Computer Science Technology

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.

From the author of The ChatGPT Millionaire, the highest-selling book on making money with AI, Discover how to quickly boost your income, automate your daily tasks, and win back your time.

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.

The New York Times best-selling author traces the development of technology from the Industrial Age to the Digital Age to explore the single component crucial to advancement - precision - in a superb history that is both an homage and a warning for our future.

For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses map-like structures to build a model of the world - not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.

In The Tech Coup, Marietje Schaake explains how technology companies crept into nearly every corner of our lives and our governments. She takes us beyond the headlines to high-stakes meetings with human rights defenders, business leaders, computer scientists, and politicians to show how technologies have gone from being heralded as utopian to undermining the pillars of our democracies.

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.

AI is much more than a sexy marketing gimmick. At its core, it’s a powerful business tool that can make operations and decision-making more efficient, employees more productive, and customers delighted. Unfortunately, leaders who want to take advantage of artificial intelligence often don’t know where to start. The process can feel overwhelming—from analyzing existing processes and software systems and choosing where to apply AI automation, to preparing every tier of the organization for the transition.

In IRREPLACEABLE, you will discover techniques to boost your career using AI—without losing your job to automation; secrets to unlocking your uniquely human abilities—ones AI can never replicate; counterintuitive methods to raise Future-ready children; strategies to avoid falling into the "AI Obesity" trap; and blueprints for leveraging AI to turn your company into an unstoppable force of innovation.

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?

In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning.

As humans compete for work against faster, cheaper, and smarter technology, the flood of AI-generated information undermines traditional expertise, eroding essential skills like writing, analysis, and decision-making. Despite these challenges, AI presents immense opportunities for those who master its intricacies, such as driving innovation, improving efficiency, and creating new markets. Can we thread the needle balancing the immeasurable benefits with the profound risks that AI presents to our future?

In Your AI Survival Guide, Sol Rashidi delivers an insightful and practical discussion of how to deploy artificial intelligence in your company. Having helped IBM launch Watson in 2011, Sol has firsthand knowledge of the ups, downs, and change management intricacies that can help you with a successful deployment beyond all the AI hype. She walks you through various frameworks for how to establish your AI strategy, pick your use cases, prepare your non-technology teams, and overcome the most common obstacles standing in the way of successfully implementing AI in your business.

Just months ago, millions of people were stunned by ChatGPT's amazing abilities–and its bizarre hallucinations. But that was 2022. GPT-4 is now here, with smarter, more accurate, and deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies–stat.

Early True Believers: The Untold Story of Silicon Alley is a 1990s saga of ambition and innovation set in Manhattan’s Silicon Alley, a swath of downtown that served as New York City’s nerve center of tech entrepreneurship. The series features the stories of a forgotten cohort of early internet visionaries, countercultural social networks, the digital gold rush, and the lavish events that came with it, including one held in an underground Tribeca bunker that abruptly ended in a police raid—a harbinger of the upheaval to come.

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the listener through the essential principles we need in order to derive knowledge from data.

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.

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 projects from conception to deployment.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

Size explains the regularities—and peculiarities—of the key processes shaping life (from microbes to whales), the Earth (from asteroids to volcanic eruptions), technical advances (from architecture to transportation), and societies and economies (from cities to wages).