News

SAFEXPLAIN Update: Building Trustworthy AI for Safer Roads

SAFEXPLAIN Update: Building Trustworthy AI for Safer Roads

For enhanced safety in AI-based systems in the railway domain, the SAFEXPLAIN project has been working to integrate cutting-edge simulation technologies with robust communication frameworks. Learn more about how we’re integrating Unreal Engine (UE) 5 with Robot Operating System 2 (ROS 2) to generate dynamic, interactive simulations that accurately replicate real-world railway scenarios.

Enhancing Railway Safety: Implementing Closed-Loop Validation with Unreal Engine 5 and ROS 2 Integration

Enhancing Railway Safety: Implementing Closed-Loop Validation with Unreal Engine 5 and ROS 2 Integration

For enhanced safety in AI-based systems in the railway domain, the SAFEXPLAIN project has been working to integrate cutting-edge simulation technologies with robust communication frameworks. Learn more about how we’re integrating Unreal Engine (UE) 5 with Robot Operating System 2 (ROS 2) to generate dynamic, interactive simulations that accurately replicate real-world railway scenarios.

Case Studies Update: Integrating XAI, Safety Patterns and Platform Development

Case Studies Update: Integrating XAI, Safety Patterns and Platform Development

The SAFEXPLAIN project has reached an exciting point in its lifetime: the integration of the outcomes of the different partners.
The work related to the case studies began with the preparation of AI algorithms, as well as the datasets required for the trainings and for the simulation of the operational scenarios. Simultaneously, the case studies have counted on support from the partners focused on explainable AI (XAI), safety patterns and platform development.

BSC Webinar Demonstrates Interoperability of SAFEXPLAIN Platform Tech & Tools

BSC Webinar Demonstrates Interoperability of SAFEXPLAIN Platform Tech & Tools

The third webinar in the SAFEXPLAIN webinar series will share the novative infrastructure behind the AI-FSM and XAI methodologies. Participants will gain insights into the integration of the proposed solutions and how they are designed to enhance the safety, portability and adaptability of AI systems.

Showcasing Project Results in 2 HiPEAC’25 Workshops

Showcasing Project Results in 2 HiPEAC’25 Workshops

The 2025 HiPEAC conference successfully brought together more than 750 experts in in computer architecture, programming models, compilers and operating systems for general-purpose, embedded and cyber-physical systems.  This annual event is a premier forum for...

Safety patterns for AI-based systems

Safety patterns for AI-based systems

Through the SAFEXPLAIN project, Ikerlan has analyzed strategies and developed specific solutions to implement safety patterns in systems that incorporate AI components. Learn more about the 4 key safety mechanisms used in the reference safety architurecture pattern.

Coming Soon! SAFEXPLAIN technologies converge in an open demo

Coming Soon! SAFEXPLAIN technologies converge in an open demo

As the project enters into its 27th month, releases for most technologies are already available and undergoing the last steps towards completing their integration.To demonstrate the SAFEXPLAIN approach, project partners are working towards creating an open source demo...