Títulos em Computadores e Tecnologia

In this groundbreaking treatise, Palantir co-founder and CEO Alexander C. Karp and Nicholas W. Zamiska offer a searing critique of our collective abandonment of ambition, arguing that in order for the U.S. and its allies to retain their global edge—and preserve the freedoms we take for granted—the software industry must renew its commitment to addressing our most urgent challenges, including the new arms race of artificial intelligence. The government, in turn, must embrace the most effective features of the engineering mindset that has propelled Silicon Valley’s success.

Steven Johnson traça a história por trás de quase duzentas descobertas e invenções, e nos mostra os sete padrões fundamentais dos processos de inovação desenvolvidos pelo homem e pela natureza. Quais são os espaços que fizeram história ao gerar níveis excepcionais de criatividade e inovação? Que processos estimulam nossa criatividade? O que podemos fazer para recriá-los em nosso cotidiano? Steven Johnson, um dos mais importantes pensadores da internet, investiga como surgem as boas ideias e as características dos ambientes em que elas são mais comuns.

¿Te abruman las complejidades de la inteligencia artificial? ¿Intrigado por la tecnología pero no sabes por dónde empezar? "IA Generativa para principiantes: Una guía sencilla" es tu camino para transformar la curiosidad en habilidades prácticas, ¡sin experiencia previa!

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.

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.

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning initiatives, aka predictive AI projects, from conception to deployment.

Throughout history, technological change — whether it takes the form of agricultural improvements in the Middle Ages, the Industrial Revolution, or today’s artificial intelligence — has been viewed as a main driver of prosperity, working in the public interest. The reality, though, is that technology is shaped by what powerful people want and believe, generating riches, social respect, cultural prominence, and further political voice for those already powerful. For most of the rest of us, there is the illusion of progress.

100 Go Mistakes and How to Avoid Them puts a spotlight on common errors in Go code you might not even know you’re making. You’ll explore key areas of the language such as concurrency, testing, data structures, and more—and learn how to avoid and fix mistakes in your own projects.

No one noticed when capitalism died. Perhaps we were too distracted by the implosion of global finance, or the rise of populism, or the demise of the planet - or all of those cute cats on Instagram. But gradually, quietly, a yet more exploitative new system has taken hold: techno-feudalism. Crafted in the form of a letter to his late father, who first taught him about the power of new technologies to shape human history, Yanis Varoufakis explains how Big Tech has effected an invisible but fundamental transformation in all our lives.

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.

É curioso que a história dos computadores e da internet, ferramentas tão presentes em nosso dia a dia, seja tão pouco conhecida pela maioria das pessoas. E talvez mais interessante ainda seja o fato de, diferentemente de outras tecnologias revolucionárias a sua época, como o telefone e a lâmpada, essas invenções que mudaram a forma como vivemos serem em grande parte fruto de trabalho colaborativo.

From a New York Times investigative reporter, this “authoritative and devastating account of the impacts of social media” (New York Times Book Review) tracks the high-stakes inside story of how Big Tech’s breakneck race to drive engagement—and profits—at all costs fractured the world, and is “an essential book for our times” (Ezra Klein).

Code performance versus simplicity. Delivery speed versus duplication. Flexibility versus maintainability—every decision you make in software engineering involves balancing tradeoffs. In Software Mistakes and Tradeoffs, you’ll learn from costly mistakes that Tomasz Lelek and Jon Skeet have encountered over their impressive careers. You’ll explore real-world scenarios where poor understanding of tradeoffs leads to major problems down the road, so you can preempt your own mistakes with a more thoughtful approach to decision-making.

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka.

Neste guia, você aprenderá sobre todos os conceitos básicos da inteligência artificial. Você aprenderá o que é, como funciona e de onde veio (ou, em outras palavras, como tudo começou). Além disso, abordaremos algumas análises de dados e exemplos de inteligência artificial. Abordaremos várias etapas do processo analítico e veremos o que é necessário para que a inteligência artificial seja eficaz.

In The Experimentation Machine, HBS professor, entrepreneur, and venture capitalist Jeffrey J. Bussgang reveals how AI is transforming the way startups find product-market fit and scale.

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.

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.

Philosophe passionné par les grandes questions de notre temps, Luc Ferry décrypte les nouveaux enjeux de l’intelligence artificielle en convoquant les plus grands esprits, de Spinoza à Hegel en passant par Kant et Heidegger. Une révolution est en marche, et peu de gens s’en aperçoivent : l’IA est en train de profondément changer le monde. Avec clarté et profondeur, Luc Ferry explore les promesses et les limites de cette technologie fascinante, qui imite la pensée à la perfection.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.