Decentralized DNN Architectures

Abstract 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 […]

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AIDA Symposium and Summer School on ‘AI/ML Cutting Edge Trends'(AIDA AICET2025)

Invited Lectures, Tutorials, Short Courses, Workshops   Description Artificial Intelligence (AI), and Machine Learning (ML) in particular, advance very rapidly, at  a pace that even specialists have difficulties in following it. Its impact, particularly through Large Language Models and Generative AI affect almost all scientific disciplines. AI has a huge social impact, e.g., on education, […]

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AI University Education

Abstract This lecture overviews the impact of AI on education. First of all, the impact of AI on citizen education at High School level is overviewed. Then, the following question is debated: Is AI Science and Engineering a separate scientific discipline? The extend and geographical distribution of the AI studies worldwide is presented. Furthermore, the […]

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AI and Education Sciences

Abstract 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 […]

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AI Science and Engineering: Societal and Εnvironmental Ιmpact

Abstract Is “AI Science and Engineering” an un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering? As Artificial Intelligence (AI) studies and research flourish worldwide, it is worth debating whether we already observe the birth of a new discipline in the exact sciences that goes beyond the classical specializations […]

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CVML FunClub

CVML FunClub scope R&D in computer vision and machine learning. 2020 objective: development of fast convolution algorithms for computer vision and machine learning. Languages: C/C++, Python, CUDA. Members: anyone loving  mathematics and/or having programming interests/expertise in C/C++, Python, CUDA. Meetings: Every Friday, 6-7 pm EET, Prof. Pitas’ office, Department of Informatics, Mezzazine floor, Biology Building, […]

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— AIIA Summer School on Autonomous Systems 2020 —

Artificial Intelligence and Information Analysis (AIIA Lab) Aristotle University of Thessaloniki, Thessaloniki, Greece 24-28/8/2020   The ΑΙΙΑ Summer School on Autonomous Systems 2020 has special focus on autonomous self-driving cars (HW/SW architecture, highway environment perception, control), autonomous marive vehicles and autonomous drones (HW/SW architecture, world perception, modeling and mapping, mission planning and control). It consists of […]

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Call for Papers – Special Issue on Autonomous Driving

Call for Papers IEEE Signal Processing Society IEEE Signal Processing Magazine Special Issue on Autonomous Driving The integration of advanced sensing, signal processing, artificial intelligence, and controls technologies into vehicles is enabling intelligent automated vehicles that can navigate autonomously in various environments. In particular, autonomous driving and, more generally, automated driving is receiving a growing […]

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