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ARTIST - Pervasive ARTIficial Intelligence for Next-G Softwarized neTworks

III EDITION | ON SITE | APPLICATION


Deadline for Registration

April 22nd, 2024

The outcome of the application will be communicated to all candidates by email after the deadline.


Period

June 3rd-7th, 2024


Learning objectives

Future mobile network technologies (B5G, 6G, i.e. next-G) will allow the creation of new applications that will transform the way people live, work and interact with the environment. The educational objectives of the proposed seasonal school are to understand and to learn:

  • the architectures of future cellular systems with regard to the radio interface, the wired segment and the software components such as virtualized entities, edge computing and AI-aided resource allocation;
  • the main features of data traffic transport and routing technologies in 5G/6G networks, telemetry techniques and advanced traffic conditioning techniques;the role of AI in Next-G Softwarized neTworks, including how it can be used to automate network operations, optimize resource allocation, and enhance the overall user experience.
  • the emerging services (VR, telemedicine, metaverse) that may be delivered by next-G networks and how they are able to meet the stringent requirements that such services require;
  • the impact of the aforementioned services on the sustainability of the planet and the global challenges of the 21st century.

The Seasonal School ARTIST has been designed to critically evaluate and elaborate on these new technologies and the opportunities that are offered by next-G network architures.


Teaching methodologies

ARTIST is entirely delivered in English and will include a mix of front teaching and hands-on sessions. The in-class teaching consists of focus sessions on key topics, industrial talks, brainstorming and break-out sessions. The hands-on part will take place through laboratory sessions organized over 4 afternoons. The final exam presentation of a brief project will take place on-line one week after the end of the School.


Who should attend this Seasonal School?

Main candidate for attendance are Master of Science (Laurea Magistrale) students in the area of Computer Science, Telecommunication Engineering, Electronic Engineering, Aerospace Engineering, Biomedical Engineering, Automation Engineering. Postgraduate students and PhD students in the aforementioned disciplines interested in the Seasonal School topics are also welcome.


About us

Here are some statements released by the previous editions’ winners of the merit award offered by Fondazione Il Talento all’Opera and Fondazione EY.

centofantipiccioni


Coordinator and key teaching staff

Coordinators: Piero Castoldi, Luca Valcarenghi.
Key teaching staff: Andrea Sgambelluri, Nicola Sambo, A. Tenucci, M. Gagliardi, Francesco Paolucci, Filippo Cugini, Davide Scano, Alessandro Pacini, Emilio Paolini, J. Borromeo


With the support of

Braine project