Abstract: AI-native 6G networks require packet-level intelligence capable of identifying anomalous behaviors before they escalate into system-level degradations. However, current solutions either rely on offline PCAP modeling or on KPI-driven analytics such as NWDAF, both…
Abstract: This work discusses advancements in edge AI processing for critical systems, focusing on satellites. We explore hardware solutions for real-time and autonomous data processing using Field Programmable Gate Arrays (FPGAs) and Coarse-Grained Reconfigurable Arrays…
Poster abstract: In recent years, the space community has shown a growing interest in the use of AI onboard satellites. FPGAs have emerged as competitive accelerators for these algorithms in the space harsh environment, and methods…
Abstract: Sleep apnea (SA) is a prevalent breathing disorder whose diagnosis still relies on polysomnography (PSG), motivating the development of unobtrusive in-bed sensing technologies as scalable alternatives. In this study, we present a machine learning…
Poster presented at: 2025 21st International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems (ACACES), Fiuggi, FR, Italy, 2025, pp. 5-8, ISBN: 9789078427070