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