Computer Science Technology

Weaving insights from philosophy, neuroscience, and history into a rich narrative, The Shallows explains how the internet is rerouting our neural pathways, replacing the subtle mind of the book reader with the distracted mind of the screen watcher. A gripping story of human transformation played out against a backdrop of technological upheaval, The Shallows will forever alter the way we think about media and our minds.

The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

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?

Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples.

Minimalism is the art of knowing how much is just enough. Digital minimalism applies this idea to our personal technology. It's the key to living a focused life in an increasingly noisy world. In this timely and enlightening book, the best-selling author of Deep Work introduces a philosophy for technology use that has already improved countless lives.

¿Te parece imposible la idea de defender tu presencia digital de amenazas invisibles? Aquí tienes una verdad contundente: no necesitas ser un experto en tecnología para dominar los conceptos básicos de ciberseguridad. De hecho, solo estás a un libro de transformar tu vida digital y proteger tu información personal y profesional contra las fuerzas oscuras del mundo cibernético.

You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984? Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses.

Voilà bientôt deux ans que le monde entier vit avec l’IA générative. Cette technologie est entrée dans nos vies fin 2022 avec le phénomène ChatGPT, ce robot conversationnel qui répond à toutes nos questions ou presque en quelques secondes. Sa facilité d’utilisation, ses attributs quasi humains et la qualité de ses réponses ont surpris la planète entière. Depuis, l’IA est partout : à la une des médias, dans les entreprises et dans les discours politiques. Même le Vatican a dû élaborer une ligne de conduite sur le sujet.

Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI’s moment finally arrived? In AI Valley, Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment.

Popular Lost Cities author David Hatcher Childress takes us into the amazing world of ancient technology, from computers in antiquity to the flying machines of the gods. Childress looks at the technology that was allegedly used in Atlantis and the theory that the Great Pyramid of Egypt was originally a gigantic power station. He examines tales of ancient flight and the technology that it involved; how the ancients used electricity; megalithic building techniques; the use of crystal lenses and the fire from the gods; and more.

Thoroughly updated for the latest release of the Certified Information Systems Security Professional exam, this comprehensive resource covers all objectives in the 2021 CISSP exam developed by the International Information Systems Security Certification Consortium (ISC)2®. CISSP All-in-One Exam Guide, Ninth Edition features learning objectives at the beginning of each chapter, exam tips, practice questions, and in-depth explanations.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

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.

In November 2022, OpenAI released GPT-4 in a chatbot form to the public. In just two months, it claimed 100 million users—the fastest app to ever reach this benchmark. Since then, AI has become an all-consuming topic, popping up on the news, in ads, on your messenger apps, and in conversations with friends and family. But as AI becomes ubiquitous and grows at an ever-increasing pace, what does it mean for the financial markets? MoneyGPT shows that the danger is not that AI will malfunction, but that it will function exactly as intended.

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.

As it absorbs data, gains agency, and intermediates between humans and reality, AI will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe, revolutionize fields as diverse as medicine and architecture, and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen.

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.

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.

In November 2022, a webpage was posted online with a simple text box. It was ChatGPT, and was unlike any app people had used before. It was more human than a customer service agent, more convenient than a Google search. Behind the scenes, battles for control and prestige between the world’s two leading AI firms, OpenAI and DeepMind, who now steers Google's AI efforts, has remained elusive—until now.

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.