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Roberto Maria Rosati PhD Student in Information Engineering at University of Udine Recently, matheuristics have emerged as a promising research branch in combinatorial optimization. Thanks to this collaboration supported by TAILOR connectivity fund, we will design and apply novel matheuristic techniques to a variety of timetabling problems that are under investigation at University of Udine. […]

Nikos Katzouris National Center for Scientific Research “Demokritos” The rapid progress in machine learning has been the primary reason for a fresh look in the transformative potential of AI as a whole during the past decade. A crucial milestone for taking full advantage of this potential is the endowment of algorithms that learn from experience

Mohammadreza Amirian Research assistant, Zurich University of Applied Sciences (ZHAW) After the breakthrough of transformers in the context of natural language processing, these models are now being adapted for computer vision and image classification tasks. Transformer-based models showed at least equal descriptive properties compared with convolutional models, however, initial specimen required a larger amount of

Réka Markovich Post-doctoral Researcher at Luxemburg University The ethical rules for the so-called moral behavior of AI tools are a major concern, and each AI tool has multiple stakeholders with possibly different moral backgrounds and expectations. How should we decide whose moral expectations these tools should meet? Réka Markovich’s research stay, financed by the TAILOR