We work in the development of advanced artificial intelligence modelscapable of predicting and simulating future events, integrating machine learning and deep learning techniques to support decision making in different sectors.
Lines main lines of work:
- Model explainability: development of transparent and understandable AI solutions, especially in sensitive areas such as health or public management.
- Modeling and predictive simulation: use of machine learning algorithms to analyze historical data, forecast trends and simulate future scenarios.
- Quantum Machine Learning: research on how quantum computing can enhance machine learning capabilities, accelerating processes and improving model accuracy.
