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.
/ Industrial automation
26 Partners spread over 5 Countries
Running from October 2019 to December 2022
European Alliance Summit
November 14, 2019
Amsterdam, The Netherlands
Annual IEEE EMBS Benelux Chapter Symposium
November 28, 2019
IVVES Kick Off
November 29, 2019
Best, The Netherlands
D6.1 IVVES Dissemination plan
This document describes the plan for using and disseminating the knowledge in the context of the IVVES project, through various means including internal and external communication channels, the distribution of dissemination material and participation in dissemination activities.
D5.1 Requirements for the IVVES experimentation framework
By making sure that all the IVVES outcomes come with a well-defined and clear package of training and possibilities to try them out (experiment with them), we hope to give dissemination of the IVVES outcomes a real boost.
D4.1 Data-driven engineering: state of the art & gap analysis
WP4 in IVVES, titled ‘Data-Driven Engineering’, focuses on implementing solutions for identifying data correlations and behavioural patterns throughout the entire product life cycle with respect to component failures, and with the ultimate goal of enabling predictive maintenance and anomaly detection.