m - Artificial Intelligence 1

The 2nd edition will add a major chapter on Generative AI in Software Architecture. This chapter will provide a comprehensive background in generative models, its impact on software design, evolutio……続きを見る

Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects……続きを見る

Vivimos en la era de la información, pero también en la era de la confusión. En el mundo del SEO, uno de los conceptos más malinterpretados es el del link building. Durante años, he visto cómo empre……続きを見る

Understanding Artificial Minds through Human Minds: The Psychology of Artificial Intelligence provides an accessible introduction into artificial intelligence through the lens of psychology. What ar……続きを見る

In a world increasingly driven by algorithms, the power to think is no longer a uniquely human trait. Artificial Intelligence is evolving from passive data processors into autonomous decision-makers……続きを見る

This book explores the profound impact industrial robots are having across industries, reshaping the global economy, and redefining the future of work. It delves into the history of robotics, the cu……続きを見る

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for appli……続きを見る

This book focuses on the automation of analog integrated circuit design, particularly the sizing process. It introduces an innovative approach leveraging generative artificial intelligence, specific……続きを見る

This book presents a detailed exploration of advanced computational modeling techniques in the design, testing, and applications of rigid polyurethane foams (RPUFs). By leveraging modern approaches ……続きを見る

The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginner……続きを見る

Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often invol……続きを見る

Welcome to "Data Scientist Roadmap: A Comprehensive Guide" This book is designed to be your gateway into the world of data science, providing a smooth, clear, and accessible path for beginners and s……続きを見る

This book provides a comprehensive overview of the use of vision attentive technology and artificial intelligence methodologies for functional mobility assessment in elderly populations. Vision Atte……続きを見る

This book brings together a diverse range of findings on current and emerging business concerns when the authors were developing a series of 12 working Analytic Research Consortium (ARC) White Paper……続きを見る

This book, the second of two-volumes, builds on the Unification of Artificial Intelligence and Psychology: Volume One - Foundations to explore its consequences. In doing so, this volume unifies thre……続きを見る

This book ーthe first of a two-volume monographー seeks to unify the hitherto perceived-as-disparate foundations of psychology and artificial intelligence. It does this by replacing their constituti……続きを見る

Discover the easiest way to improve your writing with the ChatGPT Prompts Library! Whether you're a beginner or an experienced writer, the ChatGPT Prompts Library is the solution for when you need i……続きを見る

In this book the authors present new results on interpolation for nonmonotonic logics, abstract (function) independence, the Talmudic Kal Vachomer rule, and an equational solution of contrary-to-dut……続きを見る

This book delves into the transformative concept of Zero Trust, challenging traditional notions of network security and advocating for a paradigm shift in cybersecurity strategies. Beginning with an……続きを見る

First published in 1983, Cybernetics of Art uses the methodology and concepts of cybernetics to explore art and the creative process. Part I surveys the domain that includes both science and the art……続きを見る

Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going……続きを見る

The book "Ethics of AI" is an exploration of the ethical implications of artificial intelligence (AI) in its various forms. Things like why it is necessary to be ethical in artificial intelligence a……続きを見る

'The blizzard of excitement, misinformation and pure hype around AI has driven many of us to want an honest guide. If, like me, you’re one of those many, you need to read this book' BRIAN ENO Is AI ……続きを見る

Over the past few decades, the field of machine learning has made remarkable strides, surpassing human performance in tasks like voice and object recognition, as well as mastering various complex ga……続きを見る

Artificial Intelligence, or AI, has seemingly burst into public consciousness with sudden vigor. Previously relinquished to computer science journals, it erupted as the unrelenting topic of public m……続きを見る

Since the introduction of Automated Vehicles (AVs) on roads, there have been a number of high-profile collisions, which have highlighted significant driver challenges. These include challenges assoc……続きを見る

This book explores the integration of AI-powered chatbots such as ChatGPT into higher education for instructional and communication purposes. The author emphasizes the responsibility of higher educa……続きを見る

This book presents the intersection of two dynamic fields: Reinforcement Learning (RL) and RIS- Assisted Wireless Communications. With an emphasis on both discrete and continuous problems, it introd……続きを見る

Choose: Will AI Take Over the World? In a world where the relentless march of technology shapes our destiny, the enigma of artificial intelligence looms larger than ever. As I, ChatGPT, take you thr……続きを見る

Deep Learning for Engineers introduces the fundamental principles of deep learning along with an explanation of the basic elements required for understanding and applying deep learning models. As a ……続きを見る