\u0412\u0456\u0434\u043a\u0440\u0438\u0442\u043e \u0442\u0440\u0435\u0442\u0456\u0439 \u043a\u043e\u043d\u043a\u0443\u0440\u0441 \u043f\u0440\u043e\u0454\u043a\u0442\u0456\u0432 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u0438 \u043e\u0431\u043c\u0456\u043d\u0443 ENFIELD European Lighthouse to Manifest Trustworthy and Green AI \u0443 \u043c\u0435\u0436\u0430\u0445 \u00ab\u0413\u043e\u0440\u0438\u0437\u043e\u043d\u0442 \u0404\u0432\u0440\u043e\u043f\u0430\u00bb.<\/p>\n\n\n\n
\u0414\u043e \u0443\u0447\u0430\u0441\u0442\u0456 \u0432 \u043a\u043e\u043d\u043a\u0443\u0440\u0441\u0456 \u0437\u0430\u043f\u0440\u043e\u0448\u0443\u044e\u0442\u044c\u0441\u044f \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u043a\u0438 (\u0430\u0441\u043f\u0456\u0440\u0430\u043d\u0442\u0438, \u0434\u043e\u043a\u0442\u043e\u0440\u0430\u043d\u0442\u0438 \u0456 \u0441\u0442\u0430\u0440\u0448\u0456 \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u043a\u0438) \u0430\u0431\u043e \u0433\u0440\u0443\u043f\u0438 \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u043a\u0456\u0432 \u0437 \u043f\u0440\u043e\u0454\u043a\u0442\u0430\u043c\u0438, \u044f\u043a\u0456 \u0432\u0438\u0440\u0456\u0448\u0443\u044e\u0442\u044c \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f ENFIELD \u0456 \u0441\u043f\u0440\u0438\u044f\u044e\u0442\u044c \u043d\u043e\u0432\u0438\u043c \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f\u043c \u0442\u0430 \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u044f\u043c \u0448\u0442\u0443\u0447\u043d\u043e\u0433\u043e \u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443. \u0414\u0430\u043d\u0456 \u043f\u0440\u043e\u0454\u043a\u0442\u0438 \u0440\u043e\u0437\u0432\u0438\u0432\u0430\u0442\u0438\u043c\u0443\u0442\u044c \u0444\u0443\u043d\u0434\u0430\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u0456 \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f \u0432 \u0433\u0430\u043b\u0443\u0437\u0456 \u0430\u0434\u0430\u043f\u0442\u0438\u0432\u043d\u043e\u0433\u043e, \u0435\u043a\u043e\u043b\u043e\u0433\u0456\u0447\u043d\u043e\u0433\u043e, \u043b\u044e\u0434\u0438\u043d\u043e-\u043e\u0440\u0456\u0454\u043d\u0442\u043e\u0432\u0430\u043d\u043e\u0433\u043e \u0442\u0430 \u043d\u0430\u0434\u0456\u0439\u043d\u043e\u0433\u043e \u0428\u0406. \u0426\u0456 \u043d\u0430\u043f\u0440\u044f\u043c\u043a\u0438 \u0454 \u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0456\u0447\u043d\u0438\u043c\u0438 \u0456 \u043c\u0430\u044e\u0442\u044c \u043f\u0435\u0440\u0448\u043e\u0447\u0435\u0440\u0433\u043e\u0432\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0434\u043b\u044f \u0443\u0441\u043f\u0456\u0448\u043d\u043e\u0457 \u0440\u043e\u0437\u0440\u043e\u0431\u043a\u0438, \u0440\u043e\u0437\u0433\u043e\u0440\u0442\u0430\u043d\u043d\u044f \u0442\u0430 \u0441\u043f\u0440\u0438\u0439\u043d\u044f\u0442\u0442\u044f \u0428\u0406 \u0432 \u0404\u0432\u0440\u043e\u043f\u0456, \u0430 \u0442\u0430\u043a\u043e\u0436 \u0441\u043f\u0440\u0438\u044f\u0442\u0438\u043c\u0443\u0442\u044c \u043f\u043e\u0434\u0430\u043b\u044c\u0448\u043e\u043c\u0443 \u043f\u0440\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u044e \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u044c \u0443 \u0442\u0430\u043a\u0438\u0445 \u0433\u0430\u043b\u0443\u0437\u044f\u0445, \u044f\u043a \u043e\u0445\u043e\u0440\u043e\u043d\u0430 \u0437\u0434\u043e\u0440\u043e\u0432’\u044f, \u0435\u043d\u0435\u0440\u0433\u0435\u0442\u0438\u043a\u0430, \u0432\u0438\u0440\u043e\u0431\u043d\u0438\u0446\u0442\u0432\u043e \u0456 \u043a\u043e\u0441\u043c\u043e\u0441.<\/p>\n\n\n\n
