Understand how machines simulate human cognition, process language, and interact with the physical and simulated world.
Hook on everyday AI applications.
Definitions and mechanisms of AI, ML, and NLP.
Artificial Intelligence (AI) endeavors to simulate the natural intelligence of human beings into machines. The goal is to make machines behave intelligently by imitating cognitive functions like learning, decision-making, and problem-solving.
To achieve tasks with minimal human intervention, these machines are programmed to create a knowledge base and make informed decisions based on it.
Diagram showing AI, ML, and NLP relationships.
Machine Learning and Natural Language Processing are powerful subsets within the broader field of Artificial Intelligence.
Fill in the blanks on AI, ML, and NLP definitions.
Explanation of VR and AR.
Immersive experiences allow us to visualize, feel, and react by stimulating our senses. They enhance our interaction and involvement with digital environments, making them feel more realistic and engaging.
Two of the most prominent technologies creating these experiences are Virtual Reality (VR) and Augmented Reality (AR).
Visual comparison of Virtual and Augmented Reality.
VR replaces your reality entirely, while AR overlays digital information onto your actual physical environment.
Overview of robotics and its applications.
A robot is a programmable machine capable of carrying out tasks automatically with accuracy and precision. Originally conceptualized for repetitive or stressful industrial tasks, modern robotics combines mechanical engineering, electronics, and computer science.
Sensors are one of the prime components of a robot, allowing it to interpret and navigate its environment.