EFficient exploratiOn of Climate dAta Locally
Program
Horizon Europe
Provider
European Commission
Investigators
Period
2024 - 2027
Description
The FOCAL project aims to advance our understanding of complex Earth systems and mitigate climate change impacts through five main objectives: developing a high-performance computing platform for better climate and earth system modelling; creating AI modules for efficient climate data exploration; designing web-apps to support decision-making; conducting pilot studies to address assessment challenges and demonstrate app benefits; and fostering a collaborative network across research, data providers, data science, and HPC infrastructure. By combining expertise and integrating data from multiple sources, FOCAL aims to improve climate models, inform policy decisions, and support sustainable development.
Symbolic and Subsymbolic Algorithmic Techniques for Modern Artificial Intelligence
Program
Studentská grantová soutěž ČVUT
Departments
Investigators
Period
2026 - 2028
Description
The project is aimed at supporting the research of doctoral students at the Department of Applied Mathematics at the Faculty of Information Technology. The topics that the doctoral students are working on include symbolic artificial intelligence techniques based on reasoning in models of the world, but also subsymbolic techniques that synthesize reasoning from training data. Within the project, we would like to connect these two paradigms as much as possible, on the symbolic side to use more available data to create models, and on the subsymbolic side not to rely entirely on machine learning, but also to address the explainability and safety of the proposed techniques.