AtLaS

Project consortium

Project Summary:

The AtLaS project, focused on advancing Human Language Technology (HLT) in Defence, combines artificial intelligence (AI) and Natural Language Processing (NLP) to handle low-quality and multilingual data. AtLaS’ objectives include developing resilient systems for noise and multiple language handling, leveraging advanced training and technologies like denoising. It aims to improve Defence communication and intelligence gathering by participating in an HLT Challenge and creating adaptable systems for a European library of language technology. AtLaS addresses four Defence Use Cases, involving monitoring NATO exercises, EU field team communication, media monitoring for EU operations, and analysing intercepted communications. Its methodology includes five Technology Tracks: Robustification, Speech and Document Recognition, Multilingual Text Generation, Information Extraction, and Adaptation. These tracks focus on enhancing system resilience, accurate data processing, context-aware translation, structured information extraction, and user-driven system adaptation.

AtLaS also aims to enhance the European Defence Technological and Industrial Base (EDTIB), focusing on developing NLP components with Explainable AI tools. AtLaS includes five progressively complex evaluation campaigns to test NLP capabilities and is committed to secure management adhering to EU standards. The team comprises 10 partners from EU countries, each contributing specialized expertise in areas like AI, speech processing, and digital security. The implementation timeline is structured across 12 work packages, covering project management, technology development, and demonstrator integration. In summary, AtLaS is a strategic EU initiative to enhance Defence capabilities through advanced language technologies, addressing critical challenges in information processing and interoperability in a diverse linguistic context.

AtLaS IN KEY NUMBERS:

5,9 mio €

PROJECT BUDGET

December 2024

PROJECT START

10

CONSORTIUM PARTNERS

10

COUNTRIES

1 of 4 consortia in the DIGIT-HLTO/P Challenge

AtLaS NEWS

AtLaS First Evaluation Workshop & Best Practices Workshop, Brno University of Technology, Czech Republic

From 19 - 20 November 2025, the AtLaS project took part in the first ARCHER First Evaluation Workshop and the AtLaS Best Practices Workshop, hosted at Brno University of Technology, Czech Republic. These two days offered a valuable opportunity for our consortium to engage deeply with partners, share insights, and assess the progress achieved so far within the ARCHER and AtLaS frameworks. As we move forward, the knowledge gained during these sessions will play a crucial role in guiding the next stages of our work and ensuring that AtLaS continues to advance toward its objectives. The workshops were both intensive and inspiring, featuring constructive discussions, practical demonstrations, and meaningful exchanges with colleagues across the ARCHER community. Beyond the technical sessions, we also enjoyed wonderful moments of networking and collaboration in the city of Brno. A warm thank you to our hosts at Brno University of Technology for their excellent organization and hospitality throughout the event. #AtLaS #ARCHER #EUDefenceIndustry, #EDF, #DGDEFIS

AtLaS Kick-off meeting, 17-18 December 2024, Aalborg University

On December 17 and 18, 2024, Aalborg University had the pleasure of hosting the kick-off meeting for the AtLaS project, funded by the European Defence Fund (EDF). The AtLaS consortium consists of ten partners, combining academic institutions and industry players with strong research capabilities. Together, they represent the key areas of Human Language Technology (HLT) for Defence, artificial intelligence (AI), and Natural Language Processing (NLP) to address challenges with low-quality and multilingual data. Aalborg University is coordinating the project, and the other partners are Eviden(France), Babelscape(Italy), CrossLang(Belgium), Hensoldt Analytics(Austria), ZA Cloud(Romania), DFKI(Germany), Indigital(Greece), Barcelona Supercomputing Center(Spain), Skyld Security and Defence Limited(Cyprus).