検索キーワード： 歴史・文化

In this provocative and optimistic rebuke to the catastrophists, Robert Bryce shows how innovation and the inexorable human desire to make things Smaller Faster Lighter Denser Cheaper is providing consumers with Cheaper and more abundant energy, Faster computing, Lighter vehicles, and myriad other goods. That same desire is fostering unprecedented prosperity, greater liberty, and yes, better environmental protection.

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.

新型のAppleTVに触発された「くぼたつ」こと久保田達也氏が、これまでの知見をもとに、AppleTV的なものによってもたらされるであろう未来TVについて、いくつかの過去の事例を挙げながら、まだ実現していないけれどもこれから起こるであろうことも含めて語ります。第1話は、ネットワークTVとは何かについて語ります。インターネットが日本に登場した時、ここまでの普及をどれだけの人が予測したのでしょうか?若い方々はインターネットがすでに社会に浸透した社会で仕事をするのですから、このネットワークTVを使って新ビジネスに挑戦してみて頂ければと思います。(C)2011株式会社イッツ

In How Progress Ends, Carl Benedikt Frey challenges the conventional belief that economic and technological progress is inevitable. For most of human history, stagnation was the norm, and even today progress and prosperity in the world's largest, most advanced economies—the United States and China—have fallen short of expectations. To appreciate why we cannot depend on any AI-fueled great leap forward, Frey offers a remarkable and fascinating journey across the globe, spanning the past 1,000 years, to explain why some societies flourish and others fail in the wake of rapid technological change

In their book Abundance, best-selling authors and futurists Peter Diamandis and Steven Kotler tackled grand global challenges, such as poverty, hunger, and energy. Then, in Bold, they chronicled the use of exponential technologies that allowed the emergence of powerful new entrepreneurs. Now the best-selling authors are back with The Future Is Faster Than You Think, a blueprint for how our world will change in response to the next 10 years of rapid technological disruption.

Weaving insights from philosophy, neuroscience, and history into a rich narrative, The Shallows explains how the internet is rerouting our neural pathways, replacing the subtle mind of the book reader with the distracted mind of the screen watcher. A gripping story of human transformation played out against a backdrop of technological upheaval, The Shallows will forever alter the way we think about media and our minds.

Minimalism is the art of knowing how much is just enough. Digital minimalism applies this idea to our personal technology. It's the key to living a focused life in an increasingly noisy world. In this timely and enlightening book, the best-selling author of Deep Work introduces a philosophy for technology use that has already improved countless lives.

It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills - and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These "bots" started with human programming and logic, but now their reach extends beyond what their creators ever expected.

UNIX等のマルチプラットフォームOSの技術者を支援するNPO法人MOSAは、Macintoshの技術者が拠り所とする団体でもある。この講演録は、そのMOSAが毎年秋に開催する泊まりがけのイベント、MOSA Software Meeting2008の基調講演を収録したものである。講演者は、軽妙な語り口ながら深い洞察力を秘めた話しで定評のある、大谷和利氏です。氏はこの講演の中で、iPhoneやMacintoshに関わる興味深い技術情報が多数紹介されました。MacintoshやiPhone、クラウド・コンピューティングに興味をお持ちの方には、ぜひお読みいただきたい一冊です。(C) NPO法人MOSA/Pamlink Corp.

A new industrial revolution has begun. Like mechanization or electricity before it, artificial intelligence will touch every aspect of our lives—and cause profound disruptions in the balance of global power, especially among the AI superpowers: China, the United States, and Europe. Autonomous weapons expert Paul Scharre takes listeners inside the fierce competition to develop and implement this game-changing technology and dominate the future.

Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Most AI is narrowly specific; that is, it can only do a single thing, in a single context. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization.

現在の日本経済を覆っているデフレは、たんなる景気循環による不景気ではない。かつての驚異的な高度成長のベースにあった産業資本主義が形を変え、ポスト産業資本主義に変質しつつある大転換に、日本の「会社」がうまく対応できないために起こっているのだ。日本が二十一世紀を生き抜くためには、産業資本主義時代のまま生き残っている個々の「会社」の仕組みを根本から洗い直し、新しい資本主義にふさわしい形にしていかなければならない。本書は、会社の仕組みを基礎の基礎からやさしく説き起こし、経営者、サラリーマン、そして、これから就職する学生諸氏が、新しい資本主義にふさわしい会社のあり方、新しい働き方を考えるヒントを提供する。第6章　日本型資本主義の起源

Robots are entering the mainstream. Technologies have advanced to the point of mass commercialization - Roomba, for example - and adoption by governments - most notably, their use of drones. Meanwhile, these devices are being received by a public whose main sources of information about robots are the fantasies of popular culture. We know a lot about C-3PO and Robocop, but not much about Atlas, Motoman, Kiva, or Beam - real-life robots that are reinventing warfare, the industrial workplace, and collaboration.

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: The union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

The bicycle is a vestige of the Victorian era, seemingly out of pace with our age of smartphones and ridesharing apps and driverless cars. Yet we live on a bicycle planet. Across the world, more people travel by bicycle than by any other form of transportation. Almost anyone can learn to ride a bike—and nearly everyone does. In Two Wheels Good, writer and critic Jody Rosen reshapes our understanding of this ubiquitous machine, an ever-present force in humanity's life and dreamlife, and a flashpoint in culture wars for more for than 200 years.

Between 1959 and 1989, Soviet scientists and officials made numerous attempts to network their nation - to construct a nationwide computer network. None of these attempts succeeded, and the enterprise had been abandoned by the time the Soviet Union fell apart. Meanwhile, ARPANET, the American precursor to the Internet, went online in 1969. Why did the Soviet network, with top-level scientists and patriotic incentives, fail while the American network succeeded? Find out.

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

鉄道ファンのみならず人気の高い「新幹線」をめぐる最新の話題を特集する。

Welcome to the age of behavioral addiction - an age in which half of the American population is addicted to at least one behavior. We obsess over our emails, Instagram likes, and Facebook feeds; we binge on TV episodes and YouTube videos; we work longer hours each year; and we spend an average of three hours each day using our smartphones. Half of us would rather suffer a broken bone than a broken phone, and Millennial kids spend so much time in front of screens that they struggle to interact with real, live humans.

After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning.