Artificial Intelligence in Daily Life

ISBN-13: 9789811576973 / Angielski / Miękka / 2021 / 394 str.

Raymond S. T. Lee

Spis treści

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

 

O autorze

Dr. Raymond Lee is the founder of Quantum Finance Forecast System QFFC, and currently an Associate Professor and IT Director at United International College (UIC). With more than 20 years of experience in IT consultancy and research into AI, Chaotic Neural Networks, Intelligent Fintech Systems, Quantum Finance, and Intelligent E-Commerce Systems, he has published over 100 publications and seven textbooks and research monographs on chaotic neural networks, AI-based fintech systems, intelligent agent technologies, chaotic cryptosystems, ontological agents, neural oscillators, biometrics, and weather simulation and forecasting systems. Dr. Lee’s latest book, Quantum Finance: Intelligent Forecast and Trading Systems, published by Springer in Nov 2019, serves as a textbook for a new course on Quantum Finance at the UIC. He has successfully commercialized his AI fintech inventions in the business sectors in China and Hong Kong.      

From 2012 to 2017, Dr. Lee served as Group CTO/Chief Analyst at Leanda Investment Group, China, where he applied his AI fintech invention - the Quantum Finance Forecast System - to major commodities in China for 1000+ investors. In Mar 2017, he set up the Quantum Finance Forecast Center (QFFC, http://qffc.org), a non-profit, AI fintech R&D and worldwide financial forecast center where traders and individual investors around the globe can access (free of charge) 129 financial forecasts based on the latest AI, chaotic neural network and quantum field theory technologies. QFFC currently has over 10,000 registered members, which include professional traders, quants, and independent investors from major funding houses and financial institutions.

Blurb

Given the exponential growth of Artificial Intelligence (AI) over the past few decades, AI and its related applications have become part of daily life in ways that we could never have dreamt of only a century ago. Our routines have been changed beyond measure by robotics and AI, which are now used in a vast array of services. Though AI is still in its infancy, we have already benefited immensely. This book introduces readers to basic Artificial Intelligence concepts, and helps them understand the relationship between AI and daily life.

In the interest of clarity, the content is divided into four major parts. Part I (AI Concepts) presents fundamental concepts of and information on AI; while Part II (AI Technology) introduces readers to the five core AI Technologies that provide the building blocks for various AI applications, namely: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), and Ontology-based Search Engine (OSE). In turn, Part III (AI Applications) reviews major contemporary applications that are impacting our ways of life, working styles and environment, ranging from intelligent agents and robotics to smart campus and smart city projects. Lastly, Part IV (Beyond AI) addresses related topics that are vital to the future development of AI. It also discusses a number of critical issues, such as AI ethics and privacy, the development of a conscious mind, and autonomous robotics in our daily lives.