Computer Science Technology

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.

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.

Stories brought us together. Books spread our ideas – and our mythologies. The internet promised infinite knowledge. The algorithm learned our secrets – and then turned us against each other. What will AI do? NEXUS is the thrilling account of how we arrived at this moment, and the urgent choices we must now make to survive – and to thrive.

Are you curious about the future of computing but confused about where to start? Are you fascinated by the quantum buzz but intimidated by dense academic jargon? I'm here to guide you through the fascinating universe of quantum tech, in the simplest way possible. Whether you're a tech enthusiast, software developer, eager student, or an innovator at heart, this book is tailored for minds like yours. I've translated qubits, quantum gates, and superposition in a refreshingly easy way, so you don't need a PhD to come along for the ride.

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.

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.

Kevin Mitnick was the most elusive computer break-in artist in history. He accessed computers and networks at the world’s biggest companies—and however fast the authorities were, Mitnick was faster, sprinting through phone switches, computer systems, and cellular networks. He spent years skipping through cyberspace, always three steps ahead and labeled unstoppable.

The smartphones in our pockets and computers like brains. The vagaries of game theory and evolutionary biology. Nuclear weapons and self-replicating spacecrafts. All bear the fingerprints of one remarkable, yet largely overlooked, man: John von Neumann.

On the morning of April 26, 1986, Europe witnessed the worst nuclear disaster in history: the explosion of a reactor at the Chernobyl Nuclear Power Plant in Soviet Ukraine. Dozens died of radiation poisoning, fallout contaminated half the continent, and thousands fell ill. In Chernobyl, Serhii Plokhy draws on new sources to tell the dramatic stories of the firefighters, scientists, and soldiers who heroically extinguished the nuclear inferno. He lays bare the flaws of the Soviet nuclear industry....

Unlock the mysteries of AI – from beginner to advanced, embark on a journey into the heart of artificial intelligence! Are you amazed at how quickly AI is transforming our world? Curious about how machine learning and AI work? Feeling overwhelmed by the complexities of AI? This audiobook provides a comprehensive yet approachable guide, ideal for both beginners and those looking to expand their knowledge. The world of AI is vast, with applications in healthcare, finance, transportation, and more.

Two-time winner of the Pulitzer Prize David McCullough tells the dramatic story behind the story about the courageous brothers who taught the world how to fly: Wilbur and Orville Wright.

On December 17, 1903, at Kitty Hawk, North Carolina, Wilbur and Orville Wright's Wright Flyer became the first powered, heavier-than-air machine to achieve controlled, sustained flight with a pilot aboard. The Age of Flight had begun. How did they do it? And why?

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

In Thunderstruck, Erik Larson tells the interwoven stories of two men: Hawley Crippen, a very unlikely murderer, and Guglielmo Marconi, the obsessive creator of a seemingly supernatural means of communication. Their lives intersect during one of the greatest criminal chases of all time.

Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs. From script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In AI Agents in Action, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks.

In practical terms, making AI your ally and guide depends on the art of the prompt, the questions a user poses to a chatbot. As Chopra shows in detail, by asking the right questions, you can bring AI into your inner world, which is where personal growth happens. Chopra provides a personal assessment for you to better understand yourself and exercises to help you expand your awareness in any part of your life.

Ever wonder what goes on inside your computer? Take a look into how processors, networks, and more are all connected.

Domina la inteligencia artificial en poco tiempo, incluso si eres un principiante total o un novato en la tecnología con nuestra guía esencial: ¡potencia tu carrera y simplifica tu vida diaria!¿El mundo de la IA y el aprendizaje automático te parecen intimidantes, complejos o inalcanzables? Presentamos "La guía esencial para principiantes en IA", una guía completa que desglosa la IA y el aprendizaje automático de una manera fácil de entender para cualquier persona, independientemente de su competencia tecnológica.

Brilliant offers a sweeping view of a surprisingly revealing aspect of human history - from the stone lamps of the Pleistocene to the LEDs embedded in fabrics of the future. Jane Brox plumbs the class implications of light - who had it, who didn't - through the many centuries when crude lamps and tallow candles constricted waking hours. Brillant is infused with human voices, startling insights, and - only a few years before it becomes illegal to sell most incandescent light bulbs in the United States - timely questions about how our future lives will be shaped by light.

You shouldn't have to be a privacy expert to understand what happens to your data. April Falcon Doss, a privacy expert and former NSA and Senate lawyer, has seen this imbalance in action. In Cyber Privacy, Doss demystifies the digital footprints we leave in our daily lives and reveals how our data is being used - sometimes against us - by the private sector, the government, and even our employers and schools.

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.