Foreground-Aware Knowledge Distillation for Enhanced Damage Detection

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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

Undergraduate University AI Education: A Survey

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 historical evolution of undergraduate AI education and revealing global trends. Undergraduate AI education equips the future workforce with fundamental AI… Continue reading Undergraduate University AI Education: A Survey

Decentralized DNN Architectures

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 human Teacher-Student education paradigm. A novel Learning-by-Education Node Community (LENC) framework is presented that facilitates communication and knowledge exchange among diverse Deep… Continue reading Decentralized DNN Architectures

AI and Book Publishing

This lecture overviews the relation between AI and book publishing. First, an in informative summary of  “What is AI?” is presented, containing topics such as Symbolic AI, Data, Machine Learning (Clustering, Classification and Neural Networks). Topics that are related to book content creation, e.g., image processing, computer vision and natural language processing, are presented. Various Generative AI approaches,… Continue reading AI and Book Publishing