Project description
Innovative Framework for efficient AIoT
The rise of the Internet of Things (IoT) and IoT-Edge-Cloud continuum technologies has enabled greater introduction and adoption of smart space ecosystems and other sensor technologies. This has led to the emergence of Artificial Intelligence of Things (AIoT) systems, which face challenges in acquiring trustworthy data. In this context, the EU-funded PANDORA project aims to develop an innovative framework that will enable the efficient transport of trustworthy smart space datasets to AIoT systems while also guaranteeing their safe and green deployment. The project will use techniques for data collection and AI operation in smart space ecosystems, followed by the development of methods for ensuring safety and efficiency in their continual operation.
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.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
157 80 ATHINA
Greece
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Participants (21)
8000 Aarhus C
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164 80 Stockholm
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91120 Palaiseau
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80333 Munchen
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38106 Braunschweig
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5656 AG Eindhoven
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81243 Bratislava
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95011 Cergy-Pontoise
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115 27 ATHINA
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2362 Nicosia
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92230 Gennevilliers
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40126 Bologna
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51147 Koln
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T12 W7CV CORK
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80333 Muenchen
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20127 Milano
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3101 Limassol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
21000 Novi Sad
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91052 Erlangen
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714 14 GAZI
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
D02 P593 Dublin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (3)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
6300 ZUG
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
560012 Bangalore
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
M5S 1A1 Toronto
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