Deep Learning (DL) is used in different fields of engineering and is proving exceptionally useful for solving problems of extraordinary complexity that until a few years ago could only be addres...
The course is aimed at reviewing a set of statistical and feature learning methods and tools which can be exploited in data science.We will start by studying probabilistic modeling, the problems...
The design optimization of digital circuits and systems typically consists in a three- dimensional trade-off among energy dissipation, area occupancy and computational speed.
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Spintronic technology has emerged as a promising technology to address the issues of volatility and static power dissipation resulting from the scaling down of CMOS technology towards the end of...
The "IoT and Edge Intelligence" course aims to provide basic notions relating to the technological solutions that underlie the creation of global infrastructures for the interoperability of elem...
Deep learning oriented to image classification, object detection and segmentation tasks has reached unprecedented popularity in several real-world applications, ranging from intelligent autonomo...
The ever-growing advances in science and technology have led to a rapid increase in the complexity of most engineered systems. Complex Engineered Systems (CES) are the result of this technologic...
The course is dedicated to numerical solution of global optimization problems, where the objective function is multiextremal, non-differentiable, given as a “black box”, and hard to evaluate, i....
This course provides a thorough introduction to the basics and advanced concepts of localization, with a special emphasis on IoT-based applications. Understanding localization methods and techno...
