Winner ITEA Award of Excellence Innovation 2023
IVVES
Industrial-grade Verification and Validation of Evolving Systems
Winner ITEA Award of Excellence Innovation 2023
Project description
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.
http://ivves.eu
Canada
Finland
Futurice
Finland
HeadAI ltd.
Finland
Philips
Finland
Solita Oy
Finland
Techila Technologies
Finland
University of Helsinki
Finland
WithSecure Corporation
Finland
Netherlands
ING Bank N.V.
Netherlands
InnSpire
Netherlands
Marviq B.V.
Netherlands
Philips Electronics Nederland BV
Netherlands
Praegus B.V.
Netherlands
Sogeti Nederland B.V.
Netherlands
The Open University of The Netherlands
Netherlands
Spain
Sweden
ABB AB AB
Sweden
Addiva AB
Sweden
ALSTOM Rail Sweden AB
Sweden
Ekkono Solutions
Sweden
Prover Technology
Sweden
Project publications
- IVVES Project results leaflet Project Leaflet 13 March 2023 Download
- IVVES Project benefits story Magazine article Issue 44 (March 2023) Download
- ITEA PO Days 2023 - Project poster IVVES Project poster 14 September 2023
- ITEA IVVES Exploitable Results by Third Parties Exploitable Results 05 December 2022
- IVVES shares project results in public dissemination session and short videos News item 20 December 2022
- Synthetic data to assist brain research Press article 08 April 2022
- Sogeti’s Data Quality Wrapper - Automating your data pre-processing with Streamlit Press article 25 February 2022
- Celebrating software advancements in port operations, healthcare, and additive manufacturing Press article 19 September 2023
- Solita Research team celebrates ITEA Awards of Excellence for Innovation Press article 11 October 2023
Work package documents
- D2.1 State of the Art on Validation Techniques for ML Work package document 30 June 2020
- D3.1 State of the Art of Validation Methods and Techniques for Complex Evolving Systems Work package document 30 June 2020
- D4.1 State of the Art on Data-Driven Engineering Work package document 30 June 2020
- D6.1 Dissemination plan Work package document 08 June 2020
- IVVES_D5.4_Online_experimentation_and_training_platform.pdf Work package document 28 March 2022
- IVVES_Deliverable_D2.2_Training_Data_Quality_V1.0.pdf Work package document 21 December 2020
- IVVES_Deliverable_D2.4_V1.0_Final_version_of_validation_methods_and_techniques_for_ml.pdf Work package document 25 March 2022
- IVVES_Deliverable_D3.2_Validation_methods_and_techniques _V1.0.pdf Work package document 21 December 2020
- IVVES_Deliverable_D3.4_Final_Validation_Methods_and_Techniques_for_Evolving_Systems_V1.pdf Work package document 10 June 2022
- IVVES_Deliverable_D4.4_V1.0 - Data-driven engineering methods and techniques final version.pdf Work package document 30 March 2022
- IVVES_Deliverable_D5.2_architecture_of_training_platform_V1.0.pdf Work package document 31 March 2021
- IVVES_Deliverable_D5.3_V1.0.pdf Work package document 25 October 2021
- IVVES_Deliverable_D5.5_V1.0.pdf Work package document 10 May 2022
- IVVES_Deliverable_D5.6_V1.0.docx Work package document 31 December 2022
- IVVES_Deliverable_D6.3 Dissemination and Standardisation Report_v10 .pdf Work package document 30 December 2022
- Requirements for the IVVES experimentation framework Work package document 08 October 2020