Research Pillars

Green AI

The Green AI pillar focuses on developing energy-efficient AI methods and metrics to reduce the carbon footprint of AI systems, from low-resource embedded devices to large cloud platforms. It aims to enable sustainable AI solutions that maintain performance while minimizing environmental impact, supporting climate action and green digital transformation goals. 

Research Areas
Research Topics
Projects from Open Calls
Project: Developing a framework for green AI practices 
Project: Information-theoretic analysis of generalization in deep learning
Project: Advancing World model Learning with Neural Cloned-Structured Causal Graphs 
Project: Optimal hybrid AI strategies for battery management and state estimation 
Project: Hybrid AI Model for Mixed-Gas Sorption Upper Bounds