The dAIEDGE Academy Summer School 2025 is held on 7-8 July 2025 at Scuola Universitaria Superiore Sant’Anna, Pisa, Italy. read more of dAIEDGE Academy Summer School

MANOLO will deliver a complete stack of trustworthy algorithms and tools to help AI systems reach better efficiency and seamless optimization in their operations, resources and data required to train, deploy and run high-quality and lighter AI models in b... read more of MANOLO EU Project Concept, Objectives & Vision

AI is reshaping industries, yet critical challenges – such as bias, fairness, and accountability – persist. As part of our DIVERSIFAIR mission, Turing College is launching a specialised training programme to help AI practitioners build more inclusive and ... read more of DIVERSIFAIR AI Ethics Course

ICT Technologies in the Healthcare Sector. Technologies for data storage and analysis. Language technologies and AI for medical records. Applications. read more of El uso de la IA para extraer valor de la historia clínica

Introduction to AI (2 hours) Data Acquisition (1.5 hours) Analysis, Visualization and AI Applications for Genetic Data (2 hours) AI Applications for Other Biotechnological Data (2 hours) Closure and Conclusions (0.5 hours) read more of Aplicaciones basadas en IA para el análisis de datos y optimización de procesos biotecnológicos

A glossary of AI-related terms to compare AI terminology with every-day use of language. read more of MUHAI #glossAIry

The MUHAI project created educational materials, especially video tutorials and webinars on aspects of AI covered by the project. read more of MUHAI #trAIning

Educational kits for civil society, industry and policy. Easy-to-understand resources explaining AI bias and fairness. Designed for anyone—no technical background required. Practical case studies showing real-world examples. read more of DIVERSIFAIR toolkits on Intersectional Fairness in AI

CALL FOR PAPERS Special Session at 22nd International Conference on Distributed Computing and Artificial Intelligence (DCAI) University of Lille (France) Format: Hybrid read more of CALL FOR PAPERS Trustworthy, Regulated, and Efficient AI at the Edge (TRUST-E) 22nd DCAI Lille, France. Hybrid

Compliance with safety standards is essential in safety-critical domains like automotive, rail and space. While traditional approaches to functional safety are well-established, the introduction of AI into safety-critical systems presents new complexities... read more of Explainable AI for Systems with Functional Safety Requirements