Showing titles in Computer Science

Are you fascinated by apps like Microsoft’s ChatGPT and Google’s Gemini but unsure how you can utilize them to their full potential? Have you wondered how ChatGPT could help your writing, editing, and even gaming? Understanding and integrating Generative AI into your daily life may seem daunting, but it's not as difficult as you might think. In fact, with the right guide, anyone can harness the power of AI.

The founder of Microsoft presents his vision for the future, in which he sees the digital technologies of the coming years changing the way we buy, work, learn, and communicate...

Unlock the World of Neural Networks in Python! Ready to dive into AI and machine learning? This guide makes it easy, even if you're a Python pro or a total beginner!

Science world luminary John Brockman assembles twenty-five of the most important scientific minds, people who have been thinking about the field artificial intelligence for most of their careers, for an unparalleled round-table examination about mind, thinking, intelligence and what it means to...

Coexisting with AI: Work, Love, and Play in a Changing World is an exploration of how AI can be used at each stage of our lives. It helps listeners understand the positive impact of AI and where governance is needed from both an individual and business perspective. From childhood through to aging, this book delivers a holistic understanding of this exciting new technology in language that anyone can understand regardless of technical expertise.

Veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools-like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code.

Age of Invisible Machines quickly earned a reputation as a prophetic guide for technology and business leaders, swiftly becoming a Wall Street Journal bestseller by offering listeners an inside perspective shaped by Robb Wilson and Josh Tyson's hands-on experience collaborating with leading innovators across the AI space. When the first edition launched in late 2022, few realized how rapidly generative AI was advancing—but Wilson and Tyson were immersed in the cutting-edge developments happening across the industry.

The world of computers is growing at an unrecordable rate every day. Computers are the most influential tools in our lives. They are our present and future. Most users see a computer at the front and use the graphical user interfaces. The first time I used a computer, it intrigued me to know how these interfaces work. In this book, you will learn the same way I did.

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields. 

This eye-opening narrative journey into the rapidly changing world of artificial intelligence reveals the dangerous ways AI is exploiting the unconscious habits of our minds, and the real threat it poses to humanity: "The best book I have ever read about AI" (New York Times bestselling author...

Beginning in the 1970s, several scientific breakthroughs promised to transform the creation of new medicines. As investors sought to capitalize on these Nobel Prize-winning discoveries, the biotech industry grew to thousands of small companies around the world. Each sought to emulate what the major pharmaceutical companies had been doing for a century or more, but without the advantages of scale, scope, experience, and massive resources. From Breakthrough to Blockbuster focuses on both the companies themselves and the broader biotech ecosystem that supports them. 

Machines That Think explores how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and asks if AI is really a threat. Sometime in the future, the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of utopia, with machines doing a far better job at complex tasks than us?

Artificial intelligence is everywhere—powering news feeds, curating search results, and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes, its answers seem eerily smart, until they don't.

Two neuroscientists trace a sweeping new vision of consciousness across eighteen increasingly intelligent minds, from microbes to humankind and beyond. Why do minds exist? How did mud and stone develop into beings that can experience longing, regret, love, and compassion—beings that are aware...

Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI’s pattern-finding superpower can lead to spurious patterns. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively.

Once, we humans could only observe evolution. Suddenly, we had conquered it. And yet, in Life as We Made It, evolutionary biologist Beth Shapiro argues that - despite how amazing our new technologies are - our ability to alter the course of evolution isn’t new. What is new is that where once we shaped evolution through brute force, we can now do it as artisans. That power comes not a moment too soon. If we are going to survive in the next few centuries, we must revise the book of life. 

Dan Kennedy and Parthiv Shah leverage their extensive marketing expertise to teach you proven, no-nonsense strategies for achieving successful marketing automation. This exceptional addition to the No B. S. series is essential for anyone aiming to harness software and cutting-edge technology to elevate their marketing efforts.

AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML) - twin technologies that stand poised to revolutionize the way we sell. This book helps you lean into the curve and take advantage of AI's unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the "what" to reveal the "how".

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

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.