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The project aims to investigate the aerodynamic performance of acoustic liners interacting with non-zero pressure gradient turbulent boundary layers.

This project aims to develop an AI-based system for automated tree-cadastre analysis across North Rhine-Westphalia (NRW), with downstream applications in urban planning, industry, and forest management.

The project distils a dense decoder-only student from strong open foundation models that share a single tokenizer with the student: NVIDIA’s Nemotron-3 family and the European sovereign Soofi line.

It is widely acknowledged [SKA14] that the prediction of turbulent flow features in the presence of separation is one of the most significant challenges in fluid dynamics.

The project stands as a scientifically grounded endeavor and a sturdy foundation for legal research and practice in linguistically diverse Europe. EuroLegalLLM seeks to fill this void and pave the way for advancements in multilingual legal AI research and application.

The joined effort of OpenGPT-X and AI Sweden seeks to create a free, large-scale multilingual European language model “EuroLingua GPT” and embed it in an infrastructure that allows its potential to be leveraged by a broad range of commercial and non-commercial players.

Large language models (LLMs) are at the forefront of enormous progress in natural language processing and AI, as witnessed by models like OpenAI's ChatGPT.

EuroLoop addresses the need for parameter efficient European AI reasoning models by scaling adaptive looped transformer models up to 7B parameters.

The goal of this project is to establish Europe’s leading AI research center, ensuring technological sovereignty and reducing dependence on non-European infrastructure.

The study aims to develop the European Regulatory Compliance Copilot, an innovative AI-powered tool designed to revolutionise how organisations manage and adhere to the complex and ever-evolving landscape of regulatory compliance.