A fully autonomous system can: a) gain information about the environment, b) work for an extended period without human intervention, c) move either all or part of itself throughout its operating environment without human assistance and d) avoid situations that are harmful to people, property, or itself unless those are part of its design specifications.… Continue reading Introduction to Autonomous Systems
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AI, System Complexity, Life, Intelligence and Environment
This lecture overviews the relation between matter and system complexity on one hand and Life, Intelligence and Environment on the other one. First the theoretical tools (systems, graph and network theory) are overviewed. Then their relation to: a) life structure, c) biological neural networks, c) AI and artificial neural networks, d) social structure and evolution… Continue reading AI, System Complexity, Life, Intelligence and Environment
What is AI?
The stakes of this lecture are as follows: Can an ordinary person having a high school education and genuine interest understand the basic principles of Artificial Intelligence in just an one-hour lecture? If so, there is hope that she/he can comprehend the current AI Science advances and become an informed citizen that can form her/his… Continue reading What is AI?
Digital Painting Analysis and Conservation
This lecture overviews an important topic of Digital Humanities, namely digital painting analysis that has many applications in painting conservation and in the history of arts. It covers the following topics in detail: Structure from Motion (SfM) in 3D monument and painting reconstruction, fragmented artefact re-assembly, IR reflectography and mosaicking, image registration, crack restoration, color… Continue reading Digital Painting Analysis and Conservation
AI Science and High School Mathematics
This lecture addresses the challenge to explain the AI science basics using only High school Mathematics. Luckily enough, it has been proven to be a successful and very interesting undertaking. The lecture covers the following topics in detail: definition of AI science, Data and Vectors, Clustering, Classification, Neural Networks, Computer Vision and Natural Language Processing. Of course… Continue reading AI Science and High School Mathematics
Large Language Models, ChatGPT and University Education
This lecture overviews the impact of the Large Language Models, particularly of ChatGPT language model in Education, e.g., in Universities. First it present the ChatGPT transformer structure and ChatGPT training. It also overviews ChatGPT capabilities in language processing (e.g., text translation, summarization, text sentiment analysis, dialogue tasks, misinformation detection, code understanding and generation). The ChatGPT… Continue reading Large Language Models, ChatGPT and University Education