AI-SPRINT: Difference between revisions
Created page with "==EU Project short name::AI-SPRINT== ===EU Project full name::Artificial Intelligence in Secure PRIvacy-preserving computing coNTinuum=== '''Full project details (EU Research results portal):''' CORDIS URL::https://cordis.europa.eu/project/id/101016577 === '''Project description:''' === Artificial Intelligence (AI), to become fully pervasive, needs resources at the edge of the network. The cloud can provide the processing power needed for big data, but edge..." |
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Latest revision as of 11:57, 22 October 2025
AI-SPRINT edit edit source
Artificial Intelligence in Secure PRIvacy-preserving computing coNTinuum edit edit source
Full project details (EU Research results portal): https://cordis.europa.eu/project/id/101016577
Project description: edit edit source
Artificial Intelligence (AI), to become fully pervasive, needs resources at the edge of the network. The cloud can provide the processing power needed for big data, but edge computing is close to where data are produced and therefore crucial to their timely, flexible, and secure management. AI-SPRINT will define a framework for developing AI applications in computing continua, enabling a finely-tuned tradeoff between performance (e.g. in terms of end-to-end latency and throughput) and AI model accuracy, while providing security and privacy guarantees. AI-SPRINT outcomes are: i) simplified programming models to reduce the steep learning curves in the development of AI software in computing continua; ii) highly specialized building blocks for distributed training, privacy preservation and advanced machine learning models, to shorten time-to-market for AI applications; iii) automated deployment and dynamic reconfiguration to decrease the cost of operating AI software. Beneficiaries include end-users of AI systems, software developers, system integrators, and cloud providers. AI-SPRINT tools will make it possible to consider security and privacy early in the design stage and to seamlessly manage the time-varying conditions typical of real environments. Real-world scenarios are an integral part of AI-SPRINT as key to guiding requirements and development and validating results. Three heterogeneous use cases (farming 4.0, maintenance & inspection, and personalized healthcare) are built by industrial partners. Cutting-edge innovation is brought to the Consortium by four research partners with complementary expertise. Two system integrators provide vision on relevant verticals and technology insights, one cloud provider brings real-world implementation expertise, and two specialists in dissemination ensure impacts and uptake. AI-SPRINT will also pursue a sustainability path through the creation of an Alliance and Adopter Acceleration club as a marketplace for AI businesses
EuroVoc IDs: /natural sciences/computer and information sciences/software
EU Programme: Horizon 2020
EU Project