検索キーワード： コンピュータ・テクノロジー

In A Hacker’s Mind, Bruce Schneier takes hacking out of the world of computing and uses it to analyze the systems that underpin our society: from tax laws to financial markets to politics. He reveals an array of powerful actors whose hacks bend our economic, political, and legal systems to their advantage, at the expense of everyone else.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Today we take it for granted that Japan is a forge of the world's fantasies: the birthplace of Transformers and Pokémon, of food trends like ramen and artisanal whisky and cutting-edge manga and anime. But it wasn't always this way. The first Japanese products that trickled into the global marketplace after the Second World War inspired derision, not admiration. The three words Made in Japan were a punchline, a synonym for cheap trinkets from a defeated nation.

“フォーブスのトップ200社など、世界のトップ企業が採用するセキュリティ技術とは？”などと書くと、どこかの広告のようだが、大手企業が契約しているサイバーセキュリティ技術はイスラエルの、ごく一部の企業に集中している。以前から漠然と疑問に思っていたのだが、偶然にも自動車のサイバーセキュリティに関して取材をしているときにその理由を知った。ご存知のとおりイスラエルは地理、政治、宗教などにおいて複雑な状況にあり、日常的にテロの脅威にさらされている。このため諜報機関や軍事組織が発達していることはご存知だろう。国民皆徴兵制で、多くの国民は高校卒業後、大学に入る前に徴兵義務をこなすという。(本文より)本田雅一　続・モバイル通信リターンズはこちらから→http://yakan-hiko.com/honda.html

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

Neither a protest against AI, nor a speculative work on how AI could replace humans, Algorithms of Armageddon provides a time-critical understanding of why AI is being implemented through state weaponization, the realities for the global power balance, and more importantly, U.S. national security.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.

A gripping journey of discovery, The Catalyst moves from the early experiments that first hinted at RNA's spectacular powers, to Cech's own paradigm-shifting finding that it can catalyze cellular reactions, to the cutting-edge biotechnologies poised to reshape our health.

Listen to hilarious stories with serious lessons that Michael Lopp extracts from his varied and sometimes bizarre experiences as a manager at Apple, Pinterest, Palantir, Netscape, Symantec, Slack, and Borland. Many of the stories first appeared in primitive form in Lopp’s perennially popular blog, Rands in Repose. The third edition of Managing Humans contains a whole new season of episodes from the ongoing saga of Lopp's adventures in Silicon Valley, together with classic episodes remastered for high fidelity and freshness.

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

今、何が起きているのか？これからどうなるのか？人工知能とそれを支えるクラウド技術などの進化を長年追い続けてきた著者による、今後10年の社会変革を理解するためのベーシック・レポート

In Generative AI: Navigating the Course to the Artificial General Intelligence Future, Martin Musiol delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space.

In The Patient Will See You Now, Eric Topol, one of the nation's top physicians, examines what he calls medicine's "Gutenberg moment". Much as the printing press liberated knowledge from the control of an elite class, new technology is poised to democratize medicine. In this new era, patients will control their data and be emancipated from a paternalistic medical regime in which "the doctor knows best."

Skip the iPhone, the iPod, and the Macintosh. If you want to understand how Apple Inc. became an industry behemoth, look no further than the 1977 Apple II. The Apple II was a versatile piece of hardware, but its most compelling story isn't found in the feat of its engineering, the personalities of Apple's founders, or the way it set the stage for the company's multibillion-dollar future. Instead, historian Laine Nooney shows, what made the Apple II iconic was its software.

Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.

Amazon, Apple, Facebook, and Google are the four most influential companies on the planet. Just about everyone thinks they know how they got there. Just about everyone is wrong. For all that's been written about the Four over the last two decades, no one has captured their power and staggering success as insightfully as Scott Galloway. Instead of buying the myths these companies broadcast, Galloway asks fundamental questions.

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.

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers listeners a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society.

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.