Artificial Intelligence Theory

Internationally renowned privacy expert Daniel J. Solove draws from a range of fields, from law to philosophy to the humanities, to illustrate the profound changes technology is wreaking upon our privacy, why they matter, and what can be done about them. Solove provides incisive examinations of key concepts in the digital sphere, including control, manipulation, harm, automation, reputation, consent, prediction, inference, and many others.

As advances in AI spark fear and confusion, The Mind’s Mirror reminds us that in spite of the very real and pressing challenges, AI is a force with enormous potential to improve human life. Computer scientist and AI researcher Daniela Rus, along with science writer Gregory Mone, offers an expert perspective as a leader in the field who has witnessed many technological hype cycles. Rus and Mone illustrate the ways in which AI can help us become more productive, knowledgeable, creative, insightful, and even empathetic, as well as the many risks associated with misuse.

Unlock Faster Growth, Smarter Decisions, and Effortless Productivity Using AI Even If You’re Not Technical Stuck doing work that AI could already handle for you, if only you knew how to use it properly? Do marketing, sales, or customer-support tasks drain your time because you don’t know where AI actually works (and where it fails)? Have you tried AI tools before, only to get bland output, generic content, and zero real business impact?

El título de este libro reúne dos palabras cargadas de historia y de significado: humanismo y tecnología. Es precisamente el potencial transformador de las nuevas tecnologías el que nos impulsa ahora a preguntarnos por el lugar y la naturaleza del ser humano. En la era de las transiciones digitales, necesitamos más que nunca consolidar un principio de humanidad que dé sentido a lo técnico, que oriente el despliegue de los sistemas de inteligencia artificial (IA) hacia el cuidado de nuestra común naturaleza, de nuestra dignidad y libertad.

Tap into the future of wealth creation with the power of ChatGPT and AI-driven automation, and unlock new ways to elevate your financial success beyond imagination…

Obtenga ventajas competitivas y proteja el éxito de su negocio con IA. Logre nuevos éxitos comerciales con Multiplicador de ganancias de IA, su guía para aprovechar el poder de las aplicaciones de IA y los chatbots como ChatGPT y Claude. En este recurso esencial, descubrirá cómo los empresarios y propietarios de empresas digitales más innovadores de la actualidad utilizan la IA para transformar las operaciones, aumentar la productividad y hacer crecer las ventas.

The year 2026 is not a distant marker on a slow technological horizon; it is the crest of the wave. The time for conceptualizing AI’s future impact is over. We are now entering a compressed, high-velocity era—the Three-Year Leap (2026–2028) that will redefine the structure of work, capital, and society. This audiobook is a field guide to that leap. For decades, AI was a computational assistant, requiring explicit instruction for every task.

The Impact Of Artificial Intelligence The Rise of the Machines: Artificial intelligence, or AI, has been a hot topic in recent years as advancements in technology have allowed for the development of increasingly sophisticated AI systems. From self-driving cars to virtual assistants like Siri and Alexa, AI is becoming increasingly integrated into our everyday lives. One of the key drivers of the rise of AI is the exponential growth of data, which has been fueled by the widespread adoption of smartphones, social media platforms, and the Internet of Things.

Technology is our new life partner. No longer confined to the sidelines, new interactive technologies like AI therapists, avatar friends, and robot assistants are ready to transform technology's role from basic tools of convenience to intimate elements of our social and emotional lives.

Unlock the transformative potential of generative AI for your enterprise with "Understanding Generative AI for Business Leaders." This indispensable guide simplifies the complex world of AI, offering a beginner-friendly introduction and practical strategies for effective and ethical integration.

Unlock the Power of Generative AI: Master Creativity, Deep Learning, and Advanced AI in One Essential Collection! Are you ready to revolutionize your creativity, career, and understanding of artificial intelligence? Whether you're an absolute beginner or looking to sharpen your AI expertise, this book collection takes you on a transformative journey through the world of Generative AI, Deep Learning, and Neural Networks. Discover How AI Can Save You Time, Enhance Creativity, and Propel Your Career Forward!

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.

This book is designed to reveal secret techniques and equip you with real-world, immediate applications for various coding and development challenges. Each scenario unveils a unique situation, offers a specific prompt, and explores the robust and insightful response from ChatGPT. But the book hides more—it delves deep into instructive commentary, unveiling hidden insights on each scenario, providing a deeper understanding and larger context.

Literary Theory for Robots reveals the hidden history of modern machine intelligence, taking listeners on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories, and missile defense systems trained on Russian folktales. In this provocative reflection on the shared pasts of literature and computer science, former Microsoft engineer and professor of comparative literature Dennis Yi Tenen provides crucial context for recent developments in AI, which holds important lessons for the future of humans living with smart technology.

First and foremost, continued vigilance is crucial because AI has the potential to disrupt entire industries and change the job landscape. As machines become increasingly capable of performing tasks that were exclusively done by humans, it is essential for everyone to stay informed and adaptable. By remaining vigilant, we can ensure that we are prepared for the changes AI brings and can take proactive steps to upskill ourselves accordingly.

"This is a delightful account of one of the deepest and most fascinating explorations going on today at the frontier of our knowledge." —Carlo Rovelli, bestselling author of The Order of Time and Seven Brief Lessons on Physics A revelatory exploration of how a "theory of everything" depends...

This book is for engineering leaders and experienced developers who want to build serious software with AI—and actually unlock the leverage it offers. It introduces a clear, step-by-step workflow that makes this approach reliable, repeatable, and scalable. You’ll learn a practical, disciplined approach to building applications—not with AI as a co-pilot, but as the primary developer.

Are you ready to redefine your writing in the age of artificial intelligence? Unparalleled AI-driven Prompts: Explore more than 300 meticulously curated AI prompts. Whether you're drafting emails, texts, or social media posts, there's a prompt ready to guide your writing.

We are in the midst of an unprecedented degree of technology-driven change at the same time that society faces challenges more complex than our organizations and we as individuals have been prepared to handle. Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence is for leaders who want to create a better future within this context of change and supplies a balance of historical and theoretical context with practical frameworks for beginning to create a more human future today.

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.