XXXVIII Edition

PhD Course: Deep Learning and Statistical Learning

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...

PhD Course: Approximate Computing for low-energy, high-speed and area-efficient digital circuits and systems: when “good enough” is better than “good”

The design optimization of digital circuits and systems typically consists in a three- dimensional trade-off among energy dissipation, area occupancy and computational speed. ...

PhD Course: IoT and Edge Intelligence

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...

PhD Course: Lipschitz Global Optimization

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....

PhD Course: Digital technologies and artificial intelligence law

The course focuses on the main legal aspects of digital technologies and artificial intelligence. Seminar room - 5th floor, cube 42C - April 26-28, 2023 (10:00-13:00) ...

Statistical data analysis and signal processing techniques for imaging and non-destructive testing

The course introduces some statistical data analysis and signal processing techniques for imaging and non-destructive testing applications which all rely on the least-squares theory. March 28,...

Gianluca Aloi

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Giandomenico Amendola

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Rocco Zito

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Luis Miguel Samaniego Campoverde

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