by Janine Marie Gehrig Lux | Jun 30, 2023 | Uncategorized
Using three case studies from different industrial domains ensures that the project considers the needs of multiple fields whose common thread is the potential use of autonomous systems in complex environments, where AI can enable critical and powerful features.
by Janine Marie Gehrig Lux | Jun 29, 2023 | Uncategorized
BSC researcher Martí Caro presented “Efficient Diverse Redundant DNNs for Autonomous Driving” on 27 June 2023 at the Autonomous Systems Symposium (ASYS) within the 47th IEEE International Conference on Computers, Software & Applications (COMPSAC). The theme of...
by Jaume Lozano | Jun 6, 2023 | Uncategorized
Safexplain project partner EXIDA-dev presented at the 21st Workshop on Automotive Software and Systems hosted by Automotive SPIN Italia
by Janine Marie Gehrig Lux | May 24, 2023 | Uncategorized
Written by Robert Lowe & Thanh Bui, Humanized Autonomy Unit, RISE, Sweden. Machine Learning life cycles for data science projects that deal with safety critical outcomes require assurances of expected outputs at each stage of the life cycle for them to be...
by Janine Marie Gehrig Lux | Apr 28, 2023 | Uncategorized
The paper “Efficient Diverse Redundant DNNs for Autonomous Driving”, coauthored by BSC authors Martí Caro, Jordi Fornt and Jaume Abella, has been accepted for publication in the 47th IEEE International Conference on Computers, Software & Applications...
by Janine Marie Gehrig Lux | Apr 18, 2023 | Uncategorized
SAFEXPLAIN presented its latest research on Safe and Explainable Critical Embedded Systems Based on AI at the Design, Automation and Test in Europe Conference (DATE) in Antwerp, Belgium. The DATE conference is a leading event for electronic system design and test,...
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