Название: Getting Started with Artificial Intelligence
Автор: Lynn Walker
Издательство: Winmedia Press
Серия: Artificial Intelligence Fundamentals Book 3
Год: 2024
Страниц: 177
Язык: английский
Формат: pdf
Размер: 10.1 MB

Getting Started with Artificial Intelligence by Lynn Walker is a comprehensive guide designed for intermediate to advanced students eager to explore the world of AI. This book demystifies the core technologies driving Artificial Intelligence (AI), providing a practical, hands-on approach to understanding and leveraging AI for personal and professional growth. In this book, you will learn about the ethical considerations of AI, the importance of mass adoption for defense against misuse, and how to approach AI with a critical mind to mitigate misinformation. Through a structured, project-based learning methodology, you will build a Personalized Learning Assistant (PLA) that adapts to your learning pace and preferences, offering interactive exercises, immediate feedback, and resource recommendations. This book will provide you with a practical and hands-on introduction to working with AI. We'll dive into the essential tools, techniques, and processes you need to create your own AI projects. This isn't just about learning theory—it's about building real-world skills and acquiring the knowledge to confidently navigate the exciting world of AI development. We'll be taking everything you learned from the first two books and putting it into action. You'll discover how to set up your AI development environment, master fundamental programming skills, and manage data effectively for AI projects. We'll then guide you through building your very first AI project - a personalized learning assistant that will teach you the core concepts of AI through interactive learning experiences.

Название: Introduction to Artificial Intelligence
Автор: Lynn Walker
Издательство: Winmedia Press
Серия: Artificial Intelligence Fundamentals Book 1
Год: 2024
Язык: английский
Формат: pdf
Размер: 24.4 MB

Dive into the expansive world of Artificial Intelligence (AI) through the pages of "Introduction to Artificial Intelligence," where complex concepts are distilled into an accessible and engaging narrative. Designed for students, professionals, and enthusiasts alike, this comprehensive guide not only explores AI's technical fundamentals but also examines its profound impact on our society and industries. Part 1: The Foundations of Artificial Intelligence The journey begins with a clear definition of Artificial Intelligence, distinguishing between its subfields and the concepts of weak (narrow) and strong (general) AI. Explore AI's relationship to human intelligence and its broader implications on society. The historical context provided in the second chapter traces AI from its inception through various milestones, including the AI winters and its recent resurgence, setting the stage for a deeper exploration of its capabilities. Part 2: Unveiling the Techniques and Approaches of AI In the heart of the book, delve into the core techniques powering AI today. Understand the role of data, grasp fundamental Machine Learning principles, and discover the applications of Deep Learning. Special emphasis is given to cutting-edge fields like natural language processing and computer vision, illustrating how these technologies are reshaping the digital landscape. Part 3: The Impact of AI in Our World AI’s transformative power across various industries is thoroughly analyzed in this section. Whether you're a student aiming to make a career in AI, a professional seeking to gain a deeper understanding of its applications, or simply an enthusiast curious about Artificial Intelligence, this book is designed to provide a comprehensive yet understandable overview of this dynamic field.

Название: Generative AI and LLMs Natural Language Processing and Generative Adversarial Networks
Автор: S. Balasubramaniam, Seifedine Kadry, A. Prasanth, Rajesh Kumar Dhanaraj
Издательство: De Gruyter
Год: 2024
Страниц: 289
Язык: английский
Формат: True EPUB, MOBI
Размер: 10.1 MB

Generative Artificial Intelligence (GAI) and Large Language Models (LLM) are Machine Learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of Generative Artificial Intelligence (GAI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of Artificial Intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of Generative Artificial Intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback.

Название: AI Basics for Managers: A Comprehensive Guide for Managers to Implement, Measure, and Optimize AI in Business Operations Within the AI Revolution
Автор: Andrew Hinton
Издательство: Book Bound Studios
Серия: AI Fundamentals
Год: October 19, 2023
Страниц: 166
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unleash the Power of AI in Your Business and Confidently Navigate the Future. "AI Basics for Managers" is a revolutionary non-fiction book that demystifies the complex world of Artificial Intelligence (AI) for business leaders. This book, written by Andrew Hinton, a renowned AI and business strategy expert, offers practical insights, tools, and strategies that will empower managers to leverage AI for business growth and success. In this comprehensive guide, Andrew Hinton draws on extensive research and real-world case studies to explain key AI concepts, technologies, and their applications in business. AI technologies have the potential to revolutionize various aspects of management, from automating routine tasks and enhancing decision-making processes to improving customer experiences and driving innovation. By leveraging these cutting-edge tools, managers can unlock new opportunities for growth, efficiency, and competitive advantage. To begin our exploration of AI technologies, let us first clearly understand what Artificial Intelligence (AI) is. At its core, AI refers to developing computer systems that can perform tasks that typically require human intelligence. These tasks include learning from experience, recognizing patterns, understanding natural language (NLP), and making decisions based on complex data.

