Factories of the Future

8Artificial Intelligence in Machine Learning

Sikander Singh Cheema*, Er. Lal Chand and Bhagwant Singh

Department of Computer Science and Engineering, Punjabi University, Patiala, Punjab, India

Abstract

In the news and science fiction, artificial intelligence and machine learning have always been hot topics. They’ve recently received increased media attention due to technological improvements in deep learning and the availability of more consumer-facing apps. Although the phrases machine learning and artificial intelligence are frequently interchanged, there is a distinction. Artificial intelligence is concerned with the concept of “intelligent.” Regardless of the underlying approach or algorithm, an A.I. system aims to act as if it has human intelligence. The emphasis in machine learning, on the other hand, is on “learning.” Without a person directly programming the knowledge, the system is attempting to learn something from the data. The expert system, for example, was one of the first A.I. achievements. An expert system is one in which the knowledge of a specific topic is put down as rules and directly programmed into the code, allowing the system to respond to questions and complete tasks as if it was a domain expert. This system may appear to have some human intelligence, but it isn’t “learning” from data. As a result, this system can be classified as an artificial intelligence (A.I.) system rather than a machine learning system [5]. Artificial intelligence is becoming ...