Artificial Intelligence History

Robots may one day rule the world, but what is a robot-ruled Earth like? Many think the first truly smart robots will be brain emulations, or ems. Scan a human brain, then run a model with the same connections on a fast computer, and you have a robot brain, but recognizably human. Train an em to do some job and copy it a million times; an army of workers is at your disposal. When they can be made cheaply, within perhaps a century, ems will displace humans in most jobs.

If you want to learn about artificial intelligence without having to go through a boring textbook, then pay attention....

If you want to learn about artificial intelligence, then pay attention.... So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars? What kind of impact will smart machines have on society and the future of human jobs? This book will give you a glimpse into the most fascinating topic of the 21st century - artificial intelligence (AI), a hypothetical simulation of a living brain inside a computer.

Are you confused about what all the rage behind artificial intelligence is and would like to learn more? This audiobook covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.

Imagine a world where your brain can be interrogated to learn your political beliefs, your thoughts can be used as evidence of a crime, and your own feelings can be held against you. A world where people who suffer from epilepsy receive alerts moments before a seizure, and the average person can peer into their own mind to eliminate painful memories or cure addictions.

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.

Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: A machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough audiobook, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching.

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

The future is now. Artificial "machine" intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars and automatic checkout at the drugstore and are unable to live without our smartphones. The discussion around AI is largely polarized; people think either machines will solve all problems for everyone or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity.

The future has amazing technology. Our alien allies have magic. Together, we are building a training system to teach the best of humanity to go to the stars. But the training is monumentally expensive. Stephanie Morgana is a genius, she just doesn't know it. The artificial intelligence that runs the virtual world is charged with testing Stephanie, a task it has never performed before. Will Stephanie pass the test and be moved to the advanced preparatory schools, or will the system miss her?

From the simple to the intricate and the audacious to the absurd, Adam Kucharski reveals the long and tangled history between betting and science and explains why gambling continues to generate insights into luck and decision making today. Covering exploits and ideas from across the globe, he meets the teams behind hedge funds that capitalize on inaccurate sports betting odds and explains how PhD-level pundits are using methods originally developed for the US nuclear program to predict sports results.

Humanity has reached a critical moment. Our world is unsettled and rapidly changing, and we face existential risks over the next century. Various outcomes - good and bad - are possible. Yet our approach to the future is characterized by short-term thinking, polarizing debates, alarmist rhetoric, and pessimism. In this short, exhilarating book, renowned scientist and best-selling author Martin Rees argues that humanity’s prospects depend on our taking a very different approach to planning for tomorrow.

Hilke Schellmann is an Emmy-award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU. In The Algorithm, she investigates the rise of artificial intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents and real-world tests, Schellmann discovers that many of the algorithms making high-stakes decisions are biased, racist, and do more harm than good.

The idea that human history is approaching a "singularity" - that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively enhanced biological intelligence, or both - has moved from the realm of science fiction to serious debate. Some singularity theorists predict that if the field of artificial intelligence (AI) continues to develop at its current dizzying rate, the singularity could come about in the middle of the present century.

If you want to learn about the internet of things, then pay attention.... You were just woken up in the middle of the night by smart light bulbs in your house blasting at full power for no reason. Your bleary-eyed investigation shows they tried to download a firmware update and failed. At that moment, Alexa starts quietly whispering sweet nonsense to herself in the corner and Roomba starts slamming into the nearest wall. What do you do? Is your house haunted or have the machines finally started an uprising? Neither - it’s just another day in the IoT wonderland.

With the ongoing advancement of AI and other technologies, our world is becoming increasingly intelligent. From chatbots to innovations in brain-computer interfaces to the possibility of superintelligences leading to the Singularity later this century, our reality is being transformed before our eyes. This is commonly seen as the natural result of progress, but what if there's more to it than that? What if intelligence is an inevitability, an underlying property of the universe?

The Leisure Class has descriptive copy which is not yet available from the Publisher.

The window for wealth is wide open in the cutting edge world of artificial intelligence. The AI market is already valued at nearly $100 billion, and by 2030, it could add $15.7 trillion to the world economy. Safe to say there’s plenty of profit to go around.

The Internet and smartphone are just the latest in a 250-year-long cycle of disruption that has continuously changed the way we live, the way we work, and the way we interact. The coming Augmented Age, however, promises a level of disruption, behavioral shifts, and changes that are unparalleled. While consumers today are camping outside of an Apple store waiting to be one of the first to score a new Apple Watch or iPhone, the next generation of wearables will be able to predict if we're likely to have a heart attack and recommend a course of action.