Automating satellite-based ice charting using AI Speaker: Leif Toudal Pedersen  —  Technical University of Denmark High resolution Synthetic Aperture Radar (SAR) satellite images are used extensively for producing sea ice charts in support for Arctic navigation. However, due to ambiguities in the relationship between C-band SAR backscatter and ice...

Collaborative dataset generation for object detection on satellite imagery Teacher: Juan B. Pedro — Starlab Some studies suggest that most data scientists spend only 20% of their time on actual data analysis and 80% of their time finding, cleaning and reorganizing data. This inefficiency can increase even more when working...

Machine Learning and Deep Learning for Computer Vision Teachers: Andrè Panisson, Alan Perotti — ISI Foundation This in-depth part of the course allows to build an appealing and diversified Machine Learning portfolio. It starts with a Machine Learning introduction and application with Scikit-learn, and continues with Neural Networks and backpropagation...

Advanced Deep Learning for NLP Teacher: Cristiano De Nobili – Harman-Samsung This lecture is intended to be an advanced Deep Learning lecture on NLP. In the first part, we touch some relevant concepts in NLP, such as word and character embedding. In addition, we review with the ‘eye of a...

Let’s meet HPC4AI Speaker: Marco Aldinucci — Coordinator of Turin’s competence center in HPC for Artificial Intelligence and National delegate (Italy) at the EuroHPC governing board In this talk we’ll meet and explore the Turin’s High-Performance Centre for Artificial Intelligence. The University of Turin and Polytechnic University of Turin have joined forces...

Formalizing (and achieving?) Fairness in Machine Learning Teacher: Antonio Vetrò — Politecnico di Torino (Nexa Center for Internet & Society, DAUIN and Future Urban Legacy Lab) Machine Learning techniques are a fundamental tool for automated decision systems and recommenders that substitute or support experts in a high number of decisions...

Epidemics in Networks and Space Teacher: Matteo Chinazzi — MoBS Lab, Northeastern University Matteo Chinazzi is an Associate Research Scientist at the Laboratory for the Modeling of Biological and Socio-Technical Systems (MOBS Lab) and Part-time Faculty at Northeastern University. This workshop will provide an introduction to the simulation of...