MUHAI #trAIning
The MUHAI project created educational materials, especially video tutorials and webinars on aspects of AI covered by the project.
Welcome to the Education Catalog! Here you can browse, search and access all the AI education resources currently indexed in the AI4EU AI-on-demand platform, including distance courses, onsite courses, and more.
You are welcome to publish your own educational resources here! To do so, log in to the platform (click on the arrow icon at the upper right corner), go to your dashboard (click on the user icon), and use the "Submit new content" button to access the submission forms.
The MUHAI project created educational materials, especially video tutorials and webinars on aspects of AI covered by the project.
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.
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...
Good practice usage guides about the baseline technology of the iMagine AI platform
Good practice usage guides about the baseline technology of the iMagine AI platform
Best practice document on image analysis with AI, with a specific focus on aquatic sciences but applicable to any research field
Best practice document on image analysis with AI, with a specific focus on aquatic sciences but applicable to any research field
The application of automated inspection for industrial pipe damage detection is attracting substantial research and development interest. Damage to pipes not only hinders the optimal functioning of factories but also presents a risk of industrial disaster...
As Deep Neural Network (DNN)-based algorithms are improving, pivotal changes are happening towards efficient and effective automation in the field of industrial inspection. In the scope of our project, we analyze X-ray images of steel pipelines to detect ...
Damage detection remains a critical challenge, especially within the industrial automation sector, necessitating the development of advanced inspection technologies and their potential applications. Conventional industrial inspection methods are hindered ...