With enormous data freely accessible online & a large number of authors and experts writing in the field of Artificial Intelligence, the novice is confused. Confused as to what and what not read. There are many articles on popular AI books but here are a few hidden gems to get your hands on :
1. How to Create a Mind: The Secret of Human Thought Revealed: by Ray Kurzweil
How to Create a Mind: The Secret of Human Thought Revealed is a non-fiction book about brains, both human and artificial, by the inventor and futurist Ray Kurzweil. First published in hardcover on November 13,2012 by Viking Press it became a New York Times Best Seller. It has received attention from The Washington Post, The New York Times and The New Yorker.
Kurzweil describes a series of thought experiments which suggest to him that the brain contains a hierarchy of pattern recognizers. Based on this he introduces his Pattern Recognition Theory of Mind. He says the neocortex contains 300 million very general pattern recognition circuits and argues that they are responsible for most aspects of human thought. He also suggests that the brain is a "recursive probabilistic fractal" whose line of code is represented within the 30-100 million bytes of compressed code in the genome.
2. The Emperor’s New Mind: Concerning Computers, Minds, and the Laws of Physics: by Roger Penrose and Martin Gardner
Unlike most artificial intelligence books, this one has been thoroughly researched to show that an artificially intelligent machine will never be capable of doing what a human mind can. Sir Roger Penrose claims this through sharing his research in physics, mathematics, cosmology, and philosophy. Whether you currently hold a belief that artificial intelligence can match that of a human or not, this book is a must-read.
3. Artificial Intelligence Simplified: Understanding Basic Concepts: by Dr.Binto George and Gail Carmichael
The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. A complex, long, overly mathematical textbook does not always serve the purpose of conveying the basic AI concepts to most people. Someone with basic knowledge in Computer Science can have a quick overview of AI (heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, super intelligence, etc.) with everyday examples. If you are taking a basic AI course and find the traditional AI textbooks intimidating, you may choose this as a “bridge” book, or as an introductory textbook.
For students, there is a lower priced edition (ISBN 978-1944708016) of the same book. Published by CSTrends LLP.
4. The Last Question: by Isaac Asimov, Bob E. Flick, Jim Gallant
This work of fiction tells us an enigma. We are the creator and the creation at the same time.
As humans evolve, they become "God" or Creator.
Each story shows humans evolution in increments.
( We evolve from flesh and blood to disembodied mind/energy/nano-tech particle cyborgs)
The first story, humans are on Earth.
The second story, humans are in Space.
The third story, humans are outside of the Galaxy.
The fourth story, humans got rid of their bodies and our Minds.As disembodied individuals, each of them has retained their personality or identity.
Fifth story, all individual minds lose their identity as they merge and form "GOD" or the Cosmic AC computer
The cycle of life starts all over again when the computer = God = Merged Individual Minds, manifests itself in the universe as big bang:"Let there be light"
In which, time, space, and life is created and entropy starts all over again.Thus, the cyclical pattern of the universe continues and so does humans' saga.
The question is: Which came first, the chicken or the egg? Cosmic AC/God or humans inventing the Cosmic AC/God?
Are we trapped in a computer glitch that with each big bang birth we all play the same story plots?
It helps to have mystical and transhumanism backgrounds to understand the story
5. Artificial Intelligence A Modern Approach: by Stuart Russell, Peter Norvig
The starter pack. Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
Dr.Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence.
According to an article in The New York Times, the course on artificial intelligence is “one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.” One of the other two courses, an introduction to database software, is being taught by Pearson authorDr. Jennifer Widom.
6. Artificial Intelligence and Machine Learning for Business - A No-Nonsense Guide to Data-Driven Technologies: by Steven Finlay
Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied to many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations which understand these tools and know how to use them are benefiting at the expense of their rivals.
Artificial Intelligence and Machine Learning for Business cuts through the technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application, and how to work with technical specialists (data scientists) to maximize the benefits of these technologies.
7. Machine, Platform, Crowd: Harnessing Our Digital Future: by Andrew McAfee
From the authors of the best-selling The Second Machine Age, a leader’s guide to success in a rapidly changing economy.
We live in strange times. A machine plays the strategy game Go better than any human; upstarts like Apple and Google destroy industry stalwarts such as Nokia; ideas from the crowd are repeatedly more innovative than corporate research labs.
MIT’s Andrew McAfee and Erik Brynjolfsson know what it takes to master this digital-powered shift: we must rethink the integration of minds and machines, of products and platforms, and of the core and the crowd. In all three cases, the balance now favours the second element of the pair, with massive implications for how we run our companies and live our lives.
In the tradition of agenda-setting classics like Clay Christensen’s The Innovator’s Dilemma, McAfee and Brynjolfsson deliver both a penetrating analysis of a new world and a toolkit for thriving in it. For startups and established businesses, or for anyone interested in what the future holds Machine, Platform, Crowd is essential reading.