LINGUARISE-DC embodies a transformative initiative to address the critical need for advanced language processing in the European defence sector. By leveraging cutting-edge Human Language Technologies (HLT), the project aims to enhance communication proficiency, intelligence gathering, and collaboration within ad-hoc coalitions, ultimately contributing to the success of EU-led missions.

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The LLMs4EU project, coordinated by the Alliance for Language Technologies (ALT-EDIC), aims to preserve European linguistic and cultural diversity in the digital age through cooperation between economic and academic actors. Indeed, some European languages are threatened to be left aside from generative AI development due to the lack of resources to train language models.

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FAIR2Adapt is a multidisciplinary project geared towards transforming data into actionable knowledge to shape climate adaptation strategies. By leveraging and collaborating with EOSC, we fully tap into the EOSC’s wide range of services, the FAIR Implementation Framework Catalogue of Resources, and align with the EOSC interoperability framework. We adopt FAIR Digital Objects (FDOs) by using RO…

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The Call requires (a) to build a network of practitioners from security and intelligence services of EU MS & AC that has the objective (b) to support the needs of the security and intelligence services of the MS & AC for future security research programming. To address these requirements, NOTIONES consortium includes: (a) 15 practitioners from military, civil, financial, judiciary, local…

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The EU- funded CyclOps project aims to facilitate the adoption and production of data, models, and services from and for data spaces to enable AI-based data-driven applications for all players, business and research alike​. The objective is to provide interoperable, trustworthy and secure automatic management, governance, and maintenance of the entire data life cycle for large-scale volumes…

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The project ‘I-FISH – Intelligent System for Production, Distribution and Traceability of Fish-Based Functional Foods’ is set in a context of reference such as the evolution of the modern consumer’s attitude towards food choices and consumption and aims at the development of an intelligent system for the design, production and distribution of fish-based functional foods. The proposed system will…

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SILVANUS envisages to deliver an environmentally sustainable and climate resilient forest management platform through innovative capabilities to prevent and combat against the ignition and spread of forest fires. The platform will cater to the demands of efficient resource utilization and provide protection against threats of wildfires encountered globally. The project will establish synergies…

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The data enrichment process is implemented by specifying, deploying, and executing data enrichment pipelines over data that can be structured, semi-structured and unstructured, in large amounts, and from static or streaming sources. While techniques exist to cover different enrichment operations such as data cleaning, linking, feature extraction, classification and semantic annotation, etc.

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The aim of DOME to support businesses and public organisations digital transformation making available a catalogue of cloud-to-edge offerings in Europe. Different stakeholders will benefit from the DOME catalogue of cloud and edge services in different ways. Project Duration: 36 months Period: Jan 2023 – Jun 2025 42 Partners Type of Funding: DIGITAL-2021-CLOUD-AI-01…

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MAESTRO’s goal is to study new features for a “Practical AI”. Features such as:explicability of the algorithm; “consumption” of the algorithm (both in terms of energy and human resources to maintain it); ease of deployment (local or cloud-based installation, etc.), are crucial to apply in the “real” world AI systems but they are also features that present several critical issues in today’s most…

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