The advantages of the MARVEL framework perceived by end users in the field of urban security
Learn how the Municipality of Trento Local Police Command is utilizing AI in the MARVEL project to improve urban security and public space management.
Learn how the Municipality of Trento Local Police Command is utilizing AI in the MARVEL project to improve urban security and public space management.
Explore the challenges of AI bias and the steps taken by Project MARVEL to develop a lawful, ethical, and robust AI system, ensuring fairness and inclusivity in smart city applications.
The MARVEL M23 Plenary Meeting meeting was hosted by Greenroads in Valletta, Malta on November 29-30, 2022.
Detailed Info Inaccuracy Rates for Distributed Inference over Random Networks with Applications to Social Learning Authors:D. BajovicTitle:Inaccuracy Rates for Distributed Inference over Random Networks with Applications to Social LearningAbstract:We introduce…
Detailed Info Non-linear Gradient Mappings and Stochastic Optimization: a General Framework with Applications to Heavy-Tail Noise Authors:D. Jakovetic, D. Bajovic, A. Sahu, S. Kar, N. Milosevic, D. StamenkovicTitle:Non-linear Gradient Mappings…
This article will explore how AI and other technologies can be applied to smart city management systems and help cities improve their operations, the quality of life for their citizens and save money
The MARVEL Interim Review meeting was successfully concluded on the 13th of September 2022, remotely. Congratulations to the MARVEL team!
Detailed Info Stateful Function as a Service at the Edge Authors:Carlo Puliafito; Claudio Cicconetti; Marco Conti; Enzo Mingozzi; Andrea PassarellaTitle:Stateful Function as a Service at the EdgeAbstract:In function as a…
Detailed Info In-Network Computing With Function as a Service at the Edge Authors: Claudio Cicconetti; Marco Conti; Andrea Passarella Title: In-Network Computing With Function as a Service at the Edge…
Detailed Info FaaS execution models for edge applications Authors:Claudio Cicconetti, Marco Conti, Andrea PassarellaTitle:FaaS execution models for edge applicationsAbstract:In this paper, we address the problem of supporting stateful workflows following…