ADR Awareness Centre

This lecture overviews State –Space Equations that has many applications in digital filters, systems theory and deep learning.

This lecture overviews Autonomous Car Modeling and Control that has many applications in autonomous cars and automated driving.

This lecture overviews Deep Reinforcement Learning that has many applications in, e.g., Game playing agents, Self-driving vehicles, Robotics (Robot cleaners) and Stock exchange agents.

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 Wireless Communication Networks  that has many applications in autonomous systems.

A central challenge to contemporary AI is to integrate learning and reasoning.