Modeling Thermal Building Behavior through Hybrid Neural Networks

Energy is one of the key players driving the economy worldwide. The need for sustainable energy buildings is also becoming more and more a necessity, since almost 40% percent of CO2 emissions is attributed to the built environment [exa23]. The ability to replicate how a building performs in the real world is a mission critical […]

Harnessing AI for Industrial Transformation

Preliminary insights from AI-DAPT Demonstrators Artificial Intelligence (AI) has emerged as a powerful tool, transforming various industrial sectors by enhancing efficiency, productivity, and sustainability. The AI-DAPT project showcases how AI can be integrated into diverse industrial applications to address specific challenges and create innovative solutions respectful of human rights. This post delves into the AI-DAPT approach and its […]

Human Rights-driven AI Assessment of Ethical Industry 5.0

A paper on the impact of AI on Human Rights and mitigation of related risks.

The AI-DAPT Project Concept and Vision

AI-DAPT integrates advanced AI technologies with robust data management strategies across industries like Health, Robotics, Energy, and Manufacturing. Funded by the EU, it focuses on hybrid science-guided ML models and innovative applications such as non-invasive glucose monitoring and predictive maintenance, aiming to set new standards in responsible AI deployment and industrial innovation.