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A Comprehensive Framework enabling the Delivery of Trustworthy Datasets for Efficient AIoT Operationbroad

PANDORA · Horizon Europe grant · 2024-04-01–2027-03-31

EC contribution

€8,991,729

Total cost

€8,991,729

Beneficiaries

27
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-CL4-2023-HUMAN-01-CNECT · scheme HORIZON-RIA · topic HORIZON-CL4-2023-HUMAN-01-01. CORDIS record →

Objective

As Internet of Things (IoT) and IoT-Edge-Cloud continuum technologies advance, physical environments are becoming increasingly equipped with sensors, fuelling the development of smart space ecosystems. Massive quantities of data produced by IoT devices revolutionize the way such ecosystems operate via the exploitation of AI models/services. This has led to the emergence of the so-called Artificial Intelligence of Things (AIoT) systems. In general, designing techniques to promote robustness, efficiency and continual operation of AIoT systems requires realistic and trustworthy data at scale. However, such data is not always easy to obtain due to the cost of smart space construction, the inconvenience of long-term device tracking, the sensor/knowledge data gaps in diverse scenarios of a smart space, and the restrictions imposed on sensitive data sharing. Furthermore, an efficient AIoT system operation requires trustworthy AI services, as well as novel approaches for speeding up their inference across the IoT-Edge/Cloud continuum. PANDORA aims to devise and implement a comprehensive framework enabling the delivery of trustworthy datasets of smart space ecosystems, as well as the deployment and green operation of AIoT systems in such spaces. PANDORA spans two phases: (1) prior to AIoT system deployment; (2) post AIoT system deployment and operation. Phase 1 proposes and combines a series of novel techniques such as synthetic data generation, quantification of uncertainties, and data summarization for the delivery of trustworthy datasets, as well as explainable AI and domain-informed model training/testing in smart space ecosystems. Phase 2 defines novel AIaaS and CaaS techniques for the robust, explainable, green and continual operation of AIoT systems deployed in such spaces. The trustworthiness and applicability of the PANDORA framework will be tested through five pilot cases hosting AIoT applications in smart buildings, factories and critical infrastructures.

Beneficiaries (27)

OrganisationCountryRoleEC contributionSME
ETHNICON METSOVION POLYTECHNION EL coordinator €518,750
SIEMENS AKTIENGESELLSCHAFT DE participant €826,875
THALES SIX GTS FRANCE SAS FR participant €560,278
ERICSSON AB DFM profile SE participant €531,250
AEGIS IT RESEARCH GMBH DE participant €528,250 Yes
INSTITUT MINES-TELECOM FR participant €524,375
PHILIPS CONSUMER LIFESTYLE BV NL participant €487,750
DIINEKES S.I. MONOPROSOPI IDIOTIKI KEFALAIOUCHIKI ETAIREIA EL participant €486,250 Yes
AARHUS UNIVERSITET DK participant €464,481
CYBERALYTICS LIMITED CY participant €464,375 Yes
DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EV DE participant €447,700
FRAMATOME GMBH DE participant €414,000
CY CERGY PARIS UNIVERSITE FR participant €365,359
IDC ITALIA SRL IT participant €317,500
ELVALHALCOR ELLINIKI VIOMIHANIA HALKOU KAI ALOUMINIOU ANONYMOS ETAIREIA EL participant €316,875
IOTAM INTERNET OF THINGS APPLICATIONS AND MULTI LAYER DEVELOPMENT LTD CY participant €304,375 Yes
SECURITY LABS CONSULTING LIMITED IE participant €297,000 Yes
SLOVENSKA TECHNICKA UNIVERZITA V BRATISLAVE SK participant €245,000
University of Novi Sad Faculty of Sciences RS participant €236,875
UNIVERSITA DI PISA IT participant €225,442
TECHNISCHE UNIVERSITAET MUENCHEN DE participant €220,500
EUNOMIA LIMITED IE participant €202,500 Yes
ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA IT participant €5,970
ECOLE NATIONALE SUPERIEURE DE L'ELECTRONIQUE ET DE SES APPLICATIONS FR thirdParty €0
SPHYNX TECHNOLOGY SOLUTIONS AG CH associatedPartner
THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO CA associatedPartner
INDIAN INSTITUTE OF SCIENCE IN associatedPartner

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