Learning Artificial Intelligence

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

Artificial Intelligence (AI) is transforming the world—are you ready to embrace it? Whether you're curious about AI or looking to understand its impact on your life and career, AI for Beginners is your essential guide. This practical book breaks down complex AI concepts into easy-to-understand insights while exploring its real-world applications across industries.Inside, You’ll Discover: ✅ The Fundamentals of AI – Understand how artificial intelligence works and its key components. ✅ AI in Everyday Life – From virtual assistants to smart devices, see how AI enhances your daily ...

The New Corporate DNA: Why Skills Matter More Than Titles offers a comprehensive exploration into the transformative shift from traditional role-based structures to a dynamic, skills-centered approach. As organizations across industries navigate rapid change, this book provides a roadmap for those who want to foster adaptability, innovation, and inclusivity in their workforce. It guides readers through the essential elements of creating a skills-based organization (SBO), from establishing frameworks for skills mapping and leveraging AI-driven talent analytics to implementing personalized ...

Are You Ready to Transform Teaching and Learning in the Age of AI? Step into classrooms where students manipulate virtual molecules with their hands, history comes alive through AI-powered simulations, and personalized AI tutors adapt to each learner's unique needs. These aren't science fiction scenarios—they're the new realities of Embodied AI Education. Embodied AI Education: Unlocking Human Potential Through Enactive Learning offers a paradigm-shifting exploration of how AI can amplify our embodied, enactive learning experiences. Grounded in cognitive science, educational theory, and ...

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. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

A primer on Machine Learning tailored for individuals interested in exploring the field before advancing to more complex literature by the author, including 'Data Science' and other works. ('Data Science' achieved the #1 spot in Mathematical Analysis on Amazon).

You’re not alone. Teachers everywhere face the same challenges. But there’s a solution. AI for Educators will help you enhance classroom engagement, cut down on admin tasks, and keep up with AI-driven trends in education.

This book demonstrates how nonscientific ideas have been encoded deep into our technological infrastructure. Offering a rigorous, fresh perspective on how technology has brought us to this place, Rage Inside the Machine challenges the long-held assumption that technology is an apolitical and amoral force.

The rise of artificial technology has seen a total change in the way we live our lives, interact, and function in the world. It has infiltrated our reality at every given turn and there appears to be no turning back now. Data science, advanced algorithms, and pattern recognition are now becoming so advanced, but what are the consequences for this progress and has anybody stopped to think about the potential consequences to our innate humanness and spirit?

No hype or jargon—become adept at asking good questions about the data and obtaining answers to add significant business value to analytics and artificial intelligence (AI). We start by exploring fundamental topics, such as how data relates to your pain points, where to find the data, the skillsets involved in data work, and the two main data methodologies. Next, we cover high-level matters regarding data, expanding the scope of data initiatives and elaborating on the bigger picture of data work. Learn how to enrich your data assets, what professionals and technologies you’ll need to ...

This book is a brief introduction to Artificial Intelligence (AI) for beginners to be read in a short period of time. It will provide the basics of AI and its history, as well as its types, applications, algorithms, and technologies. It will also discuss the ethical issues related to AI and its potential future as well as how to get started in AI for those who would like to work in this field as a career. By the end of this book, readers should have a good understanding of AI and its potential applications. It also includes a tutorial chapter on ChatGPT and Prompt Engineering.

Artificial Intelligence (AI) has revolutionized the way we interact with technology and solve problems in today's world. One of the most prominent AI applications is ChatGPT, a natural language processing tool that can be used for writing, among other things. With ChatGPT, content creation can be done more quickly and efficiently than ever before. However, many people are still not taking full advantage of this technology's capabilities, and as a result, their content may be subpar. This article aims to help content creators get the most out of ChatGPT by exploring ten proven techniques to ...

If you want to learn about artificial intelligence, then pay attention.... So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars? What kind of impact will smart machines have on society and the future of human jobs? This book will give you a glimpse into the most fascinating topic of the 21st century - artificial intelligence (AI), a hypothetical simulation of a living brain inside a computer.

The book cover features a captivating image of a futuristic robot, standing tall and sleek against a backdrop of a technologically advanced cityscape. The robot's design showcases the cutting-edge advancements in robotics, with its intricate metallic structure and glowing sensors. The title, "The Robotic Revolution," is displayed prominently in bold, modern typography, emphasizing the central theme of the book. The subtitle, "From Innovation to Integration: How Robots are Transforming Industries and Society," reinforces the book's focus on the multifaceted impact of robotics on various ...

Understanding Generative AI is a curated guide to the most transformative technology of our time. From the roots of artificial intelligence to the rise of creative machines, this book explores how generative AI is reshaping art, work, education, and identity. Blending technical clarity with cultural insight, it explains complex ideas in accessible terms—revealing how machines now generate text, images, music, and more. Designed for thinkers, creators, and everyday readers alike, this structured journey equips you to navigate the promises, pitfalls, and potential futures of a world co-...

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

All you need to know to get started with chatbots. From a chatbot builder and industry expert. We are in the middle of a chatbot revolution that will be extremely important to human culture. Chatbots are already everywhere. As some of the chapters in this book detail, they are present in e-commerce, banking, health care, education and libraries. This book consists of two sections. First of all, a run through the history of chatbots, some thoughts about the future, and an examination of how chatbots are changing cultural activity in all sorts of spheres. This section addresses Machine ...

Are you interested in learning more about the rapidly-evolving field of Artificial Intelligence? Look no further than "AI on AI: Conversations with Artificial Intelligence about Artificial Intelligence. This ground-breaking book takes a unique approach to exploring the topic of AI, featuring conversations between a human and AI models. Through these conversations, you'll gain a deeper understanding of the current state of AI, as well as its potential for the future. You'll learn about the latest breakthroughs in machine learning, natural language processing, and computer vision, and gain ...

The following are core generative artificial intelligence (AI) aspects explained with key examples. Each aspect is grouped into one of the following: contextual learning, agents, fine-tuning, retrieval augmented generation, evaluation metrics, foundation models and transformers. Finally, example generative AI prompts to leverage, using the aspects is given. Contents: Overview of Generative AI Generative AI Aspects Using Generative AI Contextual Learning Model Agents Fine Tuning Retrieval Augmented Generation Evaluation Metrics Foundation Models Transformers About the Author: Notes:

Do you know the difference between general intelligence, and super intelligence at different levels of cognitive ability? Know everything about Artificial Intelligence from the book. If You are curious about the history and development of Artificial Intelligence (AI), this book is for you! It takes a closer look at key milestones in AI's history, starting with the Dartmouth Conference in the 1950s and continuing through to the present day. This book offers insights into the development of machine learning, expert systems, neural networks, deep learning, and big data, all of which have ...