Collectionless AI is the name we gave to a new perspective on AI/ML, focussed on “learning over time” in a continual manner, exploiting the information which is available at each time instant and interacting with other agents or humans. This setting has several important implications which might overcome the data-related issues which are typical of […]
Read More »On May 6th and 7th, QuestIt and SAILab inaugurated the joint lab for artificial intelligence. The event was attended by important guests from academia and companies. Those who were unable to attend the event can find the videos of the talks below, followed by a press review. March 6th, Greetings and First Part March 6th, […]
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Three of our PhD students Matteo Tiezzi, Dario Zanca, Andrea Zugarini, together with Alessandro Rossi, former PhD student of our lab as well, won the SoBigData Soccer Data Challenge, held in Pisa on October 12-13 during the Internet Festival 2018. The competition was open to people with a passion for data and soccer. For 30 […]
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Lisa Graziani, PhD Student of Universities of Florence and Siena, received best student paper award at AI*IA 2018 (International Conference of the Italian Association for Artificial Intelligence). The awarded paper is “The Role of Coherence in Facial Expression Recognition” written by Lisa Graziani, Stefano Melacci and Marco Gori. It will be presented during the conference, […]
Read More »Prof. Yoshua Bengio (University of Montreal, Department of Computer Science and Operations Research (DIRO) ) Jul 23, 2018 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The traditional Machine Learning picture is that optimization and generalization are neatly separated aspects. That makes theory easier to handle, separately, but unfortunately this is not the case. Stochastic […]
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Three of our PhD students (Giuseppe Marra, Dario Zanca, and Andrea Zugarini, together with Giovanni Ciccone) won the Hackathon Mediaset Infinity, held in Rimini at Web Marketing Festival 2018. The goal of the challenge was to predict churn rate of users registered in infinitytv platform. Ten teams, composed of both students and professionals from Statistics […]
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