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Karina Gibert and Aida Valls
The gender gap (both at vocational and professional sides) in Artificial Intelligence (AI), and scientific and technological fields in general, is one of the most critical challenges that the current digital society must solve. This paper describes the p...
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Simone Arena, Giuseppe Manca, Stefano Murru, Pier Francesco Orrù, Roberta Perna and Diego Reforgiato Recupero
In the industrial domain, maintenance is essential to guarantee the correct operations, availability, and efficiency of machinery and systems. With the advent of Industry 4.0, solutions based on machine learning can be used for the prediction of future f...
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Olga Perl,Ivan Perl
Pág. 41 - 53
Increasingly, one can find research from various fields devoted to working with different formats of data, tasks, research perspectives or views on the object of research. Often these studies use the term "multimodal", which at the same time varies great...
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Enrico Barbierato and Maria Enrica Zamponi
Evaluating AI is a challenging task, as it requires an operative definition of intelligence and the metrics to quantify it, including amongst other factors economic drivers, depending on specific domains. From the viewpoint of AI basic research, the abil...
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Marina Indri, Martina Bellissimo, Stefano Pesce and Valerio Perna
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control approaches are widely investigated in various application fields and in the robotics area, too, for their robustness properties. However, they are still rarely adopted in the industrial context for the control of robot manipulators, main...
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