ADR Awareness Centre

No matter their exact form, AI Science and Engineering and its sister disciplines have many great challenges to address. Here is a partial list:

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 dimensio

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.

The Aristotle University of Thessaloniki (hereinafter, AUTH) created the dataset ‘3D-Flood’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; start date: 01/12/202

Introduction

AUTH has created the "AUTH UAV Gesture Dataset" in the context of the “AERIAL-CORE” collaborative project, funded from the European Union's Horizon 2020 research and innovation programme.

Here's our Jan 7, 2023 draft! This draft is mostly a bug-fixing and restructuring release, there are no new chapters.

This resource corresponds to 1st video from the AI Excellence Lecture Series.

5 lectures on continual learning, given at ESSAI 2023.

Reinforcement learning is an appealing subject. Firstly, it is a very general concept: an agent interacts with an environment with the goal to maximize

This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms.

The adaptive processing of graph data is a long-standing research topic that has been lately consolidated as a theme of major interest in the deep learning community.