by Janine Marie Gehrig Lux | Oct 7, 2024 | Uncategorized
The SAFEXPLAIN project is analysing how DL can be made dependable, i.e., functionally assured in critical systems like cars, trains and satellites. Together with other consortium members, RISE has been working on establishing principles for ensuring that DL components, together with required explainable AI supports, comply with the guidelines set forth by AI-FSM and the safety pattern(s).
by Janine Marie Gehrig Lux | Sep 24, 2024 | Uncategorized
The SAFEXPLAIN keynote at the INTACS event “Optimal Performance of Modern Development: Automotive SPICE® Fusion with Intelligent Systems and Agile Frameworks” hosted by SEITech Solutions GmbH as part of the Gate4SPICE was extremely well-received by attendees. The...
by Janine Marie Gehrig Lux | Sep 17, 2024 | Uncategorized
Twelve deliverables reporting on the work undertaken by the project have been published in the results section of the website. The SAFEXPLAIN deliverables provide key details about the project and how it is progressing. The following deliverables have been created for...
by Janine Marie Gehrig Lux | Aug 14, 2024 | Uncategorized
SAFEXPLAIN partner, exida development provided invaluable contributions to the two days of pilot training for the intacs® certified machine learning (ML) automotive SPICE® training.
by Janine Marie Gehrig Lux | Aug 1, 2024 | Uncategorized
Within the SAFEXPLAIN (SE) project, project partner, Ikerlan, leads the railway case study (CS), which is specifically centred on Automatic Train Operation (ATO). This article highlights how this CS is integrated into the reference safety architecture, building on the...
by Janine Marie Gehrig Lux | Jul 11, 2024 | Uncategorized
BSC Research on real-time embedded systems takes center stage at premier European conference Francisco J. Cazorla from BSC delivers keynote at the 36th ECRTS The 36th Euromicro Conference on Real-Time Systems is a major international conference showcasing the latest...
Recent Comments