Mostrando títulos en Informática

Imagine a world where every student thrives, classrooms are vibrant hubs of innovation, and educators wield the power of artificial intelligence to revolutionize teaching and learning. Fearlessly Use AI in the Classroom is your ultimate guide to embracing this bold new frontier, crafted for educators, administrators, school board members, and parents alike. This audiobook takes you on a journey to demystify AI and unlock its transformative potential.

In this visionary book, Leslie Valiant argues that understanding the nature of our own educability is crucial to safeguarding our future. After breaking down how we process information to learn and apply knowledge, and drawing comparisons with other animals and AI systems, he explains why education should be humankind's central preoccupation. Will the unique capability that has been so foundational to our achievements and civilization continue to drive our progress, or will we fall victim to our vulnerabilities?

In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. Jose Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond.

In Transcend: Unlocking Humanity in the Age of AI, Faisal Hoque, one of the world’s leading management thinkers and technologists, and a bestselling author, provides listeners with the road maps they need to tackle the most important questions of our generation.

The Uncanny Muse explores the history of automation in the arts and delves into one of the most momentous and controversial aspects of AI: artificial creativity. The adoption of technology and machinery has long transformed the world, but as the potential for artificial intelligence expands, David Hajdu examines the new, increasingly urgent questions about technology's role in culture.

Most people are baffled by how computers work and assume that they will never understand them. What they don't realize - and what Daniel Hillis' short book brilliantly demonstrates - is that computers' seemingly complex operations can be broken down into a few simple parts that perform the same simple procedures over and over again. Computer wizard Hillis offers an easy-to-follow explanation of how data is processed that makes the operations of a computer seem as straightforward as those of a bicycle.

Unravel the secrets of the AI revolution in just 7 days, even if you've never written a line of code! Do terms like "Machine Learning" or "Neural Networks" confuse you? Eager to understand AI but unsure where to start? You're not alone. Many believe mastering AI is only for tech experts. But here's the truth: Anyone can learn AI, and this guide shows you how!

Artificial Intelligence for Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

Claude Shannon was a tinkerer, a playful wunderkind, a groundbreaking polymath, and a digital pioneer whose insights made the Information Age possible. He constructed fire-breathing trumpets and customized unicycles, outfoxed Vegas casinos, and built juggling robots, but he also wrote the seminal text of the Digital Revolution. That work allowed scientists to measure and manipulate information as objectively as any physical object. His work gave mathematicians and engineers the tools to bring that world to pass.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

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.

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.

I know you are going to like this book. While you may think you know something about DNA or you believe trying to find out about this seemingly difficult-to-understand part of life is just about impossible, you need to read this book that stays away from the long words of confusion and provides you with many of the secrets of this life giving, strange, wonderful, self-replicating, photonic messaging, creator and modifier of life. While our bodies have been invaded with more alien DNA from the Mitochondria than we have cells to support human DNA, we owe who we are, both physically and ...

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.

Step into the future of earnings with The Premier AI Duo—two guides to boost income and streamline work using AI. With "Unleashing the Millionaire Power of ChatGPT" and "The Ultimate ChatGPT and DALL·E Side Hustle Bible," discover side hustles, improve workflow, and create income streams—no tech skills needed!

Magnum opus of evolutionary cyberneticist and digital philosopher Alex M. Vikoulov on the ultimate nature of reality, consciousness, the physics of time, philosophy of mind, transhumanism, economic theory, the technological singularity, the extended Gaia theory, the impending phase transition of humanity, the simulation hypothesis, transcendental metaphysics, and God. In one volume, the author covers it all: from quantum physics to your experiential reality, from the Big Bang to the Omega Point, from the "flow state" to psychedelics, and more.

AI will be the defining development of the 21st century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment. In liberating us from routine work, however, AI will also challenge the organizing principles of our economic and social order.

Embark on a compelling exploration into the world of AI, where future reality meets boundless possibility. Can you afford to remain in the dark? When you watch a movie suggested by Netflix's AI, talk to your favorite brand's chatbot, or follow your car's navigation to the new restaurant in town, you interact with AI. Most people are spectators rather than actors in this fast-evolving digital epoch. This is where the insightful journey author Will Davis guides you on will change your perspective.

Can a well-programmed machine do anything a human can - only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?