UNITÀ DI RICERCA Ubiquitous Internet
UNITÀ DI RICERCA Ubiquitous Internet
UNITÀ DI RICERCA Ubiquitous Internet
QUANCOM propone un’azione coordinata per lo sviluppo e la sperimentazione sul campo di una rete incondizionatamente sicura costruita tramite tecnologia quantistica. Il progetto prevede lo studio di soluzioni per la trasmissione basate sia su fibra ottica che satellitari.
Referente progetto: Claudio Cicconetti
The EU-funded HumanE-AI-Net project brings together leading European research centres, universities and industrial enterprises into a network of centres of excellence. Leading global artificial intelligence (AI) laboratories will collaborate with key players in areas, such as human-computer interaction, cognitive, social and complexity sciences. The project is looking forward to drive researchers out of their narrowly focused field and connect them with people exploring AI on a much wider scale. The challenge is to develop robust, trustworthy AI systems that can ‘understand’ humans, adapt to complex real-world environments and interact appropriately in complex social settings. HumanE-AI-Net will lay the foundations for designing the principles for a new science that will make AI based on European values and closer to Europeans.
Referenti progetto: Andrea Passarella, Chiara Boldrini
SAI will develop the scientific foundations for novel ML-based AI systems where (i) each individual is associated with its own “local AI twin” (called Personal Data Ecosystem, PDE), which acts as the individual’s proxy in a complex ecosystem of interacting PDEs; (ii) PDEs elaborate local data via explainable AI models tailored to the specific characteristics of their human peers; (iii) PDEs interact with each other to build more complex global AI models and/or come with collective outcomes built on the local models; (iv) interaction between local PDEs is driven by (quantifiable) models of the individual and social behaviour of their human peers; (v) quantifiable human behavioural models coupled with complex network analysis makes the global AI models and outcomes explainable-by-design. The ultimate goal of SAI is thus to provide the foundational elements enabling a collective of distributed explainable AI PDEs to create, via a human-centric approach, global AI models whose processes and outcomes are explainable and tailored to the needs and constraints of individual users. The interactions between PDEs in SAI will be engineered to preserve the plurality of information inherent in the data, giving them all the elements to take informed decisions and avoid biases, or, at least, to transparently expose biases inherent in data and in the decision process.
Referente progetto: Andrea Passarella
The HCAIM (Human-Centred AI Master’s) consortium set out to create a master’s program offering an integrated ethical, technical, and practical curriculum for understanding the construction of AI models, their realization at an industrial scale, and the evaluation of their long-term impact on society. The HCAIM consortium creates one-of-a-kind educational materials that will be used consistently at partner institutes, facilitating the free flow of project ideas and students between participating countries. short-term Erasmus actions will also help students exchange ideas and knowledge and connect.
Referente progetto: Lorenzo Valerio
With SLICES-SC, we aspire to foster the community of researchers around this ecosystem, create and strengthen necessary links with relevant industrial stakeholders for the exploitation of the infrastructure, advance existing methods for research reproducibility and experiment repeatability, and design and deploy the necessary solutions for providing SLICES-RI with an easy to access scheme for users from different disciplines. A set of detailed research activities has been designed to materialize these efforts in tools for providing transnational (remote and physical) access to the facility, as well as virtual access to the data produced over the facilities. The respective networking activities of the project aspire in fostering the community around these infrastructures, as well as open up to new disciplines and industrial stakeholders.
Referenti progetto: Andrea Passarella, Raffaele Bruno
MARVEL aims to collect, analyse and data mine multi-modal audio-visual data streams of a Smart City and help decision makers to improve the quality of life and services to the citizens without violating ethical and privacy limits in an AI-responsible manner.
Referenti progetto: Claudio Cicconetti, Theofanis Raptis, Lorenzo Valerio
The main objective of SLICES-DS is to adequately design SLICES in order to strengthen research excellence and innovation capacity of European researchers and scientists in the design and operation of Digital Infrastructures. The SLICES Design study will build upon the experience of the existing core group of partners, to prepare in details the conceptual and technical design of the new leading edge SLICES-RI for the next phases of the RI’s lifecycle.
Referenti progetto: Andrea Passarella, Raffaele Bruno
A research project aimed at developing an advanced and integrated platform that leverages the value of data to improve products, processes and maintenance policies.
Referente progetto: Lorenzo Valerio
The AMICO project aims to create an infrastructure, named “instrumented environment”, made of the home environment and of the person both suitably equipped with sensors, a telemedicine services platform (in the Internet of Things) and a Robot as a mediator / master between the person, the surrounding environment and the outside environment.
Referente progetto: Loreto Pescosolido
The objective of REPLICATE is to demonstrate Smart City technologies in energy, transport and ICT in districts in San Sebastian, Florence and Bristol addressing urban complexity and generate replication plans in other districts and in follower cities of Essen, Nilufer and Lausanne.
Referente progetto: Marco Conti
Il progetto H@H mira a creare un’assistenza al cittadino basata su una rete di servizi sanitari e sociali integrati e dispositivi/sistemi interoperabili. La rete poggerà su un’infrastruttura basata su paradigmi di cloud computing finalizzata a connettere le società e gli Enti che offrono i servizi con i soggetti utilizzatori che ne fruiranno (principalmente individuati in cittadini e famiglie). L’infrastruttura dovrà essere aperta e accessibile a tutti e progettata in modo che possano essere offerti i “normali” servizi attualmente erogati, diventando anche elemento abilitante ad offrire servizi innovativi e attualmente difficilmente erogabili se non a costi elevati.
