Computer Science Technology

We are about to cross a critical threshold in the history of our species. Everything is about to change. Soon we will live surrounded by AIs. They will carry out complex tasks-operating businesses, producing unlimited digital content, running core government services and maintaining infrastructure. This will be a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. It represents nothing less than a step change in human capability. We are not prepared.

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.

After billions of dollars and 50 years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure.

While most of her peers were obsessed with their iPhones, Instagramming and Snapchatting their lives, and glued to streaming TV, 19-year-old Amy Crouch was growing up with minimal technology. In My Tech-Wise Life, she and her father, Andy Crouch, share how intentional and controlled use of modern devices, apps, and services has helped her avoid many of the negative experiences of her peers and cultivate positive experiences interacting with the real world.

As Vikram Mansharamani shows in this eye-opening book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively. The author provides principles and techniques for doing just that, empowering listeners with a more critical and nuanced approach to making decisions.

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.

This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.

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.

Have you ever chatted with a computer that seemed to really get you? Asked it a question and, seconds later, it gave you an answer that was actually useful—or even surprisingly insightful? If you’ve had that experience recently, there’s a good chance you were talking to ChatGPT. It might feel a bit like science fiction—an artificial intelligence that can hold a conversation, write emails, draft stories, explain complex topics, and even tell you a joke or two. But ChatGPT isn’t a futuristic fantasy anymore.

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.

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.

You probably don't realize that your supermarket is filled with foods that have a military origin: canned goods, packaged deli meats, TV dinners, cling wrap, energy bars…the list is almost endless. In fact, there's a watered-down combat ration lurking in practically every bag, box, can, bottle, jar, and carton Americans buy. Anastacia Marx de Salcedo shows how the Department of Defense Combat Feeding Directorate plans, funds, and spreads the food science that enables it to produce cheap, imperishable rations.

How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

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.

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.

For the first time in history, we have instantaneous access to the world’s knowledge. There has never been a better time to learn, to contribute, and to improve ourselves. Yet, rather than feeling empowered, we are often left feeling overwhelmed by this constant influx of information. The very knowledge that was supposed to set us free has instead led to the paralyzing stress of believing we’ll never know or remember enough. Now, this eye-opening and accessible guide shows how you can easily create your own personal system for knowledge management, otherwise known as a Second Brain.

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 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.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.