ADR Awareness Centre

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?

This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks.  It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).

This lecture overviews Introduction to 3D imaging that has many applications in medical imaging, scientific imaging, microscopy and computer vision.

Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving pre-defined targets or fulfilling certain goals

This lecture overviews Multiview Object Detection and Tracking that has many applications in video analysis and autonomous systems. It covers the following topics in detail: Multiview Human and Object Detection, Multiview Object tracking.

Object/Target tracking is a crucial component of many vision systems. Object tracking issues are overviewed, e.g., occlusion handling, feature loss, drifting to the backgound.

This paper delves into the critical role of social media in debates surrounding polarization, misinformation, and the state of democracy worldwide.

This lecture overviews Sonar Imaging that has many applications in autonomous marine vessels. It covers the following topics in detail: Hydro Acoustics, Sonar Hardware, Calibration, Noise reduction, Echograms, Post Processing.

This lecture overviews Imaging for Drone Safety that has many applications in autonomous drones.

This lecture overviews Video Production that has many applications in movie and TV productions. It covers the following topics in detail: Pre-Production.

This lecture Video Processing and Standards Conversion  that has many applications in video denoising, video interpolation and de-interlacing. It covers the following topics in detail: Continouous and discrete multidimensional signals.

This lecture overviews Label Propagation that has many applications in pattern recognition (semi-supervised learning) and in the study of diffusion processes.