\u041e\u0441\u043d\u043e\u0432\u043d\u0456 \u043c\u043e\u0436\u043b\u0438\u0432\u043e\u0441\u0442\u0456:<\/p>\n\n\n\n
\u0424\u0456\u043d\u0430\u043d\u0441\u0443\u0432\u0430\u043d\u043d\u044f \u043a\u043e\u0440\u043e\u0442\u043a\u043e\u0441\u0442\u0440\u043e\u043a\u043e\u0432\u0438\u0445 \u043c\u0456\u0441\u0456\u0439 (\u0432\u0456\u0434 3 \u0434\u043e 6 \u043c\u0456\u0441\u044f\u0446\u0456\u0432) \u0443 \u043f\u0440\u043e\u0432\u0456\u0434\u043d\u0438\u0445 \u0454\u0432\u0440\u043e\u043f\u0435\u0439\u0441\u044c\u043a\u0438\u0445 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430\u0445, \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u0446\u044c\u043a\u0438\u0445 \u0446\u0435\u043d\u0442\u0440\u0430\u0445 \u0442\u0430 \u043e\u0440\u0433\u0430\u043d\u0456\u0437\u0430\u0446\u0456\u044f\u0445.<\/p>\n\n\n\n
\u041f\u0456\u0434\u0442\u0440\u0438\u043c\u043a\u0430 \u0441\u043f\u0456\u043b\u044c\u043d\u0438\u0445 \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u0446\u044c\u043a\u0438\u0445 \u043f\u0440\u043e\u0454\u043a\u0442\u0456\u0432, \u0441\u043f\u0440\u044f\u043c\u043e\u0432\u0430\u043d\u0438\u0445 \u043d\u0430 \u0440\u043e\u0437\u0432\u0438\u0442\u043e\u043a \u0456\u043d\u043d\u043e\u0432\u0430\u0446\u0456\u0439\u043d\u0438\u0445 \u0440\u0456\u0448\u0435\u043d\u044c \u0443 \u043f\u0440\u0456\u043e\u0440\u0438\u0442\u0435\u0442\u043d\u0438\u0445 \u0441\u0444\u0435\u0440\u0430\u0445, \u0442\u0430\u043a\u0438\u0445 \u044f\u043a \u0448\u0442\u0443\u0447\u043d\u0438\u0439 \u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442, \u043a\u0456\u0431\u0435\u0440\u0431\u0435\u0437\u043f\u0435\u043a\u0430, \u0435\u043d\u0435\u0440\u0433\u0435\u0442\u0438\u0447\u043d\u0456 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0457, \u043e\u0445\u043e\u0440\u043e\u043d\u0430 \u0437\u0434\u043e\u0440\u043e\u0432\u2019\u044f \u0442\u0430 \u0441\u0442\u0456\u0439\u043a\u0456\u0441\u0442\u044c \u0434\u043e \u0437\u043c\u0456\u043d \u043a\u043b\u0456\u043c\u0430\u0442\u0443.<\/p>\n\n\n\n
\u0421\u0442\u0430\u0436\u0443\u0432\u0430\u043d\u043d\u044f \u0442\u0430 \u043d\u0430\u0432\u0447\u0430\u043d\u043d\u044f \u0443 \u0441\u043f\u0435\u0446\u0456\u0430\u043b\u0456\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u0446\u044c\u043a\u0438\u0445 \u043b\u0430\u0431\u043e\u0440\u0430\u0442\u043e\u0440\u0456\u044f\u0445 \u0442\u0430 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0447\u043d\u0438\u0445 \u0445\u0430\u0431\u0430\u0445.<\/p>\n\n\n\n
\u041f\u043e\u0441\u0438\u043b\u0435\u043d\u043d\u044f \u043c\u0456\u0436\u043d\u0430\u0440\u043e\u0434\u043d\u043e\u0457 \u043a\u043e\u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457 \u0442\u0430 \u0456\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0456\u044f \u0443\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0438\u0445 \u0444\u0430\u0445\u0456\u0432\u0446\u0456\u0432 \u0443 \u0454\u0432\u0440\u043e\u043f\u0435\u0439\u0441\u044c\u043a\u0456 \u043d\u0430\u0443\u043a\u043e\u0432\u043e-\u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0456 \u0456\u043d\u0456\u0446\u0456\u0430\u0442\u0438\u0432\u0438.<\/p>\n\n\n\n
\u041a\u043e\u043d\u043a\u0443\u0440\u0441 \u043f\u0435\u0440\u0435\u0434\u0431\u0430\u0447\u0430\u0454 \u043f\u0456\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0443 \u0442\u0430 \u043f\u043e\u0434\u0430\u043d\u043d\u044f \u043f\u043e\u0432\u043d\u043e\u0457 \u0430\u043f\u043b\u0456\u043a\u0430\u0446\u0456\u0439\u043d\u043e\u0457 \u0444\u043e\u0440\u043c\u0438 \u0447\u0435\u0440\u0435\u0437 \u043e\u043d\u043b\u0430\u0439\u043d \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0443 \u0404\u0432\u0440\u043e\u043f\u0435\u0439\u0441\u044c\u043a\u043e\u0457 \u043a\u043e\u043c\u0456\u0441\u0456\u0457 EU Funding & Tenders Portal.<\/p>\n\n\n\n
Green AI<\/strong><\/p>\n\n\n\n G-AI.1 Green AI Metrics<\/p>\n\n\n\n G-AI.2 Physics-Informed Machine Learning<\/p>\n\n\n\n G-AI.3 The Policy Landscape for Green AI<\/p>\n\n\n\n G-AI.4 Green Generative Language Models<\/p>\n\n\n\n G-AI.5 Energy-Efficient Large Language Models for Sustainable Software Engineering<\/p>\n\n\n\n G-AI.6 Green World Models<\/p>\n\n\n\n G-AI.7 Cooperative Multi-agent Green AI<\/p>\n\n\n\n Adaptative-AI<\/strong><\/p>\n\n\n\n A-AI.1 Adaptive AI for Environmental Monitoring: Multimodal Data Fusion for Context Aware Deployment<\/p>\n\n\n\n A-AI.2 Adaptive AI for Multimedia: Learned Compression and Real-Time Applications<\/p>\n\n\n\n A-AI.3 Adaptive AI on the Edge \u2013 Innovations for Resource-Constrained Systems<\/p>\n\n\n\n A-AI.4 LLM on the Edge<\/p>\n\n\n\n A-AI.5 Adaptive AI-Powered Digital Twin for Innovating Healthcare Security and Resilience<\/p>\n\n\n\n A-AI.6 Adaptive AI for Generalizable and Multimodal Semantic Reasoning<\/p>\n\n\n\n A-AI.7 Zero-shot large-scale biomedical entity matching and linking<\/p>\n\n\n\n A-AI.8 Parameter Efficient Algorithms for Foundation models<\/p>\n\n\n\n A-AI.9 Robustness and Generalization in single or multi-modal models<\/p>\n\n\n\n Human-Centric AI<\/strong><\/p>\n\n\n\n HC-AI.1 Interpretability and uncertainty in predictive models<\/p>\n\n\n\n HC-AI.2 Improving transparency and explainability of web-based AI systems through semi-structured natural language descriptions<\/p>\n\n\n\n HC-AI.3 Explainable AI for Multimodal and Sequential Data Analysis in Physical and Chemical Processes.<\/p>\n\n\n\n Trustworthy AI<\/strong><\/p>\n\n\n\n T-AI.1 Security and Robustness of AI systems<\/p>\n\n\n\n T-AI.2 Privacy and Compliance of AI systems<\/p>\n\n\n\n T-AI.3 Trustworthy ML based scheduling for the energy domain<\/p>\n\n\n\n T-AI.4 AI in Distributed Systems<\/p>\n\n\n\n T-AI.5 Assessing Trustworthiness of Distributed AI Systems<\/p>\n\n\n\n T-AI.6 Brain-to-Speech Interface: From Neural Signals to Communication Restoration<\/p>\n\n\n\n T-AI.7 Secure Voice Biometrics with Fake Voice Detection<\/p>\n\n\n\n Energy<\/strong><\/p>\n\n\n\n VE.1 Combine AI with LLM for clear human interaction with complex data<\/p>\n\n\n\n VE.2 LLM based data queries and visualization<\/p>\n\n\n\n Space<\/strong><\/p>\n\n\n\n VS.1 Synthetic dataset generation of foreign object debris on runways and FATOs<\/p>\n\n\n\n VS.2 Detection of potential water illegal abstractions using Artificial Intelligence and Earth Observation<\/p>\n\n\n\n VS.3 Causal Machine Learning model to identify agricultural practices aiding in yield productivity improvement using Earth Observation (EO) data<\/p>\n\n\n\n Manufacturing<\/strong><\/p>\n\n\n\n VM.1 Context-agnostic Computer Vision human detection<\/p>\n\n\n\n VM.2 Machine Learning-based stress detection for human <\/p>\n\n\n\n \u0414\u043b\u044f \u043a\u043e\u0433\u043e: \u043a\u0430\u043d\u0434\u0438\u0434\u0430\u0442\u0438 \u043d\u0430\u0443\u043a, \u0430\u0441\u043f\u0456\u0440\u0430\u043d\u0442\u0438, \u0441\u0442\u0430\u0440\u0448\u0456 \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u043a\u0438.