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SELENE: SELF-MONITORED DEPENDABLE PLATFORM FOR HIGH-PERFORMANCE SAFETY-CRITICAL SYSTEMS

Centro Propio de Investigación Pattern Recognition and Human Language Technology

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Año de inicio

2019

Organismo financiador

COMISION DE LAS COMUNIDADES EUROPEA

Tipo de proyecto

I+D COLAB. COMPETITIVA

Responsable científico

Paredes Palacios Roberto

Resumen

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.

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