Ricerc@Sapienza

Questo gruppo di ricerca composto da ingegneri e gastroenterologi, ha come obiettivo quello di riuscire ad individuare, grazie all'utilizzo dell'intelligenza artificiale applicata alle condizioni precancerose gastriche quali l'atrofia e la metaplasia intestinale, la presenza di fattori di rischio e/o fattori prognostici che possano portare allo sviluppo di lesioni cancerose gastriche, comprese i tumori neuroendocrini

Sapienza Cardiovascular MR & CT Imaging Center

AuRA Lab è un laboratorio universitario specializzato nella ricerca scientifica nel campo del Ragionamento Automatico e delle sue applicazioni dell'Intelligenza Artificiale, con particolare attenzione ai Sistemi Multi-Agente. Lavoriamo per la ricerca e lo sviluppo di tecniche basate su metodi formali per la verifica e sintesi, rappresentazione della conoscenza, ragionamento strategico, logica computazionale, giochi formali, teoria degli automi e loro applicazioni.

Since 2022, the research and project activity has been focused on the opportunities for digitalization of health data and healthcare systems, which has led to several national and international grant funding. Indeed, especially after the experience of the pandemic emergency, the application of innovative methodologies designed to manage heterogeneous health data subject to digital transformation resulted essential, for the management of both chronic and acute  complex diseases.

Artificial Intelligence is not a new phenomenon; its development spans decades. However, in recent years, especially during 2023, it has garnered increased collective attention, primarily due to the implementation of generative programs like Chat GPT.

Tiresias, the Theban soothsayer who was blinded for revealing the secrets of the gods and met in the underworld by Odysseus, unlike the other specters keeps memories of the past and, thanks to this, can help the Greek hero find his way home.

The Perception and Intelligence Lab (PINLab, www.pinlab.org) conducts fundamental research and innovation transfer in computer vision and machine learning, including applications to language models and robotics. Specific research interests include distributed and multi-agent intelligent systems, human-robot interaction, embodied perception, multi-modal learning involving hierarchical knowledge and uncertainty estimation, foundation and world models, general intelligence and reasoning, interpretable and safe AI.