We co-found a new COST Action on Control Theory and Machine Learning
We are proud to announce that our department is a co-founder of the recently launched COST Action CA24136: Interactions between Control Theory and Machine Learning (InterCoML). Securing this grant was a significant milestone, as the proposal was among the elite 8.3% of applications selected for funding. InterCoML aims to advance research at the intersection of […]