ADR Awareness Centre

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.

This lecture overviews Decision Surfaces and, in particular, Support Vector Machines that have many applications in Machine Learning and Pattern Recognition. It covers the following topics in detail: Decision surfaces. Hyperplanes.

This lecture overviews Algebraic Graph Analysis that has many applications in Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Graph Basics.

This lecture overviews   Video Digitization that has many applications in digital video and TV. It covers the following topics in detail: Video scanning and sampling. 3D data types (Digital video signal, volumetric images).

This lecture overviews 3D Image and Shape Compression hat has many applications in stereo imaging, cinema and 3D TV.

This lecture overviews 3D Image Registration that has many applications in computer vision, and 3D medical imaging. It covers the following topics in detail: 2D and 3D rotations and translations, ICP algorithm, SVD 3D Point Cloud Registration.

Combined knowledge from linguistics, psychology, and natural language processing.

In this lecture, the limitations of Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) in effectively processing sequences are emphasized.

This lecture overviews the use of drones for infrastructure inspection and maintenance. Various types of inspection, e.g., using visual cameras, LIDAR or thermal cameras are reviewed. Primary application area is electric line inspection.

This lecture overviews Self-Awareness that has many applications in in Autonomous Systems and robotics. It covers the following topics in detail: Self-awareness definition, Self-aware systems, Cognitive architecture.

This lecture overviews digital image coordinate systems and their mathematical representations (vectors, matrices). Memory allocation issues are presented. Elementary digital image processing and geometrical transformations operations are explained.

Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition.