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.
To make machines perform tasks with minimum human intervention, they are programmed to create a . In the field of Artificial Intelligence, algorithms that use data to learn on their own and make predictions are called . Interacting with computers using spoken languages like English or Hindi is dealt with by . Furthermore, a 3D computer-generated situation that simulates the real world, allowing the user to get immersed in it, is known as . On the other hand, superimposing computer-generated perceptual information over the existing physical surroundings is called . In robotics, a machine capable of carrying out tasks automatically with accuracy is programmable by a computer, and robots that resemble humans are known as . Lastly, an unmanned aircraft that can fly autonomously or be remotely controlled is called a .
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.