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SELENE: Self-monitored Dependable platform for High-Performance Safety-Critical Systems

Project description

Artificial intelligence boosts high-performance computing used in safety-critical systems

High-performance computing that employs commercial off-the-shelf components offers an alternative path to increasing the computational capability of safety-critical applications. Despite their potential in a number of domains, use of these systems is limited due to the lack of certified, reliable hardware platforms. The EU-funded SELENE project aims to change this by proposing a safety-critical cognitive computing platform (CCP) with self-aware and self-adaptive capabilities. SELENE’s CCP uses artificial intelligence techniques to maximise the efficiency of the safety-critical system and adapt its behaviour in different domains such as automotive, space, avionics, robotics and factory automation.

Objective

Existing HW/SW platforms for safety-critical systems suffer from limited performance and/or from lack flexibility due to building on specific proprietary components, which jeopardize their wide deployment across domains. While some research attempts have been done to overcome some of these limitations, their degree of success has been low due to missing flexibility and extensibility, which would ensure that industry can take that path, as many industries need technologies on which they can rely during decades (e.g. avionics, space, automotive).

A number of high-performance computing (HPC) commercial off-the-shelf (COTS) platforms offer the computation capabilities needed by autonomous systems in domains such as automotive, space, avionics, robotics and factory automation by means of multicores, GPUs and other accelerators. Unfortunately, the utilization of HPC platforms has been traditionally considered out of the reach of the safety critical systems industry due to the difficulties or roadblocks these platforms bring to the certification process.

SELENE follows a radically new approach and proposes a Safety-critical Cognitive Computing Platform (CCP) with self-awareness, self-adapting, and autonomous capabilities. SELENE’s CCP uses artificial intelligence (AI) techniques to adapt the system to the particular internal and external (environmental) conditions with the aim of maximizing the efficiency of the system being able at the same time of meeting application requirements. AI techniques are feed with information provided by the on-line monitors and external sensors and are applied in a transparent way without compromising the safety of the system. To ensure safety requirements are preserved SELENE’s CCP relies on the strong isolation capabilities provided at hardware and software levels.

Call for proposal

H2020-ICT-2018-20

See other projects for this call

Sub call

H2020-ICT-2019-2

Coordinator

UNIVERSITAT POLITECNICA DE VALENCIA
Net EU contribution
€ 654 750,00
Address
CAMINO DE VERA SN EDIFICIO 3A
46022 Valencia
Spain

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Region
Este Comunitat Valenciana Valencia/València
Activity type
Higher or Secondary Education Establishments
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Total cost
€ 654 750,00

Participants (10)