Computer Science Technology

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

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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.

Les enjeux et les impacts des dernières générations d'intelligence artificielle décryptés par un spécialiste mondial de l'IA. ChatGPT vous enthousiasme et vous effraie tout à la fois ? À entendre ses promoteurs, les capacités de l'intelligence artificielle seraient dès aujourd'hui sans limite. Luc Julia nous emmène dans un voyage au centre de l'IA, de son histoire et de son potentiel. Il déconstruit les idées reçues les plus répandues, à commencer par celle selon laquelle les IA génératives seraient créatives.

Early True Believers: The Untold Story of Silicon Alley is a 1990s saga of ambition and innovation set in Manhattan’s Silicon Alley, a swath of downtown that served as New York City’s nerve center of tech entrepreneurship. The series features the stories of a forgotten cohort of early internet visionaries, countercultural social networks, the digital gold rush, and the lavish events that came with it, including one held in an underground Tribeca bunker that abruptly ended in a police raid—a harbinger of the upheaval to come.

In 2023, hundreds of machine-learning scientists signed an open letter warning about our risk of extinction from smarter-than-human AI. Yet today, the race to develop superhuman AI is only accelerating, as many tech CEOs throw caution to the wind, aggressively scaling up systems they don't understand—and won’t be able to restrain. There is a good chance that they will succeed in building an artificial superintelligence on a timescale of years or decades. And no one is prepared for what will happen next.

Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.

Innovation is the main event of the modern age, the reason we experience both dramatic improvements in our living standards and unsettling changes in our society. Forget short-term symptoms like Donald Trump and Brexit, it is innovation itself that explains them and that will itself shape the 21st century for good and ill. Yet innovation remains a mysterious process, poorly understood by policy makers and businessmen, hard to summon into existence to order, yet inevitable and inexorable when it does happen.

Although we usually think of technology as something unique to modern times, our ancestors began to create the first technologies millions of years ago in the form of prehistoric tools and weapons. Over time, eight key technologies gradually freed us from the limitations of our animal origins.

In the gripping Never Panic Early, Fred Haise, Lunar Module Pilot for Apollo 13, offers a detailed firsthand account of when disaster struck three days into his mission to the moon. An oxygen tank exploded, a crewmate uttered the now iconic words, “Houston, we’ve had a problem here,” and the world anxiously watched as one of history’s most incredible rescue missions unfolded. Haise brings listeners into the heart of his experience on the challenging mission—considered NASA’s finest hour—and reflects on his life and career as an Apollo astronaut.

Simply Electrifying: The Technology That Transformed the World, from Benjamin Franklin to Elon Musk brings to life the 250-year history of electricity through the stories of the men and women who used it to transform our world: Benjamin Franklin, James Watt, Michael Faraday, Samuel F.B. Morse, Thomas Edison, Samuel Insull, Albert Einstein, Rachel Carson, Elon Musk, and more. In the process, it reveals for the first time the complete, thrilling, and often dangerous story of electricity's historic discovery, development, and worldwide application.

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In June of 2024, thirty-one years after its founding in a Denny’s restaurant, Nvidia became the most valuable corporation on Earth. The Thinking Machine is the astonishing story of how a designer of video game equipment conquered the market for AI hardware, and in the process re-invented the computer. Essential to Nvidia’s meteoric success is its visionary CEO Jensen Huang, who more than a decade ago, on the basis of a few promising scientific results, bet his entire company on AI.

Based on news reports, you might think there's a major cybersecurity threat every four to five months. In reality, there's a cybersecurity attack happening every minute of every day. In Cyber Crisis, Eric Cole gives listeners a clear-eyed picture of the information war raging in cyberspace. Drawing on 30 years of experience, Cole offers practical, actionable advice that even those with little technical background can implement, including steps to take on a daily, weekly, and monthly basis to protect their businesses and themselves.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.

Get coding with a hands-on introduction to Scratch. Step-by-step instructions will help young coders pick up Scratch. You'll be writing and directing your own programs in no time!

The Age of Surveillance Capitalism is neither a hand-wringing narrative of danger and decline nor a digital fairy tale. Rather, it offers a deeply reasoned and evocative examination of the contests over the next chapter of capitalism that will decide the meaning of information civilization in the 21st century. The stark issue at hand is whether we will be the masters of information and machines or its slaves.

We've arrived in a new era—GenAI is reshaping industries and decision-making processes across the board. As a result, understanding their potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape.