Reading (&) Machine. La promozione della lettura verso il futuro, (2022-2023) - Responsabile Scientifico
Corporate-funded and donor-funded research
PE6_7 - Artificial intelligence, intelligent systems, multi agent systems
Obiettivo 4. Fornire un’educazione di qualità, equa ed inclusiva, e opportunità di apprendimento per tutti
Il progetto si propone di realizzare un innovativo meccanismo di esplorazione delle collezioni librarie sfruttando sistemi di raccomandazione. La sfida è adattare questi sistemi al mondo del libro fisico per potenziare per arricchire l’esperienza della lettura, attraverso interfacce utente inclusive. Lo scopo è creare nuovi modi di esplorare e vivere il libro, negli spazi delle biblioteche, sfruttando le tecnologie del digitale per aumentare la partecipazione e l’inclusione sociale, stimolando la frequentazione delle biblioteche e il consolidamento della abitudine alla lettura.La sfida è come sfruttare le opportunità che le tecnologie offrono per riavvicinare le persone alla lettura e a fruire dei luoghi di lettura, in modalità innovativa e ibrida, coniugando reale e virtuale in una nuova sfida per la lettura.Il nome Reading (&) Machine evoca contrapposizione e sinergia tra il mondo dei libri e quello delle macchine atte a offrire servizi innovativi di esplorazione della conoscenza.
The Web economy has been revolutionized by unprecedented possibility of collecting massive amounts of user personal data, which lead the web to become the largest data market and created the biggest companies in our history. Unfortunately, this change has deep consequences for users, who, deprived of any negotiation power, are compelled to blindly provide their data for free access to services. Data collection is opaque, fragmented and disharmonic, so that users have no control over their personal data, and, thus, on their privacy. Personal Information Management Systems (PIMS) aim to give users back control over their data, while creating transparency in the market. However, so far, they have failed to reach business maturity and sizeable user bases.PIMCity offers tools to change this scenario. First, we implement a PIMS development kit (PDK) to commoditize the complexity of creating PIMS. This lowers the barriers for companies and SME to enter the web data market. Second, we design and deploy novel mechanisms to increase users' awareness: (i) the Transparency Tags (TT) show users essential information about the services they access, in a simple and easy to understand manner; (ii) the Personal Data Avatar (PDA) is an intuitive means for users to control the information shared to third parties. Third, we demonstrate the effectiveness of the above tools by engineering EasyPIMS, our fully-fledged PIMS. We commit to build the largest-ever transparent data marketplace implementing and demonstrating EasyPIMS with hundreds of thousands of end-users, collaborating with advertisers and operators in the web market.We strongly believe that an open market for data will only flourish if we stop the arms race between users and services. For this, we involve advertisers and end-users in the whole process. PIMCity has all these players in our consortium, along with leading IT companies and data providers, renowned research centres and universities, and SMEs already in the market of PIMS.
Centro di Competenza Calcolo ad Alte Prestazioni e Intelligenza Artificiale Torino, (2018-2021) - Responsabile Scientifico
Regionally funded research
Il progetto intende realizzare un centro di competenza di calcolo ad alte prestazioni per l’Intelligenza Artificialeaperto e scalabile con applicazioni centrate nella strategia S3: salute, agroalimentare, meccatronica,automotive, aerospazio. Il centro è costituito da una federazione distribuita di ODR che forniscono in modocomplementare le tecnologie abilitanti per l’operatività e la sostenibilità del centro. Fra queste, High-Performance Computing (HPC), IoT, Machine Learning, Big Data Analytics.La dotazione infrastrutturale (IR) del centro, costituita da 4 green data center federati, sarà resa facilmentefruibile mediante servizi cloud. Per massimizzare il trasferimento tecnologico, il centro opererà mediante la coprogettazionedelle applicazioni e delle soluzioni tecnologiche. Il centro offrirà supporto altamentespecializzato per favorire l’innovazione e sviluppare le competenze nelle aziende del territorio, quindi astimolare l’espansione delle opportunità di mercato.
