Artificial Intelligence in Daily Life

Part I - AI Concepts

As the introductory section, this section will discuss the history and basic concepts of AI.

Chap 1 AI and Human Civilization - From Greek Mythology to AI Robotics

Chap 2 AI Fundamentals

2.1 Definition of AI

2.2 A Brief History of AI

2.3 Turing Test and AI

2.4 Strong AI vs Weak AI

2.5 Main components of AI

2.6 Case Study: Does Turing Test Really Work to Test for AI?

Part II - AI Technologies

This section discusses FIVE core AI Technologies which provide the building blocks of various different kind of AI applications, they are: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), Ontology-based Search Engine (OSE).

Chap 3 Machine Learning (ML)

3.1 What is Machine Learning (ML)?

3.2 Supervised Learning (SL)

3.3 Unsupervised Learning (UL)

3.4 Reinforcement Learning (RL)

3.5 Case Study - How can we improve our memory by using Reinforcement Learning?

Chap 4 Data Mining (DM) & Big Data (BD)

4.1 What is Knowledge?

4.2 Data Mining, Big Data and Knowledge Discovery

4.3 Traditional Data Mining Technology

4.4 AI-based Data Mining Technology

4.5 Case Study - How to "mine" our purchase habit using Data Mining Technology?

Chap 5 Computer Vision (CV)

5.1 Computer Vision vs Human Vision

5.2 3 Levels of Computer Vision - Figure-ground Segmentation, Pattern Recognition, Active Vision

5.3 Active Vision and Robotics

5.4 Computer Vision Technology

5.5 Case Study - How AI-based Facial Recognition System works?

Chap 6 Natural Language Processing (NLP)

6.1 Human Language and Intelligence

6.2 Natural Language Processing in AI

6.3 Speech Recognition and Voice Synthesis

6.4 Machine Translation

6.5 Case Study - English Language Tutoring Robots

Chap 7 Ontological-based Search Engine (OSE)

7.1 Human Knowledge and Ontology

7.2 How Search Engine Works?

7.3 Traditional Search Engine vs. Ontological