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Gauging requirements and testing models for Space, Automotive and Railway Case Studies

Gauging requirements and testing models for Space, Automotive and Railway Case Studies

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.

COMPSAC 23: Presenting acceleration solutions based on Deep Neural Networks (DNNs) for use in safety-critical systems

COMPSAC 23: Presenting acceleration solutions based on Deep Neural Networks (DNNs) for use in safety-critical systems

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...
Talking about Automotive Functional Safety at Automotive SPIN Italia

Talking about Automotive Functional Safety at Automotive SPIN Italia

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

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  • Contributing to EU Sovereignty in AI, Data and Robotics at the ADRF24

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    This project has received funding from the European Union’s Horizon Europe programme under grant agreement number 101069595.

    This project has received funding from the European Union’s Horizon Europe programme under grant agreement number 101069595.

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