Good practice usage guides about the baseline technology of the iMagine AI platform read more of Best practices and Guidelines for Developers and providers of AI-based Image Analytic Services

Good practice usage guides about the baseline technology of the iMagine AI platform read more of Best practices and Guidelines for Developers and providers of AI-based Image Analytic Services

Best practice document on image analysis with AI, with a specific focus on aquatic sciences but applicable to any research field read more of Best practices for producers and providers of image sets and image analysis applications in aquatic sciences

Best practice document on image analysis with AI, with a specific focus on aquatic sciences but applicable to any research field read more of Best practices for producers and providers of image sets and image analysis applications in aquatic sciences

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... read more of Advancing Industrial inspection: A Dataset for Automated Damage Detection in Insulated Pipes

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 ... read more of X-ray Anomaly Detection in Industrial Pipelines

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 ... read more of Foreground-Aware Knowledge Distillation for Enhanced Damage Detection

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... read more of Undergraduate University AI Education: A Survey

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... read more of Decentralized DNN Architectures

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... read more of Towards functional safety management for AI-based critical systems