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Cosmic strings are an expected consequence of early Universe phase transitions, arising from symmetry breaking patterns. As such, a detection would provide evidence of new physics.
This project aims to develop Tower-v3, a suite of general-purpose multilingual language models with extended context capabilities up to 128K tokens.
This project will deliver several "EU-based" large pre-trained models which will be publicly available for research and commercial use by public bodies and SMEs.
The abundance of openly available audio data in English enables pretraining of automatic speech recognition/speech-to-text models on hundreds of thousands to millions of hours of recorded speech.
The project tackles formidable aerodynamic challenges and focuses on developing compact transonic fluid machinery for hydrogen pressure gain combustion (PGC) engines—critical components for enabling long-range, high-payload, zero-emission flights.
Turbulence ultimately determines the energy confinement time of fusion devices (a very important figure of merit) and is one of the key unsolved physics problems on the path towards a commercial power plant.
Tri-StyleGen will deliver open-source models and benchmarks, advancing controllable 3D generation for applications in gaming, VR/AR, and digital content creation.
This project aims to clarify the microscopic role of water in MoS₂ coating oxidation: whether it directly participates in degradation, modifies O₂-driven pathways, or stabilizes OH, S–O and Mo–O intermediates.
Natural Language Processing (NLP) is increasingly important in our digital lives. In particular, Large language models (LLMs) such as GPT-4 and chatbots like ChatGPT are likely to profoundly impact society, affecting an estimated 80% of the workforce.
Protoplanetary discs are the birthplace of planetary systems that form around nascent stars. These discs are now observed with an exquisite resolution that allows us to probe the kinematics of the gas during planet formation.