1. Introduction
Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. AI research has been defined as the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals.
"The quest for artificial intelligence represents one of humanity's oldest and most ambitious endeavors."
— Alan Turing
1.1 Historical Context
The field of AI research was founded at a workshop held on the campus of Dartmouth College during the summer of 1956. The attendees became the founders and leaders of AI research for many decades.
Key Milestones
- 1 1950: Turing Test Proposed
- 2 1956: Dartmouth Conference
- 3 1964: First Chatbot ELIZA
2. Core Concepts
Machine Learning
The study of computer algorithms that improve automatically through experience.
Deep Learning
Part of ML based on artificial neural networks with representation learning.
These fundamental concepts form the backbone of modern AI systems, enabling computers to learn from examples and improve their performance over time without being explicitly programmed.
Did you know?
AI systems can now perform tasks that were once thought to be uniquely human, such as:
Natural Language Processing
Image Recognition
Strategic Game Playing