SAILab

Enrico Meloni (University of Florence) Nov 27, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Recently, there have been many breakthroughs in computer vision thanks to Deep Learning. The availability of huge annotated datasets was one of the reasons of this success, if not the most important. However, these datasets […]

Paolo Andreini (University of Siena) Nov 20, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In recent years, the use of deep learning is becoming increasingly popular in computer vision. However, the effective training of deep architectures usually relies on huge sets of annotated data. This is critical in the […]

Andrea Zugarini (University of Florence) Nov 13, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Despite considerable advancements with deep neural language models, they still struggle when tested as text generators. In this seminar we analyse the reasons of such a counter-intuitive behaviour, mainly guided by the considerations and findings […]

Gabriele Ciravegna (University of Florence) Nov 6, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Deep learning is at the heart of the current rise of artificial intelligence. In the field of Computer Vision, it has become the workhorse for applications ranging from self-driving cars to surveillance and security. Whereas […]

Dr. Eduardo Alonso and Johann Bauer (University of London) Oct 23, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The multi-population replicator dynamics (RD) is useful both in the study of co-evolving populations as well as of learning in multi-player games, and we sketch the relation between RD and a […]

Giorgia Giacomini (University of Siena) Oct 16, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Over the past decades, the introduction of massively parallel sequencing platforms, known as Next Generation Sequencing (NGS), changed the landscape of the genetics studies in cancer genomics. NGS technologies allow for detection and quantification of […]

Luca Pasqualini (DIISM, University of Siena) Oct 9, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Pseudo-Random Numbers Generators (PRNGs) are algorithms produced to generate long sequences of statistically uncorrelated numbers, i.e. pseudo-random numbers (PRNs). Those numbers are used in mid-level cryptography and in many software applications and libraries. Test […]

Matteo Tiezzi (DIISM, University of Siena) Sep 25, 2019 – 3:00 PM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description One characteristic that sets humans apart from modern learning-based computer vision algorithms is the ability to acquire knowledge about the world and use that knowledge to reason about the visual world. Humans can learn […]