The dominant paradigm in modern AI rests on a deceptively simple premise: intelligence emerges from minimizing prediction error across vast datasets. We train neural networks to be accurate, to match patterns, to reduce loss functions. Yet this approach, for all its empirical success, may be fundamentally misaligned with the nature of intelligence itself. Here is […]

With a passion for artificial intelligence and a journey spanning academia and industry across Europe, Asad Munir brings a global perspective to the University of Tartu’s Institute of Computer Science. He was interviewed by professor Jaak Vilo, Head of the Chair of Data Science. You came lately to Estonia to the Institute of Computer Science […]

Abbas Cheddad is an Associate Professor of Applied Data Science at the Institute of Computer Science. His research focuses on computer vision, applied machine learning, and image processing and analysis. He was interviewed by professor Jaak Vilo, Head of the Chair of Data Science. You came lately to Estonia to the Institute of Computer Science […]