Weighing in from the cutting-edge frontiers of science, today´s most forward-thinking minds explore the rise of ´´machines that think.´´ Stephen Hawking recently made headlines by noting, ´´The development of full artificial intelligence could spell the end of the human race.´´ Others, conversely, have trumpeted a new age of ´´superintelligence´´ in which smart devices will exponentially extend human capacities. No longer just a matter of science-fiction fantasy (2001, Blade Runner, The Terminator, Her, etc.), it is time to seriously consider the reality of intelligent technology, many forms of which are already being integrated into our daily lives. In that spirit, John Brockman, publisher of Edge. org (´´the world´s smartest website´´ - The Guardian), asked the world´s most influential scientists, philosophers, and artists one of today´s most consequential questions: What do you think about machines that think?
What to Think About Machines That Think:Today´s Leading Thinkers on the Age of Machine Intelligence John Brockman
What to Think About Machines That Think:Today´s Leading Thinkers on the Age of Machine Intelligence Harper Perennial John Brockman
As the world becomes ever more dominated by technology, John Brockman´s latest addition to the acclaimed and best-selling Edge Question Series asks more than 175 leading scientists, philosophers, and artists: What do you think about machines that think? The development of artificial intelligence has been a source of fascination and anxiety ever since Alan Turing formalized the concept in 1950. Today, Stephen Hawking believes that AI ´´could spell the end of the human race´´. At the very least, its development raises complicated moral issues with powerful real-world implications - for us and for our machines. In this volume, recording artist Brian Eno proposes that we´re already part of an AI: global civilization, or what TED curator Chris Anderson elsewhere calls the hive mind. And author Pamela McCorduck considers what drives us to pursue AI in the first place. On the existential threat posed by superintelligent machines, Steven Pinker questions the likelihood of a robot uprising. Douglas Coupland traces discomfort with human-programmed AI to deeper fears about what constitutes ´´humanness´´. Martin Rees predicts the end of organic thinking while Daniel C. Dennett explains why he believes the Singularity might be an urban legend. Provocative, enriching, and accessible, What Do You Think About Machines That Think? may just be a practical guide to the not-so-distant future. 1. Language: English. Narrator: Brett Barry, Lisa Larsen. Audio sample: http://samples.audible.de/bk/harp/004632/bk_harp_004632_sample.mp3. Digital audiobook in aax.
I Think Therefore I Am a Machine: Yoram Har-Lev
The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM´s Watson triumphed on Jeopardy over puny human brains, and computer programs can be trained to play Atari games. But how do all these things work? In this audiobook, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today´s machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine; and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world - and to play Atari video games better than humans. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing listeners to many of the researchers involved and keeping technical details to a minimum. Science and technology buffs will find this audiobook an essential guide to a future in which machines can outsmart people. 1. Language: English. Narrator: Timothy Andrés Pabon. Audio sample: http://samples.audible.de/bk/tant/012430/bk_tant_012430_sample.mp3. Digital audiobook in aax.
Predictive Charts for Top Ten ETF Funds: How Does Artificial Intelligence PNN Machine Think of the Future of ETFs?: Bengoo Inc
Machines That Think explores how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and asks if AI is really a threat. Sometime in the future, the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of utopia, with machines doing a far better job at complex tasks than us? You might not realise it, but you interact with AIs every day. They route your phone calls, approve your credit card transactions and help your doctor interpret results. Driverless cars will soon be on the roads, with decision-making computers in charge. But how do machines actually think and learn? PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio on our desktop site. 1. Language: English. Narrator: Mark Elstob. Audio sample: http://samples.audible.de/bk/hodd/001248/bk_hodd_001248_sample.mp3. Digital audiobook in aax.