RESEARCH PAPER ON ARTIFICIAL INTELLIGENCE & ITS APPLICATIONS

To examine features, introduction, definitions, history, applications, growth, and achievements of Artificial Intelligence.

Discusses AI methods like Machine Learning and NLP, and their application in industries, but doesn't compare a 'project' to existing solutions.

IVR, Google Translate, grammar checks, CAPTCHA, fraud detection, medical diagnosis, self-driven cars, humanoid robots, e-commerce recommendations.

It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. While no consensual definition of Artificial Intelligence (AI) exists, AI is broadly characterized as the study of computations that allow for perception, reason and action. Today, the amount of data that is generated, by both humans and machines, far outpaces humans’ ability to absorb, interpret, and make complex decisions based on that data. Artificial intelligence forms the basis for all computer learning and is the future of all complex decision making. This paper examines features of artificial Intelligence, introduction, definitions of AI, history, applications, growth and achievements.