Displaying 266 resources

Deep Reinforcement Learning

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.
Category
Data for AI, Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Explainable AI

This lecture overviews Explainable AI that has many applications in trustworthy AI systems and autonomous systems.
Category
Systems, methodologies, hardware, and tools, human-centric ai
Source
AI-OnDemand

Privacy Protection, Ethics and Regulations for Autonomous Cars

This lecture overviews Privacy Protection, Ethics and Regulations that have many applications in Autonomous Cars.
Category
Systems, methodologies, hardware, and tools, Reasoning and decision-making Technologies
Source
AI-OnDemand

Imitation Learning

This lecture overviews Imitation Learning (IL) that has many applications in Game Development, robotics training, Autonomous Driving and Computational Cinematography.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Robot Learning

The talk discusses the long-standing vision of creating autonomous robots capable of assisting humans in daily life. A crucial step toward this goal is enabling robots to learn tasks based on environmental cues or higher-level instructions.
Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand

Mathematical brain modeling

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).
Category
Data for AI, Systems, methodologies, hardware, and tools, human-centric ai
Source
AI-OnDemand