Artificial Intelligence (Generative) Resources

The aim of this book is to explore the feasible solutions of various issues related to performance of green power technologies with the help of proven artificial intelligence techniques. Issues related to performance, wind energy conversion systems, micro/pico hydropower generation systems, fuel cell systems, and other emerging green power technologies are covered. Also, challenges in distributed energy generating systems and other relevant issues are covered.

Fashion is a glamorous industry, one of beauty, money, fame, and huge profits. However, from the inside, it is clear the industry is suffering. An industry worth $3 Billion (USD), the fashion industry is characterized by products with a short shelf-life, wrong forecasts, low profits, and ever-increasing competition. On the periphery, technology is rapidly invading the fashion industry, with emerging forms such as Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Human-Robot Interface, making their way into this industry in recent years. AI in Fashion Industrydiscusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India. This book studies the relationship between fashion and social media engagement of consumers, before moving on to create a 'conceptual framework of fashion e-forecasting.' The case study addresses the forecasting-based business problem of a family-owned fashion retail business. This book is unique, suggesting a novel method of fashion product development in the light of data-driven intelligence; documenting some of the rapid developments in the field with the onset of technology and addressing some of the fundamental questions that are becoming more relevant in recent years.

Although artificial intelligence (AI) has many potential benefits, it has also been shown to suffer from a number of challenges for successful performance in complex real-world environments such as military operations, including brittleness, perceptual limitations, hidden biases, and lack of a model of causation important for understanding and predicting future events. These limitations mean that AI will remain inadequate for operating on its own in many complex and novel situations for the foreseeable future, and that AI will need to be carefully managed by humans to achieve their desired utility. Human-AI Teaming: State-of-the-Art and Research Needs examines the factors that are relevant to the design and implementation of AI systems with respect to human operations. This report provides an overview of the state of research on human-AI teaming to determine gaps and future research priorities and explores critical human-systems integration issues for achieving optimal performance.

This book will provide a global perspective on AI and the challenges it represents, and will focus on the digital ethics surrounding AI technology.

The emergence of artificial intelligence (AI) in health care offers unprecedented opportunities to improve patient and clinical team outcomes, reduce costs, and impact population health. While there have been a number of promising examples of AI applications in health care, it is imperative to proceed with caution or risk the potential of user disillusionment, another AI winter, or further exacerbation of existing health- and technology-driven disparities. This Special Publication synthesizes current knowledge to offer a reference document for relevant health care stakeholders. It outlines the current and near-term AI solutions; highlights the challenges, limitations, and best practices for AI development, adoption, and maintenance; offers an overview of the legal and regulatory landscape for AI tools designed for health care application; prioritizes the need for equity, inclusion, and a human rights lens for this work; and outlines key considerations for moving forward. AI is poised to make transformative and disruptive advances in health care, but it is prudent to balance the need for thoughtful, inclusive health care AI that plans for and actively manages and reduces potential unintended consequences, while not yielding to marketing hype and profit motives.

Survive and thrive in a world being taken over by robots and other advanced technology. Artificial intelligence, machine learning, algorithms, blockchains, the Internet of Things, big data analytics, 5G networks, self-driving cars, robotics, 3D printing. In the coming years, these technologies, and others to follow, will have a profound and dramatically disruptive impact on how we work and live. Whether we like it or not, we need to develop a good working relationship with these technologies. We need to know how to "dance" with robots. In Dancing with Robots, futurist, entrepreneur, and innovation coach Bill Bishop describes 29 strategies for success in the New Economy. These new strategies represent a bold, exciting, unexpected, and radically different road map for future success. Bishop also explains how our Five Human Superpowers -- embodied pattern recognition, unbridled curiosity, purpose-driven ideation, ethical framing, and metaphoric communication -- give us a competitive edge over robots and other advanced technology in a world being taken over by automation and AI.

This book informs the reader about applications of ArtificialIntelligence (AI) and nature-inspired algorithms in different situations. Eachchapter in this book is written by topic experts on AI, nature-inspired algorithmsand data science. Chapters are structured to provide an introduction to the topic, the computational methodology required for experimentation and analysis, and a discussion of results results The basic concepts relevant to these topics are explained, includingevolutionary computing (EC), artificial neural networks (ANN), swarmintelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimizationalgorithms for data analysis. The contents include algorithms that can be used in systems designedfor plant science research, environmental analysis, computer vision andhealthcare. There are a variety of use cases highlighted in the book that demonstrate how computer algorithms can be used to simulate and understand natural phenomena, such as moving object detection, COVID-19 detection, genetic diversity, physiology and much more. Additionally, the contributors provide useful tips specific to some algorithsm such as load balancing techniques and fuzzy PID controls. The goal of the book is to equip the reader - students and data analysts- with the information needed to apply basic AI algorithms to resolve actualproblems encountered in a professional environment.

Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due on advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies. Artificial Intelligence for Smart Cities and Smart Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart solutions for urban and rural environments. This book is divided into three sections to impart a better understanding of the topics to readers. These sections are: 1) Demystifying smart cities and villages: A traditional perspective, 2) Smart innovations for rural lifestyle management solutions, and 3) Case studies. Through this book, readers will be able to understand various advanced technologies that are vital to the development of smart cities and villages. The book presents 15 chapters that present effective solutions to urban and rural challenges. Concepts highlighted in chapters include smart farms, indoor object classification systems, smart transportation, blockchains for medical information, humanoid robots for rural education, IoT devices for farming, and much more. This book is intended for undergraduate and graduate engineering students across all disciplines, security providers in the IT and related fields, and trainees working for infrastructure management companies. Researchers and consultants at all levels working in the areas of artificial intelligence, machine learning, IoT, blockchain, network security, and cloud computing will also find the contents beneficial in planning projects involving smart environments.

This third edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on deep learning, AI security, and AI programming are included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion disc is provided with resources, applications, and figures from the book. Numerous instructors'resources are available upon adoption. Features:• Includes new chapters on deep learning, AI security, and AI programming • Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations • Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest • Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications • Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises • Includes companion files with resources, simulations, and figures from the book