The rise of artificial intelligence and its countless branches have caused many professional industries to rethink their traditional methods of practice and develop new techniques to keep pace with technological advancement. The continued use of intelligent technologies in the professional world has propelled researchers to contemplate future opportunities and challenges that artificial intelligence may withhold. Significant research is a necessity for understanding future trends of artificial intelligence and the preparation of prospective issues. Analyzing Future Applications of AI, Sensors, and Robotics in Society provides emerging research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. Featuring coverage on a broad range of topics such as neuronal networks, cognitive computing, and e-health, this book is ideally designed for practitioners, researchers, scientists, executives, strategists, policymakers, academicians, government officials, developers, and students seeking current research on future societal uses of intelligent technology.

This book shows how neuromarketing works in practice. It describes how companies can use the methods and insights of neuroscience to make better decisions themselves. It brings together real-world use cases in the area of applied neuroscience, collected from the globally leading consumer neuroscience companies and their clients. The use cases come from a variety of business areas, from advertising research to store design, from finding the right name for a brand to designing a compelling website. The book reveals how clients engage in neuromarketing; the business problems they can encounter, and have encountered, solving with this new approach; and the values they generate.

As global communities are attempting to transform into more efficient and technologically-advanced metropolises, artificial intelligence (AI) has taken a firm grasp on various professional fields. Technology used in these industries is transforming by introducing intelligent techniques including machine learning, cognitive computing, and computer vision. This has raised significant attention among researchers and practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart Technology is a pivotal reference source that provides vital research on the implementation of advanced technological techniques in professional industries through the use of AI. While highlighting topics such as pattern recognition, computational imaging, and machine learning, this publication explores challenges that various fields currently face when applying these technologies and examines the future uses of AI. This book is ideally designed for researchers, developers, managers, academicians, analysts, students, and practitioners seeking current research on the involvement of AI in professional practices.

Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

There are essential questions surrounding Africa's digitalization journey, including whether or not the continent can truly serve as the last frontier for socio-economic transformation through digital innovation. An examination of countries such as Ghana, Kenya, Senegal, and Rwanda, which are actively pursuing digitalization, may provide some answers. To evaluate the potential implications, both real and potential, that arise from this focused pursuit, a critical analysis is necessary. Scrutiny of digital infrastructure by companies like Huawei, the emergence of artificial intelligence, and the advent of quantum computing will open new pathways to understanding and establishing promising approaches to the advancement of this region. Examining the Rapid Advance of Digital Technology in Africa offers a comprehensive exploration of the transformative power of digitalization in Africa and its implications for the continent's socio-economic development. It engages with the field of science and technology studies, linking it with socio-economic impacts and transformation, to track, analyze, understand, and critique Africa's contributions to digitalization. The chapters cover a wide range of themes, including ICTs and the business environment, education, healthcare, creative industries, media, culture, tourism, agriculture, ecology, artificial intelligence, blockchain and cryptocurrency revolution, algorithmic governance, the quantum age, and urbanization. This book is a must-read for researchers, scholars, investors, and policymakers who are interested in Africa's digital transformation, as it offers valuable insights into the latest empirical and theoretical aspects shaping the continent's ongoing digitalization.

This book provides scientific and technological insights on novel techniques of design and manufacturing using laser technologies. It showcases applications of laser micromachining in the biomedical industry, laser-based manufacturing processes in aerospace engineering, and high-precision laser-cutting in the home appliance sector. Features: Each chapter discusses a specific engineering problem and showcases its numerical, and experimental solution Provides scientific and technological insights on novel routes of design and manufacturing using laser technologies Synergizes exploration related to the various properties and functionalities through extensive theoretical and numerical modeling Highlights current issues, developments, and constraints in additive manufacturing Discusses applications of laser cutting machines in the manufacturing industry and laser micromachining for the biomedical industry The text discusses optical, and laser-based green manufacturing technologies and their application in diverse engineering fields including mechanical, electrical, biomedical, and computer. It further covers sustainability issues in laser-based manufacturing technologies and the development of laser-based ultra-precision manufacturing techniques. The text also discusses the use of artificial intelligence and machine learning in laser-based manufacturing techniques. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in fields including mechanical engineering, aerospace engineering, manufacturing engineering, and production engineering.

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

This book is concerned with the importance of Human Computer Interaction (HCI), Usability, user participants, and Sustainability in the Information Communication Technology (ICT) industry throughout the world. ICTs have become a crucial instrument for communication, entertainment, commerce and research and this increased usage is presenting new environmental and sustainability issues as we try and meet the ever-growing needs of both businesses and individuals. Sustainability and sustainable design must become central to the design of new technologies to make a concerted effort to tackle the environmental concerns we face now and in the future. Development frameworks, tools and models are used and explored, and the New Participative Methodology for Sustainable Design (NPMSD) is introduced as a way of identifying key factors needed in developing more sustainable systems including new smart technology and portable devices. In this book, the sustainable step in the design stage is evaluated and assessed by 11 countries: namely, Australia, Brazil, China, Germany, India, Norway, Singapore, South Korea, Sweden, UK, and USA. The new results are generated confirming that sustainable design awareness should be considered by designers, and users to minimize and reduce the carbon emissions, raw materials usage, and global warming, since these problems should be tackled soon, otherwise, it will be too late to solve it. Further research is needed in the future to implement and assess the sustainable design step with large IT companies to ensure compliance with environmental standards and rules for sustainable systems. Sustainable Design is an invaluable resource for students and researchers, designers and business managers who are interested in the human-centered, environmental concerns of sustainable technologies.

This visionary new book explores the critical issues that link transhumanism with digitalisation, gene technologies and ethics.