Artificial Intelligence in Daily Life. (2020)

• Record Type: Book
• Further Information: Note: Raymond S. T. Lee.
• Authors: Lee, Raymond S. T
• Contents: 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-based Search Engine 7.4 Ontological-based Search Engine and Semantic Web 7.5 Case Study – Turing Test and Ontology Search Engine Part III – AI Applications This section will discuss major contemporary AI applications which affect ways of living, working style and environment ranging from Intelligent Agents and Robotics to smart campus and smart city projects. Chap 8 Intelligent Agents and Robotics 8.1 Hardware Robots vs Software Agents 8.2 Intelligent Agent Technology 8.3 Agent Applications 8.4 Case Study – A Real Case of Shopping and Bargaining Agents Chap 9 Intelligent Transportation 9.1 From 1G to 5G 9.2 Location-based System and Positing Technology 9.3 AI-based Auto-driving System 9.4 Intelligent Transportation Systems 9.5 Case Study – How Intelligent Transportation Reshape our Daily Life? Chap 10 Smart Health 10.1 IoT and Intelligent Sensor Technology 10.2 Smart Health Monitoring Devices 10.3 Smart Doctor and Expert Systems 10.4 Smart Surgeon and Remote Surgery 10.5 Case Study – How AI and Big Data work to improve your health? Chap 11 Smart Education 11.1 Reinforcement Learning vs Traditional Learning 11.2 Reinforcement iLearning System 11.3 Ontological-based iLearning System 11.4 Case Study –AR-based Intelligent Holographical Classroom Chap 12 Smart City 12.1 Major Components of Smart City 12.2 Smart Pole 12.3 Smart House 12.4 Smart Campus 12.5 Case Study – How Smart City Reshape Our Daily Life? Part V – Beyond AI The section will discuss the topics beyond but critically important for the future development of AI. In particular, it will also discuss some critical issues such as ethics, the development of conscious mind, autonomous robotic in our daily life and related topics. Chap 13 AI and Self-consciousness 13.1 What is Intelligence? 13.2 Self-consciousness in AI 13.3 Self-awareness Agents 13.4 Case Study: Self-awareness AI, are we still in control? Chap 14 AI Ethics, Security and Privacy 14.1 AI THREE Golden Rule of Ethics 14.2 Internet Security and Authentication Technology 14.3 AI Security and Privacy Issues 14.4 Case Study: Do we need a new set of AI Ethic Rules? Chap 15 What's Next? 15.1 Beyond 5G + AI, What next? 15.2 AI and Quantum Computing 15.3 New Challenges in Future AI 15.4 Conclusion.
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (394 pages)
• Subjects: Computer science; Artificial intelligence; Educational technology; Technical education; Application software; Education -- Computers & Technology; Education -- Higher; Computers -- Data Processing; Computers -- General; Educational equipment & technology, computer-aided learning (CAL); Higher & further education, tertiary education; Information technology: general issues; Computers -- Intelligence (AI) & Semantics; Artificial intelligence
• Languages: English
• ISBNs: 9789811576959
• Related ISBNs: 9789811576942
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.