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 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 ...
Artificial Intelligence (AI) has become a pivotal technology of the 21st century, prompting the rapid development of undergraduate and postgraduate AI education programs worldwide. This paper presents a comprehensive survey of these programs, spanning the...
This lecture overviews decentralized and distributed DNN architectures. Big data analysis can be greatly facilitated if decentralized/distributed DNN architectures are employed that interact with each other for DNN training and/or inference using the huma...
Attendees will obtain an initial contextualization of concepts such as Functional Safety Management and the introduction of AI lifecycles alongside traditional functional safety system lifecycles. They will also learn about the challenges faced by traditi...
ULTIMATE provides insights for the scientific research through publications. Stay up-to-date with them !
Video lecture on a practical example of full stack implementation of AI for processing and analyzing archival data.
How to leverage generative AI in our interaction with data. State-of-the-art for non-developers in 2024Q3. Consists of a video lecture that includes presentation of three tools: BmyRAG, ArkasAI Data Analyst, OLiT-T.
This lecture overviews the relation between AI and medical imaging and diagnosis.