This lecture addresses several important questions on the interface between technology and society: Why our world becomes ever more complex? Can we cope with world complexity? What is the relation between freedom of speech and information filtering? What is the psychological background of on-line cults and conspiracy theories? Why negative views propagate faster? What is… Continue reading Social Impact of AI Science and Engineering: Information Filtering and Disinformation
The aim of this lecture is to a) define Computational Politics as a discipline lying at the intersection of Political science and Computer science and b) present the use of AI and IT tools in political data analysis. Computational Politics has various subtopics, e.g.,: Political system modeling and design Community and citizen modeling Information flow… Continue reading AI and Computational Politics
No matter their exact form, AI Science and Engineering and its sister disciplines have many great challenges to address. Here is a partial list: Is AI Science and Technology a scientific discipline in its own right? How can we quantify knowledge? Can Virtual Reality truly empower meta-societies or is it just a hype? Can AI-powered… Continue reading AI Science and Engineering: A new scientific discipline? Lecture
The survey paper gives an introduction into manifold learning and how it is employed for important application fields (similarity search, image classification, synthesis & enhancement, video analysis, 3D data processing, nonlinear dimension reduction) in multimedia. Furthermore, available open source software frameworks for manifold learning are presented.
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, b) biological neural networks, c) AI and artificial neural networks, d) social structure and evolution… Continue reading AI, System Complexity, Life, Intelligence and Environment
The Aristotle University of Thessaloniki (hereinafter, AUTH) created the Mastodon posts dataset within the context of the project TEMA (Trusted Extremely Precise Mapping and Prediction for Emergency Management; Grant Agreement No. 101093003; Call: HORIZON-CL4-2022-DATA-01; Topic: HORIZON-CL4-2022-DATA-01-01) that is funded by the European Commission-European Union (starting date: 1 December 2022; end date: 30 November 2026). General… Continue reading Mastodon posts dataset