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Artificial Intelligence is changing the way we think of technology. It is radically changing the various aspects of our daily life. Companies are now significantly making investments in AI to boost their future businesses. One of the best ways to decide which books could be useful for your career to understand AI is to look at which books others are reading.
You need to seek knowledge that is going to benefit you. Then you must fully soak your soul into this knowledge.
Here are the 10 Artificial Intelligence and Robots books you should read today,
This Jerry Kaplan classic, written in 2015 has been selected as one of the 10 best science and technology books of 2015 by The Economist. Through the book, Kaplan talks about the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities.
Kaplan also mention that the transition might be drastic and brutal, unless we address the two great aspects of the modern developed world: volatile labor markets and income inequality.
A Martin Ford non-fiction, written in 2015, this book takes an intimidating tour of AI's rapid advances. The book contains terrifying wealth of economic data from both the US and the UK, to highlight societal implications of the robots' rise.
The book also describes how jobs in education, finance, and healthcare can be easily automated today. Essentially, the book delves into what accelerating technological growth would implicate for us on an economic level, and for the upcoming generations and society as a whole.
Nick Bostrom's Superintelligence lays the foundation for understanding the future of humanity and intelligent life.
In his book, Bostrom mentions if machine brains surpassed human minds, then this new superintelligence can be extremely powerful. He asks questions crucial to the survival of human life: what happens when machines surpass humans in general intelligence? Will AI save or destroy us?
Originally written over 40 years ago, and released as a second edition in 1985, this classic provides an introduction to the science of reasoning processes in computers, as well as the approaches and results of more than two decades of research. Subjects such as, proving predicate-calculus theorem, machine architecture, psychological simulation, automatic programming, novel software techniques, industrial automation, have been enhanced by diagrams and clear illustrations.
After two and a half years in the making, Deep Learning (Adaptive Computation and Machine Learning series) was released in late 2016 and has quickly become a groundbreaking resource on the subject of deep learning.
Written by three of the top academics in the subject of deep learning, this book has been created for both graduate-level university students studying computer science, and software engineers alike.
In this book, Chace argues that 'œEconomic Singularity' is coming within a few decades and that most people will not be able to work for money because AI will be doing all or most of the work. Depending on how we plan, he says, this could be potentially good '“ or it could be devastating to the world economy. Hence; we need a new one. Robots are becoming more and more of a norm in many places and soon they will be in every workplace taking over mundane tasks. It's not long before AI starts doing tasks that we've always thought would require a human mind or touch to perform.
Written by acclaimed futurist Ray Kurzweil, this book takes a deep dive into how future civilizations will be dominated by the interconnectedness of humans and machines. He describes the rise and development of intelligent machines through the process of reverse engineering the human brain.
Ray describes this process through clear explanations of themes such as logical agents, the quantification of uncertainty, learning from example, the communication, perception, and action of natural language processing, and more. The book concludes with a discussion of the philosophical foundations of A.I., as well as an examination of what lies ahead in the years to come.
Created by Daniel Suarez in 2006, the book has been written in tandem with another novel called Freedom. Both Daemon and Freedom together comprise two-part novel describing a distributed, persistent computer application, known as The Daemon. After the original programmer's death, the program begins to transform the real world.
The book projected Daemon as corrupting and killing humans, besides running independently of human control.
In the Singularity is Near, Ray Kurzweil describes what he means by 'œThe Singularity.' That singularity is the combining, slowly and over time, of human intelligence with that of artificial intelligence. This will eventually take the already complex human mind and advance it to the point of computer intelligence, which could become vastly superior in many ways.
While Kurzweil doesn't deny that there will be consequences of this happening, he leans towards an optimistic view of what this new future of combined human and artificial intelligence will look like.
J. Storrs Hall written Beyond AI discusses some of the most specific topics and concerns around AI. The book delves into AI's ability to create novels or formulate laws in the near future. The book was published in 2007.
In his book, Hall reviews the history of AI, explaining the most significant roadblocks that the field has recently overcome, while predicting the probable achievements in the near future. Hall provides an intriguing glimpse into the possibilities that future might have in store for us, combining technologies such as cybernetics, computer science, psychology, philosophy of mind, neurophysiology, game theory, and economics and dilemmas on the horizon.
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