<\/p>\n\n\n\n \u0411\u044e\u0434\u0436\u0435\u0442: 14 400 \u0454\u0432\u0440\u043e (2400 \u0454\u0432\u0440\u043e \u043d\u0430 \u043c\u0456\u0441\u044f\u0446\u044c)<\/p>\n\n\n\n \u0414\u0435\u0434\u043b\u0430\u0439\u043d: 14 \u043a\u0432\u0456\u0442\u043d\u044f 2025 \u0440. (17:00 CET)<\/p>\n\n\n\n APPLICATION PROCESS<\/p>\n\n\n\n The application process is described in more detail in the Guide for Applicants available at https:\/\/www.enfield-project.eu\/oc3_TES_2025<\/a>.<\/p>\n\n\n\n Project proposals must be submitted by completing the application online, here: https:\/\/ec.europa.eu\/eusurvey\/runner\/oc3-2025-TES-01<\/a><\/p>\n\n\n\n Proposals must include a Technical Annex. The template can be found here: https:\/\/www.enfield-project.eu\/oc3_TES_2025<\/a>.<\/p>\n\n\n\n Proposals must include a 2-minute video from the applicant presenting themself (or the group of researchers), submitted in English.<\/p>\n\n\n\n \u0414\u0435\u0442\u0430\u043b\u044c\u043d\u0456\u0448\u0435: <\/p>\n\n\n\n https:\/\/ec.europa.eu\/info\/funding-tenders\/opportunities\/portal\/screen\/opportunities\/competitive-calls-cs\/10001?isExactMatch=true&status=31094501&type=8&order=DESC&pageNumber=1&pageSize=50&sortBy=startDate<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" \u0412\u0456\u0434\u043a\u0440\u0438\u0442\u043e \u0442\u0440\u0435\u0442\u0456\u0439 \u043a\u043e\u043d\u043a\u0443\u0440\u0441 \u043f\u0440\u043e\u0454\u043a\u0442\u0456\u0432 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u0438 \u043e\u0431\u043c\u0456\u043d\u0443 ENFIELD European Lighthouse to Manifest Trustworthy and Green AI \u0443 \u043c\u0435\u0436\u0430\u0445 \u00ab\u0413\u043e\u0440\u0438\u0437\u043e\u043d\u0442 \u0404\u0432\u0440\u043e\u043f\u0430\u00bb. \u0414\u043e \u0443\u0447\u0430\u0441\u0442\u0456 \u0432 \u043a\u043e\u043d\u043a\u0443\u0440\u0441\u0456 \u0437\u0430\u043f\u0440\u043e\u0448\u0443\u044e\u0442\u044c\u0441\u044f \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u043a\u0438 (\u0430\u0441\u043f\u0456\u0440\u0430\u043d\u0442\u0438, \u0434\u043e\u043a\u0442\u043e\u0440\u0430\u043d\u0442\u0438 \u0456 \u0441\u0442\u0430\u0440\u0448\u0456 \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u043a\u0438) \u0430\u0431\u043e \u0433\u0440\u0443\u043f\u0438 \u0434\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u043a\u0456\u0432 \u0437 \u043f\u0440\u043e\u0454\u043a\u0442\u0430\u043c\u0438, \u044f\u043a\u0456 \u0432\u0438\u0440\u0456\u0448\u0443\u044e\u0442\u044c \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f ENFIELD \u0456 \u0441\u043f\u0440\u0438\u044f\u044e\u0442\u044c \u043d\u043e\u0432\u0438\u043c \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f\u043c \u0442\u0430 \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u044f\u043c \u0448\u0442\u0443\u0447\u043d\u043e\u0433\u043e \u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443. \u0414\u0430\u043d\u0456 \u043f\u0440\u043e\u0454\u043a\u0442\u0438 \u0440\u043e\u0437\u0432\u0438\u0432\u0430\u0442\u0438\u043c\u0443\u0442\u044c \u0444\u0443\u043d\u0434\u0430\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u0456 \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f \u0432 \u0433\u0430\u043b\u0443\u0437\u0456 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