検索キーワード： オートメーション・ロボット工学

That Monday afternoon, in high-school gyms across America, kids were battling for the only glory American culture seems to want to dispense to the young these days: sports glory. But at Dos Pueblos High School in Goleta, California, in a gear-cluttered classroom, a different type of “cool” was brewing. A physics teacher with a dream - the first public high-school teacher ever to win a MacArthur Genius Award - had rounded up a band of high-I.Q. students who wanted to put their technical know-how to work.

An innovative trend combining technology with economics is unraveling behemoth industries - including corporations, banks, farms, media conglomerates, energy systems, governments, and schools - that have long dominated business and society. Size and scale have become a liability. A new generation of upstarts is using artificial intelligence to automate tasks that once required expensive investment, and "renting" technology platforms to build businesses for hyper-focused markets, enabling them to grow big without the bloat of giant organizations.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover - to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A "robot-proof" education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society.

In a world of self-driving cars and big data, smart algorithms and Siri, we know that artificial intelligence is getting smarter every day. Though all these nifty devices and programs might make our lives easier, they're also well on their way to making "good" jobs obsolete. A computer winning Jeopardy might seem like a trivial, if impressive, feat, but the same technology is making paralegals redundant as it undertakes electronic discovery, and is soon to do the same for radiologists.

Elon Musk, Stephen Hawking, and Bill Gates have proclaimed Artificial Intelligence as a possible threat in the future unless humans learn to use it wisely. Could this be true? Is it possible for us to create artificial intelligence programming so that we'll soon have thinking and feeling AI? Is it even possible for us to have a human-looking AI run for president in the future? All of these questions and thoughts are addressed in Artificial Intelligence: Understanding A.I. and the Implications of Machine Learning.

Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines are remaking the world of the 21st century in the same way that the Industrial Revolution remade the world of the 19th century. AIQ is based on a simple premise: If you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach listeners that language - but in an unconventional way, anchored in stories rather than mathematics.

Könnten Sie in wenigen Sätzen erklären, was Augmented Reality bedeutet? Was digitale Disruption oder Smart Health ausmacht? Wer der vielzitierte Homo Deus ist? Falls nicht, gehören Sie zu der großen Mehrheit derer, die zwar in und mit der Digitalisierung leben und arbeiten, die aber meist passen müssen, wenn es darum geht, die Schlagworte konkret zu erläutern. Es gibt viele spannende Publikationen über Digialisierung, aber keine, die den gesamten Themenkomplex erfasst und darlegt.

What robot and AI systems are being built and imagined right now? What do they say about us, their creators? Will they usher in a fantastic new future, or destroy us? What do some of our greatest thinkers, from physicist Brian Greene and futurist Kevin Kelly to inventor Dean Kamen, geneticist George Church, and filmmaker Tiffany Shlain, anticipate about our human-robot future? For even as robots and AI intrigue us and make us anxious about the future, our fascination with robots has always been about more than the potential of the technology.

The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.

In this audiobook, David Gunkel offers a provocative attempt to think about what has been previously regarded as unthinkable: whether and to what extent robots and other technological artifacts of our own making can and should have any claim to moral and legal standing.

Former physicist Andrew Maynard threads together his love of science-fiction movies with his expertise on emerging technologies to engage, entertain, and make you think about the relationship between technology and society. Through the imagination and creativity of science-fiction movies, Maynard introduces listeners to the profound capabilities presented by new and emerging technologies, and the complex personal and societal challenges they present.

Humans have landed men on the moon, programmed cars to drive themselves, and put the knowledge of our entire civilization in your back pocket. But no one - from MIT nerds to Army Corps engineers - has ever built a robot that can lay bricks as well as a mason. Unlike the controlled conditions of a factory line, where robots are now ubiquitous, no two construction sites are alike, and a day’s work involves countless variables - bricks that range in size and quality, temperamental mortar mixes, uneven terrain, fickle weather, and moody foremen.

A penetrating guide to artificial intelligence: what it is, what it does, and how it will change our lives. At a breathtaking pace, artificial intelligence is getting better and faster at making complex decisions. AI can already identify malignant tumors on CT scans, give legal advice, out-bluff the best poker players in the world, and, with ever-increasing skill, drive our cars.

In December 2005, a young robotocist on his way to Google headquarters lost an overnight bag on a flight somewhere between Dallas and Las Vegas. In it was the fully functional head of an android replica of Philip K. Dick, cult science fiction writer and counterculture guru. It has never been recovered. In a story that echoes some of the most paranoid fantasies of a Dick novel, listeners will get a fascinating inside look at the scientists and technology that made this amazing android possible.

How do you spot a robot mimicking a human? How do you recognize and deactivate a rebel servant robot? How do you escape a murderous "smart" house, or evade a swarm of marauding robotic flies? In this dryly hilarious survival guide, roboticist Daniel H. Wilson teaches worried humans the secrets to quashing a robot mutiny.

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?

Sexual activity is central to our very existence; it shapes how we think, how we act and how we live. With advances in technology come machines that may one day think independently. What will happen to us when we form close relationships with these intelligent systems? Sex robots are here and here to stay, and more are coming. This audiobook explores how the emerging and future development of sexual companion robots might affect us and the society in which we live. It explores the social changes arising from emerging technologies and our relationships with the machines that may someday care for us and about us.

Haptics, or haptic sensing, refers to the ability to identify and perceive objects through touch. This is active touch, involving exploration of an object with the hand rather than the passive sensing of a vibration or force on the skin. The development of new technologies, including prosthetic hands and tactile surfaces for flat screen displays, depends on our knowledge of haptics. In this volume in the MIT Press Essential Knowledge series, Lynette Jones offers an accessible overview of haptics, or active touch sensing, and its applications.

What do some of our greatest thinkers, from physicist Brian Greene and futurist Kevin Kelly to inventor Dean Kamen, geneticist George Church, and filmmaker Tiffany Shlain, anticipate for our human-robot future? From present-day Facebook and Amazon bots to near-future 'intimacy' bots and 'the robot that stole my job' bots, best-selling American popular science writer David Ewing Duncan's Talking to Robots is a wonderfully entertaining and insightful guide to possible future scenarios about robots, both real and imagined.