Название: Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Optimization Techniques, and More
Автор: Andrew Hinton
Издательство: Book Bound Studios
Год: November 12, 2023
Страниц: 172
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Are you ready to unlock the mathematical secrets that power today's most advanced Artificial Intelligence systems? "Essential Math for AI" is an essential guide for anyone looking to understand the complex mathematical underpinnings of Artificial Intelligence (AI). Whether you're an AI enthusiast, a student, or a professional in the field, this book is tailored to enrich your knowledge and prepare you for the future of AI innovation. "Essential Math for AI" provides a comprehensive overview of the mathematical concepts propelling AI forward and offers a glimpse into the future of how these disciplines will continue to shape the AI landscape. With chapter summaries to consolidate your learning and a clear path charted for future exploration, this book is your roadmap to becoming well-versed in the mathematics of AI. Take the next step in your AI journey. Embrace the mathematical challenges and opportunities with "Essential Math for AI."

Название: Core Technologies of Artificial Intelligence
Автор: Lynn Walker
Издательство: Winmedia Press
Год: 2024
Страниц: 197
Язык: английский
Формат: pdf
Размер: 13.6 MB

Unlock the transformative potential of Artificial Intelligence with "Core Technologies of Artificial Intelligence." This comprehensive guide demystifies the intricate world of AI, offering readers an in-depth understanding of the fundamental technologies driving this revolutionary field. Perfect for students, professionals, and AI enthusiasts, this book provides a structured learning path from basic concepts to advanced methodologies. Explore essential topics such as Machine Learning, Deep Learning, natural language processing (NLP), AI in robotics, and the latest advancements like quantum computing and neuromorphic engineering. Each chapter is meticulously designed to build on the previous one, ensuring a cohesive and engaging learning experience. Key Features: Advanced Machine Learning Techniques: Master complex methods, including ensemble methods, feature engineering, and model optimization; Deep Learning Architectures: Gain expertise in deep learning models such as CNNs, RNNs, Transformers, Autoencoders, and GANs; Natural Language Processing: Understand advanced NLP methodologies, from sentiment analysis to speech recognition technologies.

Название: Artificial Intelligence for Science (AI4S): Frontiers and Perspectives Based on Parallel Intelligence
Автор: Qinghai Miao, Fei-Yue Wang
Издательство: Springer
Год: 2024
Страниц: 118
Язык: английский
Формат: pdf (true), epub
Размер: 19.5 MB

This book presents a comprehensive framework for analyzing, evaluating, and guiding Artificial Intelligence (AI) for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators. It provides a systematic overview of recent AI4Sci advances in various disciplines and offers insights into the latest issues in and prospects of AI4Sci. The book is based on the theory of Parallel Intelligence (PI), which forms the foundation for the general AI4Sci framework. By analyzing multiple cases in various academic fields, this framework integrates key elements of AI4Sci, such as real scientific problems, datasets, virtual systems, AI methods, human roles, and organizational mechanisms, from a multidimensional perspective. It also assesses and summarizes the limitations of AI4Sci, incorporating the latest advances in AI for fundamental models. Lastly, it explores the impact of DeSci and DAO, as well as TAO, on AI4Sci ecosystem development and prospects. Through its balanced approach, the book offers readers a goal-oriented perspective, focusing on a concise presentation of the core ideas and reducing detailed descriptions of specific AI4Sci cases to a minimum. As Artificial Intelligence (AI) rapidly advances in recent years, its application in various scientific fields such as physics, chemistry, biology, astronomy, and others is also emerging. This technology, known as AI for Sciences (AI4S), is revolutionizing scientific research by providing new tools and techniques for analyzing data, discovering patterns, and making predictions, etc.

Название: Mastering Game Development with Python: Practical AI for Game Developers: Design Intelligent Games with Python! No Programming Experience Necessary. Build Smart Game Characters
Автор: Andrew M. Jones
Издательство: Independently published
Год: 2024
Страниц: 166
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unleash the Power of AI in Your Games: A Python Guide. Imagine crafting games where enemies anticipate your every move, characters exhibit lifelike behaviors, and the world itself feels alive. With "AI for Game Development with Python," you hold the key to transforming your game concepts into immersive realities fueled by the magic of Artificial Intelligence. This comprehensive guide is your roadmap to mastering AI game development using Python, the versatile and beginner-friendly programming language. Whether you're a seasoned game developer seeking to elevate your creations or a curious programmer with a passion for games, this book equips you with the knowledge and tools to bring your AI-fueled game concepts to life. The intersection of Artificial Intelligence (AI) and game development has ignited a revolution, birthing interactive worlds of unprecedented depth and complexity. At the heart of this transformation lies Python, a language celebrated for its readability, versatility, and a rich ecosystem of libraries tailored for AI and game development. This guide serves as your roadmap to mastering the art and science of infusing intelligence into your games. Whether you're a seasoned game developer seeking to elevate your projects or a curious programmer eager to explore this exciting frontier, you'll find invaluable insights and practical guidance within these pages. Python's role as a catalyst for AI-driven game development is explored in detail, highlighting essential libraries like NumPy, SciPy, Scikit-learn, TensorFlow, Keras, and Pygame. You'll learn how to harness these tools to create lifelike characters, dynamic environments, and engaging gameplay experiences.

Название: Kickstart Blockchain and Cryptography Fundamentals: Navigate the Intricacies of Modern Blockchain, Cryptography, Smart Contracts and Hyperledger for Driving Real-World Transformations
Автор: Veerendra Kumar Jain
Издательство: Orange Education Pvt Ltd AVA
Год: 2024
Страниц: 362
Язык: английский
Формат: epub (true)
Размер: 42.5 MB

Master Blockchain, Cryptography, and Smart Contracts. Unlock the true potential of blockchain technology with this essential guide, crafted for students and professionals looking to stay ahead in the fast-evolving digital landscape. Beginning with the foundations of Blockchain, the book moves on to explain the basics of decentralized, distributed ledgers that secure digital assets. You will then explore the role of Cryptographic Hash Functions (CHF) in safeguarding blockchain transactions through fixed-length hash values. Next, you will discover applications of Blockchain in Cryptocurrency and how digital assets like Bitcoin operate without central authorities. The book also covers Distributed Consensus in Open and Closed Environments, showing how blockchain ensures uniform agreement among nodes without a central server. You will then explore how blockchain is transforming industries by enabling secure, peer-to-peer transactions. The book introduces Hyperledger and Smart Contracts, highlighting how these tools automate and secure agreements without intermediaries. Finally, you will learn about facilitating communication between different blockchain networks through Blockchain Interoperability, and Legal and Environmental Aspects, examining the legal and environmental challenges blockchain faces. This book is not just a resource — it's your roadmap to mastering blockchain technology and revolutionizing your business. This book is tailored for undergraduates in Computer Science, IT, and MCA programs, as well as professionals and individuals in related fields. It assumes a foundational understanding of blockchain technology and cryptography, making it ideal for those seeking to deepen their knowledge in these areas.

Название: Artificial Intelligence of Things (AIoT): Current and Future Trends
Автор: Fadi Al-Turjman, Fahriye Altinay, Zehra Altinay Gazi
Издательство: Morgan Kaufmann/Elsevier
Год: 2025
Страниц: 350
Язык: английский
Формат: epub
Размер: 12.0 MB

Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implement technical advances, create application areas for intelligent systems, and how to develop new services and smart devices connected to the Internet. Section One covers AIoT in Everything, providing a wide range of applications for AIoT methods and technologies. Section Two gives readers comprehensive guidance on AIoT in Societal Research and Development, with practical case studies of how AIoT is impacting cultures around the world. Section Three covers the impact of AIoT in educational settings. The book also covers new capabilities such as pervasive sensing, multimedia sensing, Machine Learning, Deep Learning, and computing power. These new areas come with various requirements in terms of reliability, quality of service, and energy efficiency. A Deep Learning technique called a convolutional neural network (CNN) is used to identify objects in images and examine their visual content. CNN uses a pooling layer to make the pixels smaller and to help find and keep the pixel patch. However, numerous real-world applications of the CNN algorithm exist, such as for both cancer screening and biometric identification. CNN may provide answers to visual queries as well as caption photos. CNN networks examine the images provided as input and generate natural-language answers to the visuals. CNNs have become the most efficient tool for computer vision tasks due to their superior efficiency for both video and image data. For Computer Science researchers, Artificial Intelligence researchers, and researchers and practitioners working in the fields of Data Science, Machine Learning, and optimization. The primary audience also includes data analysts and software engineers working with the Internet of Things (IoT).