Effector:

Effector: an eXplainability library for global and regional effects

Optimizing Data Quality and Interpretability with Data Valuation

In the fast-evolving area of AI, the AI-DAPT framework stands out for emphasizing data quality and valuation asdriving factors for more accurate and robust Machine Learning (ML) models. Data valuation is a critical processthat assesses the quality and the contribution of data in relation to ML models performance or an entire AIsystem. The data valuation […]

SETU Partner Spotlight

Building on this foundation, SETU will lead Task 4.4, designing a comprehensive software validation and verification framework for all AI-DAPT services.

AI-DAPT’s vision for Bridging Energy Markets and Home Heating

In the rapidly evolving landscape of energy systems, a comprehensive approach is emerging that transforms residential heating systems from a passive consumption point to an active, intelligent market participant. The AI-DAPT project unveils a novel methodology that creates a dynamic dialogue between energy markets and residential heating infrastructure, ensuring that human judgment is always the […]

Fraunhofer FOKUS

The Fraunhofer Society, based in Germany, is a leading applied research organization.

SUITE5 Parter Spotlight

SUITE5, based in Limassol, Cyprus, is a data intelligence SME and the Technical Coordinator of AI-DAPT, ensuring innovative AI solutions across various industries.

ATHENA Research Center

AΤΗΕΝΑ, as the Coordinator of AI-DAPT, focuses on Informatics and Computational Sciences, addressing global challenges with impactful AI-driven solutions.

AI-DAPT’s Journey

AI-DAPT’s project aims to incorporate MLOps and AutoML into its framework to innovate, stay in the forefront of AI model implementation and revolutionize the findings across various industries.