Introduction to Artificial Intelligence (AI)

Artificial Intelligence (AI) is an interdisciplinary field that concerned with building machines capable of performing tasks that require human intelligence. Artificial intelligence was founded as an academic discipline in 1955, the goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects. AI has experienced a dramatic change by the concurrent advances in computer power, large amounts of data, and theoretical understanding. Now Artificial Intelligence (AI) has become an essential part of the technology industry.

Now AI is used in autonomous vehicles like self-driving cars, medical diagnosis, creating literature, proving mathematical theorems, playing games, search engines, online assistants, image recognition in photographs, spam filtering, predicting flight delays, targeting online advertisements, and in energy storage. Artificial intelligence is assisting doctors in hospitals. Financial institutions are using artificial neural network systems to detect charges or claims outside of the norm, flagging these for human investigation. Banks use artificial intelligence systems today to organize operations, maintain book-keeping, invest in stocks, and manage properties.

You may notice virtual agents in a website, a Virtual Agentis a computer-generated, animated, artificial intelligence virtual character that serves as an online customer service representative. In the agriculture field, AI is used to build agriculture robotics, solid and crop monitoring, and tools for predictive analysis. AI, assist you in your shopping needs by providing products with recommended sie, properties, features, color, or even brand. Do you want to know how AI changes the world?  Join the course now!


I am Dr. Ragesh Chandran, I have seven years of experience in teaching Physics in UG and PG level from 2013. Guided 14 M.Sc. Projects and doing research projects in Nanomaterials and Materials science.