Welcome!

This is the official web site of Siena Artificial Intelligence Laboratory. The focus of our research is on machine learning. In the last few years, we’ve been mainly involved in the conception of new theories of learning in structured domains and in their applications to pattern recognition and mining the web. We are also interested […]

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Conversational Agent Bob

Bob is prototype of a conversational agent that, differently from most of the existing commercial virtual assistants, is not only about executing commands or answering questions. Bob is a smart guy that is hungry of knowledge, and he is ready to learn from its partner in the conversation! For security reasons, a special password is […]

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[Feb 17th 2021] LabMeeting: Modeling polypharmacy side effects with graph convolutional networks

Niccolò Pancino (University of Siena) When: Feb 17, 2021 – 11:45 – 12:30 AM Where: Google meet link Description The use of drug combinations, or polypharmacy, is common to treat patients with complex diseases. However, a major consequence of polypharmacy is a much higher risk of adverse side effects for the patient. Polypharmacy side effects […]

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[Feb 10th 2021] LabMeeting: Differentiable Rendering and Adversarial Learning

Enrico Meloni (University of Siena) When: Feb 10, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Neural Models can be efficiently used for 2D and 3D reasoning. However, most 3D estimation models rely on supervised training, which comes with costly annotations of all observable 3D properties. Differentiable rendering enables 2D images to […]

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[Jan 27th 2021] LabMeeting: Mathematics of feature importance and logic constraints to feature importance

Nicola Picchiotti (University of Pavia) When: Jan 27, 2021 – 11:00 – 11:45 AM Where: Google meet link Description In the foreseeable future, a fundamental challenge of Artificial Intelligence will be the need to explain, in a human-comprehensible manner, the working of a black-box model. There are currently many different approaches to tackle the explainability […]

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[Jan 21th 2021] LabMeeting: Improved protein structure prediction using potentials from deep learning

Pietro Bongini (University of Siena) When: Jan 21, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Pietro will present a paper from Andrew W. Senior, Richard Evans, John Jumper,, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve […]

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