MONA LISA
| Reference number | |
| Coordinator | Kungliga Tekniska Högskolan - KTH Skolan för elektroteknik och datavetenskap, avdelningen för teoretisk datalogi |
| Funding from Vinnova | SEK 14 999 989 |
| Project duration | October 2024 - September 2027 |
| Status | Ongoing |
| Venture | Eureka cluster co-funding |
Purpose and goal
Cyber-physical systems are complex due to a tight coupling between software and hardware. MONA LISA will cover their entire life cycle with integrated system descriptions and analytics methods from design to production, connecting and improving existing tools in new ways. A visual analytics toolset will be the key component to assess information across different levels of abstraction and at different phases in the life cycle.
Expected effects and result
By analyzing the behavior of simulated and real system, we achieve a method that applies to their entire life cycle. With visualisation and explainability, we will achieve synergy between machine learning and humans. Large language models will unlock heterogeneous sources and connect them. A lot of our contributions will be to open-source projects, such as Eclipse Theia and Eclipse Trace Compass, for visualising trace data on a common open software stack.
Planned approach and implementation
The Swedish consortium is set up to build tools to cover the life cycle as well as supporting the MONA LISA use cases with four case studies. Sweden covers the use case "infrastructure, logistics, mobility" with CNet, Alstom, and Saab, with the domains smart bridges, trains, and airplanes. Teledyne/FLIR works on the use case "high-tech equipment" with their advanced infrared sensors, which have a complex software stack behind them to recover as much information as possible.