Prevention, personalization, and empathy take center stage in these 15 bold predictions for the biggest research-driven breakthroughs of 2026.
Postdoctoral researcher in ML for dynamical systems representation, prediction, and state-estimation
The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches for predictive modelling and state estimation for ...
Virtually every piece of modern tech depends on semiconductors, which are rightfully considered to be modern marvels and the ...
If we could reliably detect AI use in student papers, that would leave instructors free to decide whether it impedes or ...
Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare decisions, regardless of technological improvements or funding.
Abstract: Competency-based education (CBE) in higher education demands interpretable and scalable tools to monitor student progress. Current studies on CBE have used small samples in short evaluation ...
Abstract: In this paper, we address the important problem of student academic performance prediction, with an emphasis on improving the learning process for lowering failure rates. This research has ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Machine learning has advanced significantly in recent years and is being used in higher education to perform various types of data analysis. While the literature demonstrates the application of ...
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