Referente progetto: Loreto Pescosolido
Il progetto DRIVE2 ha l’obiettivo di organizzare due dimostrazioni di un servizio di mobilità condivisa basato sui veicoli elettrici sviluppati con il progetto H2020 ESPRIT nella zona industriale della Vallée de la Chimie di Lione e in una zona nel centro di Lione.
Referente progetto: Raffaele Bruno
SoBigData created the Social Mining & Big Data Ecosystem: a research infrastructure (RI) providing an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining on the various dimensions of social life, as recorded by “big data”.
Referente progetto: Andrea Passarella
The Humane AI Flagship has developed the scientific foundations and technological breakthroughs needed to shape the ongoing artificial intelligence (AI) revolution, in order to design and deploy AI systems that enhance human capabilities and empower both individuals and society as a whole to develop AI that extends rather than replaces human intelligence.
Referente progetto: Andrea Passarella
AUTOWARE built three distinct pillars to form a multi-sided ecosystem for Industry 4.0 solutions. (1) leverage a reference architecture acting as a glue that will attract potential users and developers to a friendly ecosystem for business development and service development. (2) To leverage a number of SME enablers to ease cognitive autonomous systems. (3) To leverage digital automation investments.
Referente progetto: Andrea Passarella
The ESPRIT project developed a purpose-built, light weight L6 category electric vehicle that can be stacked together to gain space. Thanks to pioneering coupling systems, up to 8 ESPRIT vehicles can be nested together in a road train, 7 being towed for an efficient redistribution of fleets and a smartly-balanced and cost efficient transport system.
Referente progetto: Raffaele Bruno
The MOTO project designed, implemented, and evaluated a new network architecture in support of dynamic traffic offloading strategies to relieve a congested 4G/LTE network. Going far beyond infrastructure-based offloading approaches, MOTO explored an additional layer of disruptive offloading protocols that make use of direct D2D communications. MOTO has been recognized by the European Commission as one of the precursors of the 5G research area.
Referente progetto: Andrea Passarella
EINS coordinated and integrated European research initiatives aimed at achieving a deeper multidisciplinary understanding of the development of the Internet as a societal and technological artefact, whose evolution is increasingly interwined with that of human societies. EINS brought together research institutions focusing on network engineering, computation, complexity, security, trust, mathematics, physics, sociology, game theory, economics, political sciences, humanities, law, energy, transport, artistic expression, and any other relevant social and life sciences.
Referente progetto: Marco Conti
The SOCIALNETS project enabled wireless devices to socially network with each other in order to disseminate information without the need to maintain end-to-end connectivity. Exploiting opportunistic networks and human social behaviour, it developed networking solution for data sharing and communications in pervasive networking environments.
Referente progetto: Marco Conti
This project was one of the European pioneer projects investigating the potentialities of the Mobile Ad hoc NETwork (MANET’s) paradigm. Specifically, the project defined and developed a metropolitan area, self-organizing, and totally wireless network that we called Mobile Metropolitan Ad hoc Network (MobileMAN).
Referente progetto: Marco Conti
Il progetto E-Cabin ha realizzatodi un insieme di soluzioni tecnologiche avanzate per migliorare l’esperienza di viaggio sia all’interno della cabina che sull’intera nave, garantendo all’armatore un ulteriore sistema di monitoraggio delle singole cabine. Il progetto ha portato allo sviluppo di un prototipo funzionante di E-Cabin contente la piattaforma domotica, la sensoristica, gli attuatori di grado industriale atti a massimizzare la sensazione di benessere percepito a bordo nave, e un set di nuovi servizi per il passeggero (per smartphone e/o tablet).
Referente progetto: Franca Delmastro
Il progetto si è collocato nel settore applicativo delle tecnologie ICT innovative e non invasive per lo sviluppo di servizi personalizzati mirati al monitoraggio e miglioramento della qualità della vita in soggetti anziani fragili. I servizi sviluppati si basano sull’uso di tecnologie sensoristiche, indossabili ed ambientali, oltre all’uso di dispositivi mobili personali, per l’identificazione del livello di benessere di un soggetto da un punto di vista funzionale, clinico, cognitivo e psico-affettivo, monitorandone i comportamenti su breve e lungo termine e fornendo opportuni stimoli e feedback per il miglioramento della propria qualità della vita.
Referente progetto: Franca Delmastro
Il progetto ha integrato fonti geotermica a bassa temperatura, contenuta nel sottosuolo in falde acquifere multistrato e sedimenti, ed solare fotovoltaico ad integrazione dell’alimentazione elettrica delle pompe di calore (PDC) geotermiche. Per risolvere le asincronicità tra produzione e carico e ottimizzare la gestione tecnico-economica dell’intero sistema sono stati studiati, messi a punto e realizzati dimostratori di accumuli dell’energia termica estratta. L’ottimizzazione tecnico economica dell’intero sistema ha seguito le logiche smart grids.
Referente progetto: Raffaele Bruno