Artificial intelligence (AI) was coined in 1956 at the Dartmouth Project to describe machines that exhibit behaviors associated with human intelligence, such as learning. AI includes both weak/narrow AI with limited functions and strong AI that displays general human-level intelligence. Machine learning is a subset of AI that allows systems to learn from data without being explicitly programmed, and provides examples of AI applications. The key difference between AI and machine learning is that AI is the overarching concept of machine intelligence while machine learning is a specific method for achieving aspects of AI.

1. AI-ML
Introduction

2. Agenda
•What is Artificial Intelligence (AI)?
•Applications of AI
•Difference between AI and Machine Learning (ML)

7. Artificial Intelligence
•John McCarthy, Marvin L. Minsky, Nathaniel Rochester and Claude E. Shannon coined the term
"artificial intelligence"
•In a proposal wrote for the famous Dartmouth Project in Summer 1956.
•This conference started AI as a field.

9. Artificial Intelligence
“Every aspect of learning or any other feature of intelligence can in principle be so precisely described
that a machine can be made to simulate it.“

10. Artificial Intelligence
“Every aspect of learning or any other feature of intelligence can in principle be so precisely
described that a machine can be made to simulate it.“
Every aspect of learning or any other feature of intelligence that a machine can
simulate

12. Examples

13. Examples

14. Strong and Weak AI
•Weak AI, also known as narrow AI, is artificial intelligence with limited functionality.
•Weak AI operate within a pre-determined or pre-defined range of functions.
•Strong AI refers to machines that exhibit human intelligence.

15. Machine Learning
•Artificial intelligence is a technology that enables a machine to simulate human behavior.
•Machine learning is a subset of AI which allows a machine to automatically learn from past data
without programming explicitly.
AI
ML

16. Thank You