1 / 8

BEST BOOKS ON AI

Best books on ai to read in 2019.

shivamraletta
Télécharger la présentation

BEST BOOKS ON AI

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. BEST BOOKS ON ARTIFICIAL INTELLIGENCE Artificial Intelligence can be defined as the ability of machines to imitate human behavior and has come a long way – from nightmares and mad dreams to self-driving cars and automated factories. We bring you a list of artificial intelligence books that showcase rabid speculations, rich history, and intriguing (yet bizarre) theories from the world of artificial intelligence. Here’s a list of seven artificial intelligence books you must read in 2019:-

  2. 1.Our Final Invention(By James Barrat) Our Final Invention: Artificial Intelligence and the End of the Human Era is a 2013 non-fiction book by the Author of the book. The book discusses the potential benefits and possible risks of human-level or superhuman AI. Those supposed risks include extermination of the human race. Throughout the book, Barrat takes a cautionary tone, focusing on the threats artificial super-intelligence poses to human existence. Barrat emphasizes how difficult it would be to control or even to predict the actions of something that may become orders of magnitude more intelligent than the most intelligent humans.

  3. Life 3.0(By Max Tegmark) Life 3.0: Being Human in the Age of Artificial Intelligence] is a book by Swedish-American cosmologist Max Tegmark from MIT. Life 3.0 discusses Artificial Intelligence (AI) and its impact on the future of life on Earth and beyond. The book discusses a variety of societal implications, what can be done to maximize the chances of a positive outcome, and potential futures for humanity, technology and combinations thereof. The book begins by positing a scenario in which AI has exceeded human intelligence and become pervasive in society. Tegmark refers to different stages of human life since its inception: Life 1.0 referring to biological origins, Life 2.0 referring to cultural developments in humanity, and Life 3.0 referring to the technological age of humans.

  4. Artificial Intelligence: A Modern Approach (By Stuart J. Russell and Peter Norvig) Artificial Intelligence: A Modern Approach (AIMA) is a university textbook on artificial intelligence, written by Stuart J. Russell and Peter Norvig. It was first published in 1995 and the third edition of the book was released 11 December 2009. It is used in over 1350 universities worldwide and has been called "the most popular artificial intelligence textbook in the world".It is considered the standard text in the field of artificial intelligence. The book is intended for an undergraduate audience but can also be used for graduate-level studies with the suggestion of adding some of the primary sources listed in the extensive bibliography.

  5. Superintelligence: Paths, Dangers, Strategies(By Nick Bostrom) Superintelligence: Paths, Dangers, Strategies is a 2014 book by the Swedish philosopher Nick Bostrom from the University of Oxford. It argues that if machine brains surpass human brains in general intelligence, then this new superintelligence could replace humans as the dominant lifeform on Earth. Sufficiently intelligent machines could improve their own capabilities faster than human computer scientists,and the outcome could be an existential catastrophe for humans.] Bostrom's book has been translated into many languages and is available as an audiobook.

  6. Deep Learning with R(By Ray Kurzwiel) Ray Kurzweil was arguably responsible for popularizing the idea of the technological singularity. In which, much to the hopes of sun-deprived dreamers everywhere that the end was nigh for a super-intelligence would eventually emerge out of a self-improving runaway reaction. With it there'd be no telling what comes next in a world unknowable, ending history in its wake and bringing in a time of unfathomable change. While not all of Kurzweil's predictions are as verbose, many of Kurzweil's lesser predictions from years past have rung true.

  7. Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots(By John markoff) Author and journalist John Markoff offers a detailed and rich history of the field of robotics and artificial intelligence. He's interested in the interplay between human societies and the effect that increasing automation and intelligence will have in the workplace and other areas. Markoff explores the views of the designers behind these machines and the paradoxical nature of the potentialities of this new tech. He states: “The same technologies that extend the intellectual power of humans can displace them as well".

  8. Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins(By Gary Kasparov) Deep Thinking is a tightly argued case for technological progress, from the man who stood at its precipice with his own career at stake. Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology.

More Related