by Janine Marie Gehrig Lux | Oct 7, 2024 | Uncategorized
As part of the SAFEXPLAIN project, researchers at RISE have been investigating how Deep Learning algorithms can be made dependable, i.e., functionally assured in critical systems like cars, trains and satellites.
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...
by Janine Marie Gehrig Lux | Jul 5, 2024 | Uncategorized
Javier Fernández from IKERLAN contextualizes the current state of AI and Functional Safety Management On 4 July 2024, speakers from IKERLAN shared an in-depth look into the SAFEXPLAIN project developments in AI-Functional Safety Management (FSM) methodology. Irune...
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