The DEEL Project aims to develop dependable, robust, explainable, and certifiable AI for critical systems, addressing challenges like bias, explainability, and uncertainty quantification. It involves partnerships with academic and industrial entities to create technological solutions for applications such as autonomous vehicles and medical diagnosis. Established in 2017, DEEL focuses on overcoming scientific obstacles associated with machine learning's theoretical understanding to meet industrial standards for safety and reliability.
• explainable ai
• dependable ai
• focus on critical systems
• robustness
• ai certification
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