The AI Summer School was organized in the framework of the Horizon Project ENFIELD, having taken place at the Budapest University of Technology and Economics, Hungary, from July, 28 to August, 1 2025.
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Bias in Medical AI: Identifying Risks and Ensuring Fairness (ENFIELD educational material)
The second ENFIELD webinar was organized in the framework of the Horizon Project ENFIELD, having taken place online on May 23, 2025.
Exploring AI Technologies from Ethics to Trust (ENFIELD educational material)
The 2024 ENFIELD webinar was organized in the framework of the Horizon Project ENFIELD, having taken place online on November 15, 2024.
X-ray Anomaly Detection in Industrial Pipelines
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 the presence of corrosion in a novel way. In our industrial scenario, a drone lands a crawler… Continue reading X-ray Anomaly Detection in Industrial Pipelines
Foreground-Aware Knowledge Distillation for Enhanced Damage Detection
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 by high costs and operational disruptions, motivating the development of innovative and efficient solutions. This paper introduces a novel, architecture-agnostic deep neural network (DNN) knowledge distillation… Continue reading Foreground-Aware Knowledge Distillation for Enhanced Damage Detection
Advancing Industrial inspection: A Dataset for Automated Damage Detection in Insulated Pipes
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 disasters, making the adoption of automated solutions imperative. The use of Unmanned Aerial Vehicles (UAVs) equipped with Deep Neural Network… Continue reading Advancing Industrial inspection: A Dataset for Automated Damage Detection in Insulated Pipes