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Dettaglio Insegnamento
Anno Accademico |
2021/2022 |
Corso di Studi |
Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology |
Anno di Corso |
1 |
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
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Descrizione SSD
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CFU
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ING-INF/05
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SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
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5.0
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Scaglione
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Docente
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Programma dettagliato
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Da (compreso)
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A (escluso)
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A
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ZZZZ
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Roveri Manuel
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