Trasferimento Tecnologico e Relazioni con l'Industria
MONROE - Measuring Mobile Broadband Networks in Europe, (2015-2018) - Responsabile Scientifico
UE-funded research - H2020 - Industrial Leadership – LEIT - ICT
There is a strong need for objective data about stability and performance of Mobile Broadband (MBB) networks, and for tools to rigorously and scientifically assess their performance. In particular, it is important to measure and understand the quality as experienced by the end user. Such information is very valuable for many parties including operators, regulators and policy makers, consumers and society at large, businesses whose services depend on MBB networks, researchers and innovators.MONROE proposes to design, build and operate an open, European-scale, and flexible platform with multi-homing capabilities to run experiments on operational 3G/4G Mobile Broadband networks. One of the main objectives of MONROE is to use the platform for the identification of key MBB performance parameters, thus enabling accurate, realistic and meaningful monitoring and assessment of the performance of MBB networks. MONROE also provides WIFI connectivity mimicking multi-homing in smartphones with both MBB and WiFi interfaces, to allow experimenting on different access technologies as well as explore new ways of combining them to increase performance and robustness. The users of the platform are in the core of the MONROE project. First, following the FIREs philosophy, MONROE offers a user-oriented closed-loop system design in which the experimental platform is open to external users, and where users are incorporated early on in the experimental design process. Second, MONROE will provide Experiments as a Service (EaaS), thus lowering the barrier for using the platform to external experimenters and users, by providing well-documented tools and adjustable, flexible, high-level scripts to execute experiments, collect results, and analyze data. Interoperability with existing FIRE and FP7 measurement platforms, jointly with the MONROE's effort to develop business and funding models, will guarantee sustainability and usefulness of the platform.
The ubiquity of Internet access, and the wide variety of Internet-enabled devices and applications, have made the Internet a principal pillar of the Information Society. Decentralized and diverse, the Internet is resilient and universal. However, its distributed nature leads to operational brittleness and difficulty in identifying and tracking the root causes of performance and availability issues. The first step to improve this situation is measurement: illuminating the currently obscure dynamics of the Internet. To address this, we advocate a measurement plane, or mPlane alongside the Internet's data and control planes.mPlane consists of a Distributed Measurement Infrastructure to perform active, passive and hybrid measurements; it operates at a wide variety of scales and dynamically supports new functionality. A Repository and Analysis layer collects, stores, and analyses the collected data via parallel processing and data mining. Finally, an Intelligent Reasoner iteratively drills down into the cause of an evidence, determining the conditions leading to given issues, and supporting the understanding of problem origins.By enabling pervasive measurement throughout the Internet, mPlane benefits everyone: ISPs get a fine-grained picture of the network status, empowering effective management and operation. Application providers gain powerful tools for handling performance issues of their application. Regulators and end-users can verify adherence to SLAs, even when these involve many parties. Customers of all kinds can objectively compare network performance, improving competition in the market.mPlane will significantly advance the state of the art in Internet measurement, from innovative probe technology to intelligent algorithms for distributed data analysis. The development of the Reasoner is a key result that will allow structured, iterative, automated analysis. An emphasis on open, standard interfaces will speed adoption and increase the impact of the project.
FTW FORSCHUNGSZENTRUM TELEKOMMUNIKATION WIEN GMBH
NETVISOR INFORMATIKAI ES KOMMUNIKACIOS ZARTKORUEN MUKODO RESZVENYTARSASAG
MODELLI STATISTICI, DATA ANALYTICS E MACHINE LEARNING”, “FOG COMPUTING E OPPORTUNISTIC NETWORKING” e “DESIGN E IMPLEMENTAZIONE DI FUNZIONALITÀ FIRMWARE AVANZATE”, (2019-2020) - Responsabile Scientifico