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Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of artificial intelligence (AI) to include human-centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view to embrace a human-centered perspective can shape the future of technology to better serve human needs. The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities.

'I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way' Adam Grant, New York Times bestselling author of Originals and Option B AI is everywhere. It powers the autocorrect function of your iPhone, helps Google Translate understand the...

“While we need to rewrite the rules of the twenty-first-century economy, Kevin’s book is a great look at how people can do this on a personal level to always put humanity first.”—Andrew Yang “A clear, compelling strategy for surviving the next wave of technology with our jobs—and...

While others debate whether AI will change business, smart entrepreneurs are already using Claude to work faster, think more clearly, and build better systems. The difference? They know the 56 practical skills that turn AI from a novelty into a competitive advantage.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity. 

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we...

A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview.

Your competitors aren’t “experimenting with AI” anymore. They’re wiring agents into support, marketing, and operations and watching work get finished before the coffee cools. AI Agent for Beginners is your fast-track audio playbook for turning ChatGPT, Gemini, and modern agent frameworks into real business leverage—not another toy that dies after the first demo.

WHAT IF MASTERING AI WASN'T ABOUT TECHNOLOGY BUT ABOUT UNLOCKING A SMARTER, MORE POWERFUL VERSION OF YOU? This 2-in-1 audiobook guide turns AI from a tool you use into a strategic partner that thinks, plans, and grows with you. Perfect for beginners and innovators alike, it blends practical...

Emily M. Bender e Alex Hanna spiegano perché le tecnologie vendute come "intelligenza artificiale" non sono una magia capace di risolvere ogni problema. L'IA di oggi è fatta di sistemi statistici su larga scala, che producono linguaggio e immagini senza comprenderli ‒ non un'intelligenza pensante ma «pappagalli stocastici». Le autrici ne sfatano i falsi miti e mettono in luce le insidie del loro impiego in ambiti chiave ‒ lavoro, sanità, giustizia, istruzione, scienza, arte e giornalismo.

Die vielfach ausgezeichnete Biochemikerin Renée Schroeder über den Menschheitstraum als Motor der Wissenschaft. Wissen Sie, was ein Xenobot ist? Es ist der erste lebende Roboter, hergestellt aus embryonalen Stammzellen eines Frosches. Diese Frosch-Roboter sind nur eines der vielen, bis vor kurzem ungeahnten Ergebnisse der biotechnologischen Forschung. Die Entwicklung ist rasant, etwa in der Gentechnologie, in der Bioinformatik, oder in der synthetischen Biologie, ein junges Forschungsgebiet, das programmierbare Organismen mit neuen Eigenschaften schaffen will.

How to stay ahead in a world transformed by AI. If you read (or listen to) nothing else on AI, listen to this book. We've chosen a new selection of current and classic Harvard Business Review articles that will help you make sense of the shifting landscape, anticipate opportunities and threats...

Artificial intelligence has evolved from a specialized research field into a general-purpose technology that's transforming nearly every industry. Large language models (LLMs) like GPT-4, Claude, and Gemini have demonstrated remarkable capabilities in understanding and generating human language. Image generation models create photorealistic images from text descriptions. Code generation tools assist programmers in writing software faster than ever before.

AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today.

Expanded and extended, this new edition of ChatGPT for Dummies covers the latest tools, models, and options available on the popular generative AI platform. You'll learn best practices for using ChatGPT as a text and media generation tool, research assistant, and content reviewer.

Jacob Javits of New York is the first United States senator to become fully automated,” the Chicago Tribune announced in 1962 from the Republican state convention in Buffalo, where an electronic Javits spat out slips of paper with answers to questions about everything from Cuba’s missiles...

Ready to revolutionize your coding journey and bypass years of traditional learning? "Learn to Code with GPT-5.4" is your definitive guide to AI assisted programming that transforms complete beginners into confident developers faster than ever thought possible.

Künstliche Intelligenz und Digitalisierung sind in aller Munde. Dennoch können die wenigsten erläutern, was KI eigentlich genau ist. Unser bisheriges Verständnis reicht oft einfach nicht aus, um diese neuen Dimensionen zu erfassen. Die Folge sind inhaltslose Buzzwords und viele toll klingende Fachbegriffe, die keiner versteht. Stefan Holtel weiß: Es braucht keine technische Expertise, um diese Umwälzung zu begreifen, es fehlen meist nur die richtigen Wörter, Bilder und Beispiele, um künstliche Intelligenz zu fassen.

In the history of enterprise technology, certain moments redefine the nature of work. The introduction of the personal computer democratized access. The rise of the internet enabled global connectivity. The advent of cloud computing delivered unprecedented scalability. Today, Microsoft Copilot ushers in a new era—one where intelligence is not merely embedded in software, but actively collaborates with professionals across every organizational layer.

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.