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
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
This lecture overviews the impact of AI on Education Sciences. First an overview of Machine Learning is presented, focusing on the use of data in learning. Then Natural Language Processing is detailed, starting with word embedding, namely the transformation of words in vectors. This approach enabled the development of the Large language Models that are… Continue reading AI and Education Sciences
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
This lecture overviews the relation between AI and medical imaging and diagnosis. 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. The use… Continue reading AI in Medical Imaging
The short course aims to provide the foundation for understanding NGSI-LD Context Broker(s). The course will begin with a brief introduction to JSON-LD (JSON Linked Data) since it is the data format used by NGSI-LD. Next, there will be a brief mention of the history of NGSI-LD and who are the organizations that are currently… Continue reading Interoperability with JSON-LD and NGSI-LD via Orion Context Broker