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Industrial-grade Verification and Validation of Evolving Systems

The use of AI and complex, evolving systems (ES), i.e. systems that rapidly change, either due to fast iteration cycles in development or due to their capability to self-adapt and learn, will grow significantly in automation, computation and novel digital services. Targeting the challenges in verification and validation of AI and evolving systems, IVVES will systematically develop Artificial Intelligence approaches for robust and comprehensive, industrial-grade V&V of “embedded AI”, i.e. machine-learning for control of complex, mission-critical evolving systems and services covering the major industrial domains in Europe.

/ Transportation
/ Finance 
/ Healthcare

/ Industrial automation
​/ Cybersecurity

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The IVVES consortium consists of 32 partners spread over 5 countries and will run from October 2019 to September 2022

Canada

 Spain (pending funding decision)

  • Centre de recherche informatique de Montréal
  • CS Communication & Systems
  • Rhea

Finland

  • F-Secure
  • Futurice
  • HeadAI
  • Philips Healthcare
  • Solita
  • Techila Technologies
  • University of Helsinki
  • VTT Technical Research Centre of Finland

Netherlands

  • ING
  • InnSpire
  • Open University
  • Marviq
  • Philips
  • Praegus
  • Sogeti
  • Keyland Sistemas de Gestion
  • NETCheck
  • SII Concatel

Sweden

  • ABB
  • Addiva
  • Bombardier
  • Ekkono Solutions
  • RISE - Research institute of Sweden
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