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Dettaglio Insegnamento

Contesto
Anno Accademico 2021/2022
Corso di Studi Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology
Anno di Corso 1

Scheda Insegnamento
Codice Identificativo 057363
Denominazione Insegnamento EMBEDDED AND EDGE ARTIFICIAL INTELLIGENCE
Tipo Insegnamento MONODISCIPLINARE
Crediti Formativi Universitari (CFU) 5.0
Programma sintetico Advances in Internet of Things (IoT) and Cyber-Physical systems (CPSs) have opened the way to a pervasive presence of distributed embedded applications in our everyday lives as well as in diversified segments of the market. However, in order to meet user expectations and satisfy application, constraints intelligent functionalities are requested so as to design collaborative intelligent devices and autonomous systems. The aim of this course, thought for Ph.D. and Master students, is to address such a novel technological and scientific challenge, called Embedded and Edge AI (i.e., AI on the edge of the system), by exploring hardware, software and algorithmic solutions to support the training and inference of Machine and Deep Learning solutions on (networks of) devices constrained in computation resources, memory and energy.
Settori Scientifico Disciplinari (SSD)
Codice SSD Descrizione SSD CFU
ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI 5.0

Dettaglio
Scaglione Docente Programma dettagliato
Da (compreso) A (escluso)
A ZZZZ Roveri Manuel
manifestidott v. 1.7.0 / 1.7.0
Area Servizi ICT
12/08/2022