anomaly Detection for Ultra Low Latency Event Selection at the LHC (CMS Experiment)
Investigation of Anomaly Detection Algorithms for Filtering Events with Microseconds Latency in the ATLAS Hardware-Level Trigger
Expanding CERN’s Expertise in NVIDIA Technologies for Scientific Computing
Heterogeneous Architectures Testbed
Industrial Edge-Cloud and AI-based Agents
Next Generation Archiver for WinCC OA
Next-Generation Exascale Flash Storage
Evaluation of Cerabyte – Archival Data Storage Technology Using Ceramic Nanolayers
Applied Multi-Disciplinary AI on High-Performance Computing
Oracle Kubernetes Operator
Cost Optimization and Sustainability for Public Cloud Provider (Carbon Aware FinOps)
Digital Twin: Data Science Engine
BioDynaMo: Biology Dynamics Modeller
Geometric Quantum Machine Learning with Neutral Atoms
SPECTRUM
ODISSEE
Quantum Databases for Dynamic Data Storage
Facilitate and Automatize Kubernetes Operations
Integration of Oracle Cloud Resources into CERN IT Business Continuity & Disaster Recovery
interTwin: Co-designing and Prototyping an Interdisciplinary Digital Twin Engine
EMP2: Environmental Modelling and Prediction Platform
Digital Twin and Synthetic Data in Healthcare
AI Models Registry in the Cloud
Evaluation of Power CPU Architectures for Deep Learning
Center of Excellence on AI and Simulation-Based Engineering at Exascale (CoE RAISE)
Real-time Data Processing for Level-1 Trigger: Scouting at CMS using CXL Memory-Lake Architecture
Fast Detector Simulation
Madgraph5
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