The best books to read about artificial intelligence are many in the market. But, there are a few of them that have proved to be more useful and valuable. These books have shown great yields for most people. So, we believe they'll also do well for you. Therefore, in this article, we will discuss some of the best books to read about artificial intelligence.

After a recent seminar at Stanford, I had a chat with adjunct professor Jerry Kaplan about artificial intelligence embodiment. The question was: Who are the thinkers and companies who are really pushing AI theory? Some experts believe that for artificial intelligence or artificial general intelligence (AGI) to function peacefully and effectively in society, it needs a body. Thoughts vary on the level of embodiment, the mortality of that body, and the complexity of sensing abilities and empathy needed. So I did some research into the current state of robots and AI embodiment to identify the clusters and trends in this area of technology.

The history of early AI is well researched and well written. But the pessimistic view seems over done and without a look at the counter evidence. Big Data: Does Size Matter? by Timandra Harkness The author is a great, witty journalist -- and she even hinted I should be sure to give this a shout-out. But I've not yet given it a proper read.

This is a useful overview of the current state of artificial intelligence. The author has clearly been swimming in these waters during his academic studies and professional career. I came away with the sense that his thoughts and observations were based on close personal experience and careful analysis. If the area interests you, I think that you'll find that Dr. Kaplan is an experienced guide. What are some of the major areas that the book examines?

Jerry Kaplan does for the future what Jared Diamond did for the past: He pulls together our human (or humanoid) fate in sparkling,often hilarious, prose. Kaplan begins by offering the non scientific reader (me) a clear overview of the AI advances that are poised to make human workers obsolete--offering eye popping examples explaining how the pace of technology is destined to overwhelm the human landscape of life and work. He then charts the changes that span FAR more than driverless cars. Mechanical robots (or what Kaplan calls "forged intelligences") will be more adept (and. of course, far more cost effective) than humans at performing every routine job from collecting our garbage to stocking our grocery shelves (and make those physical stores quaint relics of the past). "Synthetic intelligences" (machines that think and analyze information) will outwit humans at making complex diagnoses or writing legal briefs--automating out many of the hapless law school or medical students spending decades accumulating those mountainous student debts .

Jerry Kaplan spoke with Google's Clément Wolf about the growing worries about the political impact of automation on society, and increasing calls for platforms to try to address precieved threats to democracy.* Jerry Kaplan is widely known as an Artificial Intelligence expert, technical innovator, serial entrepreneur and bestselling author. He is currently a Fellow at the Center for Legal Informatics at Stanford University and a visiting lecturer in the computer science department, where he teaches social and economic impact of Artificial Intelligence.

Jerry Kaplan spoke with Google's Clément Wolf about the growing worries about the political impact of automation on society, and increasing calls for platforms to try to address precieved threats to democracy.* Jerry Kaplan is widely known as an Artificial Intelligence expert, technical innovator, serial entrepreneur and bestselling author. He is currently a Fellow at the Center for Legal Informatics at Stanford University and a visiting lecturer in the computer science department, where he teaches social and economic impact of Artificial Intelligence. After billions of dollars and fifty years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities.

If Daniel Nadler is right, a generation of college graduates with well-paid positions as junior researchers and analysts in the banking industry should be worried about their jobs. Mr Nadler's start-up, staffed with ex-Google engineers and backed partly by money from Google's venture capital arm, is trying to put them out of work. Its algorithms assess how different securities are likely to react after the release of a market-moving piece of information, such as a monthly employment report. That is the kind of work usually done by well-educated junior analysts, who pull data from terminals, fill in spreadsheets and crunch numbers. "There are several hundred thousand people employed in that capacity. We do it with machines," says Mr Nadler.

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Stanford's Jerry Kaplan says questions about whether robots can feel and think are fundamentally religious issues which humans don not have the capability to answer. This Carnegie Council event took place on November 29, 2016. For complete audio and transcript and video clips, go to: https://www.carnegiecouncil.org/studi...