Fluid-AI
FAIR Liquidity Unifying Interoperable Data and AI
The FLUID-AI project aims to develop an accessible and intuitive AI-ready environment equipped with a novel Data and Models Liquidity framework to support researchers and operators driving seamless AI-driven scientific discovery. The FLUID-AI environment will enable the target stakeholders to structure, annotate, integrate, and reuse AI-ready data and machine learning models from their own discipline, across platforms and scientific boundaries leveraging on EOSC and existing Research Infrastructures. Besides supporting the ongoing development of the EOSC as an overarching research infrastructure, FLUID-AI is addressing the specific need for enabling researchers from varied scientific communities to overcome interoperability gaps and collaborate across disciplines using standardized, AI-ready tools.
