Artificial Intelligence is the most demanding and trending field of today. A new tomorrow awaits with the seeds of Artificial Intelligence being sewed. Many people are switching to AI, and its demand is increasing manifold day by day. While there is still an ongoing debate if AI will take over the world and humans eventually, most people want to get in the AI race anyway. Will AI robots take over humans is tomorrow’s question, but for today, we must understand and study AI. Many people are often confused as to which books to refer to or what the content might be. Following is a list of the top 5 books every AI enthusiast must read at least once.
1. Artificial Intelligence – A Modern Approach by Stuart Russell and Peter Norvig (4th edition,2020)
Author : Stuart Russell and Peter Norvig
This book was first published in 1995, and recently its 4th edition has been released. The book is one of the most famous books on Artificial intelligence. It is regarded as a textbook of AI by many. It is used by more than 1000 universities worldwide. This book covers the latest development in AI in practical speech recognition, machine translation, autonomous vehicles, and household robotics. It also covers advanced topics in areas such as probabilistic reasoning, machine learning, and computer vision. It is a beginner friendly book, and if you want to start your AI career, this is the one you must read.
Contents –
- Artificial Intelligence
- Problem-solving
- Knowledge, reasoning, and planning
- Uncertain knowledge and reasoning
- Machine Learning
- Communicating, perceiving, and acting
- Conclusions
2. Artificial Intelligence: An Essential Beginner’s Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future
Author : Neil Wilkins
This book gives you a glimpse into Artificial Intelligence and a hypothetical simulation of a living brain inside a computer. Also, it talks about the impact of Artificial Intelligence on society and the future jobs of humans.
Contents –
- Confluence of Interests
- AI Myths
- Manipulating the Limbic System
- Motivation for Creating AI
- Basic Concepts
- IoT Ecosystem
- Fighting Against Tech Giants
- Seminal Inventions
- Fear-based Consumerism
- AI and Growth Hacking
- AI and Correcting Fake News
- AI and Big Data
- AI and Employment
- AI and The Legal System
- AI and Self-driving Vehicles
- Tech Giants As Rulers of Society
- AI as One World Religion
- Dietary Advice by AI
- AI and Loneliness
- AI and Ethics
- AI and Social Credit
- Hacking AI
- AI as Sports Referees
3. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Author : PEDRO DOMINGOS
This book was released in September 2015. Can there be just one algorithm that deals with all kinds of technology? Not valid to date, but it is possible shortly. This book revolves around this idea of a Master Algorithm. The book outlines five functions of Artificial Intelligence: inductive reasoning, connectionism, evolutionary computation, Bayes’ theorem, and analogical modeling, and focuses on building one single algorithm for all these functions.
Contents –
- The Machine-Learning Revolution
- The Master Algorithm
- Hume’s Problem of Induction
- How Does Your Brain Learn?
- Evolution : Nature’s Learning Algorithm
- In the Church of the Reverend Bayes
- You are What you Resemble
- Learning Without a Teacher
- The Pieces Of the Puzzle fall into Place
- This Is the World On Machine Learning
4. Superintelligence : Paths, Dangers, Strategies
Author : Nick Bostrom
This book was published in 2014. We don’t know if machines would be able to achieve human-level intelligence or not. Today’s Artificial intelligent systems may achieve human cognition in the future. But such superintelligent systems are also a significant threat to mankind. One of the book’s ideas is that superintelligence will either emerge quickly via strategic dominance or as a result of long collaborative efforts. In this race to achieve human-like artificial intelligence, one must not forget that it can lead to human extinction.
Contents –
- Past Developments and Present capabilities
- Paths to Superintelligence
- Forms of Superintelligence
- The Kinetics of an intelligent explosion
- Decisive strategic advantage
- Cognitive superpowers
- The superintelligent will
- Is the default outcome doom?
- The control problem
- Oracles,genies,sovereigns, tools
- Multipolar Scenarios
- Acquiring values
- Choosing the criteria for choosing
- The strategic picture
- Crunch Time
5. Life 3.0: Being Human in the Age of Artificial Intelligence
Author : Max Tegmark
This book was published in 2017, written by cosmologist Max Tegmark. The book prominently discusses the effect of Artificial intelligence on future life. Legendary Dr. Stephen Hawking endorses this book. The book focuses on many questions: will the future Artificial General Intelligence prove to be a boon for mankind, or will it be our biggest mistake and be the doomsday for humanity? The book begins with a situation in which AI has already exceeded human intelligence. The author takes us through the three stages of humankind since inception, namely Life 1.0, Life 2.0, and Life 3.0 .
Contents –
- Welcome to the most important conversation of our time.
- Matter Turns Intelligent
- The Near Future: Breakthroughs, Bugs,Laws , Weapons and Jobs
- Intelligence Explosion?
- Aftermath : The next 10000 years
- Our Cosmic Endowment : The next billion years and beyond
- Goals
- Consciousness