| ATLAS: Lossless compression of raw data for the ATLAS experiment at CERN |
| CBACK: Containerisation of CBACK backup system |
| CernVM-FS: Buildcache of vendored dependencies |
| CernVM-FS: Benchmarking of new FUSE features |
| Clad: Enable reverse-mode automatic differentiation of (CUDA) GPU kernels using Clad |
| Clad: Implement and improve an efficient, layered tape with prefetching capabilities |
| Clad: Implement Differentiating of the Kokkos Framework |
| Clad: Improve automatic differentiation of object-oriented paradigms using Clad |
| Clad: Add support for consteval and constexpr functions in Clad |
| Cppyy: Adoption of CppInterOp in ROOT |
| Cppyy: Implement CppInterOp API exposing memory, ownership and thread safety information |
| Cppyy: Enable CUDA compilation on Cppyy-Numba generated IR |
| Cppyy: STL/Eigen - Automatic conversion and plugins for Python based ML-backends |
| Ganga: Incorporate a Large Language Model to assist users |
| Geant4: Geant4-FastSim - Fast inference of Diffusion models |
| ROOT: Using ROOT in the field of genome sequencing |
| JuliaHEP: Julia interoperating with HEP C++ libraries |
| JuliaHEP: Machine Learning in Julia for Calorimeter Showers |
| Key4hep: Any collection in Data model explorer |
| MCnet: MCnet/LHAPDF - online dashboard and data-visualisation for parton density functions |
| MCnet: MCnet/Rivet - multiarch Docker images from CI |
| MCnet: MCnet/YODA - Improved unit testing and coverage reports from CI |
| Key4hep: Enabling efficient PODIO data model integration with ONNX for training and inference |
| ROOT: SOFIE Developments - Inference Code Generation for Deep Learning models |
| ROOT: ROOT - Developments - Improve Python interface for HIstograms |
| ROOT: Improving performance of BioDynaMo using ROOT C++ Modules |
| ROOT: ROOT Superbuilds |
| Xeus-Cpp: Implementing missing features in xeus-cpp |
| Xeus-Cpp: Integrate a Large Language Model with the xeus-cpp Jupyter kernel |