Computer Science Technology

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

Are you ready to pass the CompTIA A+ exams (220-1101 & 220-1102) with confidence and land your dream IT job? This power-packed study guide is your one-stop resource, designed to make learning easy, engaging, and effective—even if you're starting from scratch!

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

Before John Glenn orbited the Earth or Neil Armstrong walked on the moon, a group of dedicated female mathematicians known as "human computers" used pencils, slide rules, and adding machines to calculate the numbers that would launch rockets and astronauts into space. Among these problem solvers were a group of exceptionally talented African American women, some of the brightest minds of their generation.

James Gleick, the author of the best sellers Chaos and Genius, now brings us a work just as astonishing and masterly: A revelatory chronicle and meditation that shows how information has become the modern era’s defining quality - the blood, the fuel, the vital principle of our world. The story of information begins in a time profoundly unlike our own, when every thought and utterance vanishes as soon as it is born.

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. Part II focuses on the 20th and 21st centuries in which a greater density of narratives emerge alongside rapid developments in AI technology.

You feel it, don’t you? That background hum of change—no longer a whisper, but a rumble shaking the ground beneath your feet. Technology, especially AI, is accelerating at a dizzying pace. It’s thrilling… and overwhelming. But here's the good news: you're not powerless. You’re far more adaptable than you think. In The AI Future & You, psychologist and human resilience expert Dr. Robert Puff offers a deeply human roadmap for navigating this era of seismic change—not by resisting the wave, but by learning to ride it.

In the early 1990s, Motorola, the legendary American technology company, developed a revolutionary satellite system called Iridium that promised to be its crowning achievement. Light-years ahead of anything previously put into space, and built on technology developed for Ronald Reagan's "Star Wars", Iridium's constellation of 66 satellites in polar orbit meant that no matter where you were on Earth, at least one satellite was always overhead, and you could call Tibet from Fiji without a delay and without your call ever touching a wire.

The author of The Internet of Things presents his latest book.

An entertaining first look at how today's members of iGen - the children, teens, and young adults born in the mid-1990s and later - are vastly different from their millennial predecessors and from any other generation, from the renowned psychologist and author of Generation Me.

If keeping your business or your family safe from cybersecurity threats is on your to-do list, Cybersecurity for Dummies will introduce you to the basics of becoming cyber-secure! You'll learn what threats exist, and how to identify, protect against, detect, and respond to these threats, as well as how to recover if you have been breached!

Recoding History: The Audacious Women Who Shaped Our Digital World is an immersive look into the lives of some of computer history's most ingenious and audacious women. Pulling from the Computer History Museum’s archives and hosted by Reshma Saujani, the founder of Girls Who Code, listeners will learn and laugh along with these great minds as they recount their stories in their own words.

One reporter takes an immersive dive into white supremacy's explosive online presence, exploring the undercurrents of propaganda, racism, misogyny, and history that led us to where we are now. Shocking, humorous, and merciless in equal measure, Culture Warlords explores some of the vilest subcultures on the web - and shows us how we can fight back.

In a way that anyone can understand, How to Speak Tech: The Non-Techie's Guide to Tech Basics in Business spells out the essential technical terms and technologies involved in setting up a company's website or web application. Nontechnical business listeners will find their digital literacy painlessly improved with each ten-minute chapter of this illustrative story of one successful technology startup building its Web-based business from scratch.

The virus now known as Stuxnet was unlike any other piece of malware built before: Rather than simply hijacking targeted computers or stealing information from them, it proved that a piece of code could escape the digital realm and wreak actual, physical destruction—in this case, on an Iranian nuclear facility.

Merchants of Doubt has been praised—and attacked—around the world, for reasons easy to understand. This book tells, with “brutal clarity” (Huffington Post), the disquieting story of how a loose-knit group of high-level scientists and scientific advisers, with deep connections in politics and industry, ran effective campaigns to mislead the public and deny well-established scientific knowledge over four decades.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.

In this volume, Steven Johnson explores the history of innovation over centuries, tracing facets of modern life (refrigeration, clocks, and eyeglass lenses, to name a few) from their creation by hobbyists, amateurs, and entrepreneurs to their unintended historical consequences. Filled with surprising stories of accidental genius and brilliant mistakes - from the French publisher who invented the phonograph before Edison but forgot to include playback, to the Hollywood movie star who helped invent the technology behind Wi-Fi and Bluetooth.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.