| ATLAS: Precision Recovery in Lossy-Compressed Floating Point Data for High Energy Physics |
| BALER: The rise of the machine (learning) in data compression for high energy physics and beyond |
| Baler: Probabilistic circuit for lossless HEP data compression |
| BioDynamo: Agent-Based Simulation of CAR-T Cell Therapy Using BioDynaMo |
| Patatrack: Development of an auto-tuning tool for the CLUEstering library |
| Clad: Implement and improve an efficient, layered tape with prefetching capabilities |
| Clad: Enhancing LLM Training with Clad for efficient differentiation |
| Clad: Enable automatic differentiation of OpenMP programs with Clad |
| Clad: Enable automatic differentiation of OpenMP programs with Clad |
| Clad: Integrate Clad to PyTorch and compare the gradient execution times |
| Clad: Enable automatic differentiation of C++ STL concurrency primitives in Clad |
| Clad: Support usage of Thrust API in Clad |
| Constellation: Extending the User Interface |
| CppInterOp: Implement CppInterOp API exposing memory, ownership and thread safety information |
| Ganga: Incorporate a Large Language Model to assist users |
| Ganga: Implement a deprecation system to keep code up to date |
| Geant4: Geant4-FastSim - Data Representation Optimisation for Generative Model-based Fast Calorimeter Shower Simulation |
| ROOT: Using ROOT in the field of genome sequencing |
| CICADA: Highly Granular Quantization for CICADA |
| HSFCondDB: Intelligent Log Analysis for the HSF Conditions Database |
| CppInterOp: Interactive Differential Debugging - Intelligent Auto-Stepping and Tab-Completion |
| JuliaHEP: Julia Interfaces to HepMC3 |
| MCnet: MCnet/MCviz - graph and 3D-viewer tools for simulated particle collisions |
| MCnet: MCnet/OpenData - tools and exercises for open-data exploration with MC simulations |
| ROOT: RNTuple in JSROOT |
| Rucio: Rucio WebUI Revamp |
| BEAD: Background Enrichment augmented Anomaly Detection (BEAD) for new physics searches at LHC |
| SMARTHEP: Estimating the energy cost of ML scientific software |
| ROOT: TMVA SOFIE - GPU Support for Machine Learning Inference |
| ROOT: TMVA SOFIE - HLS4ML Integration for Machine Learning Inference |
| Xeus-Cpp: Implementing Debugging Support |
| Xeus-Cpp: Enable GPU support and Python Interoperability via a Plugin System |