SOURCE-LINKED INTELLIGENCE

Trustworthy Unified Robust Intelligent Generative Systems

CORDIS · observation · Publication date unknown

ions are collectively viewed as issues of robustness. The TURING project aims to address these shortcomings by developing robust AI-driven solutions. It integrates multidisciplinary advancements from Machine Learning, Computer Engineering, Physics, and SSH to pre-train generative, multimodal foundation models capable of capturing the physics of dynamic systems that share common properties. Starting with a cautious approach, the models will incorporate representations of increasingly complex physical systems as robustness is ensured. Once pre-trained, these foundation models will be fine-tuned for specific tasks, enhancing their domain-specific robustness. The tasks will target critical engineering and physics problems in nuclear energy, particle physics, and meteorology, which are of high priority for the EU. The task-specific and foundation models, collectively termed ""TURING models"", will be developed in collaboration with partners from India, Canada, and Switzerland. To maximize the impact of TURING models, the project will ensure compliance of its activities with regulations su

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recordType

award

status

SIGNED

region

EU

value

7497790

unit

EUR