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Kousalya C: Sensors in Medical
Applications

Sensors in Medical Applications

Noninvasive Diagnosis and Digital Insole

Wiley Series in Display Technology

Comprehensive and in-depth overview of the fundamental principles of virtual and augmented reality technologies and their key applications Virtual and Augmented Reality presents a treatment of the hot topics of VR and AR technologies, including the advances in 3D motion tracking and semantic scene understanding with artificial intelligence based on deep neural networks, to provide advanced coverage of the fundamental principles of these two subjects, as well as serve as a reference text for both academia and industry practitioners. The book includes necessary derivations, starting from the fundamentals, and builds up step-by-step to more advanced concepts, such as 3D graphics and computer vision techniques, all the way to overall systems architectures and applications. The book also covers historical perspectives, highlighting the seminal developments along the way, as well as look ahead to the future applications beyond the current state-of-the-art commercial deployments to depict the impact that these technologies can make on society in the years and decades to come, in industries including gaming and entertainment, immersive media, medical and health, interactive education, training and simulations, virtual tourism, and e-commerce. Written by an award-winning specialist in the area, Virtual and Augmented Reality includes information on: Details of the system-level requirements from psychophysical and human-factors considerations and the advances in 3D motion tracking with visual-inertial sensing techniquesPerceptual computing with 3D graphics processing and rendering methods, spatial-light modulation and display technologies, and 3D audio and immersive sound technologies Human inputs and interactions, semantic scene understanding with artificial intelligence based on deep neural networks, and end-to-end system architecturesState-of-the-art and emerging applications towards achieving life-like immersive and interactive experiencesVirtual and Augmented Reality is a highly valuable multi-purpose book that can be used as a text by instructors for undergraduate and graduate courses intended to teach the principles and applications of virtual and augmented reality, as well as a reference volume for the researchers and practitioners in the field.

Fundamentals and Applications

Virtual and Augmented Reality

Evolution and Applications of Quantum Computing

Tactile Internet for a Human-Centred Metaverse is a groundbreaking, comprehensive guide to this innovative communication platform that merges the physical and digital worlds, transforming how we experience the Metaverse and interact with robots and other cyber-physical systems. From exploring real-world applications in healthcare, industry, education, and beyond, to delving into the cutting-edge components, sensors, and communication systems that underpin this transformation, this book offers a multidisciplinary view of the Tactile Internet revolution. This is an essential read for academic researchers, students, industry professionals, and R&amp;D engineers seeking a comprehensive, up-to-date, and forward looking approach to understanding the Tactile Internet’s intersection with the Metaverse, together with its far reaching implications.

Tactile Internet for a Human-Centred Metaverse

A comprehensive introduction to the fundamentals of prompt engineering with ChatGPT Hands-On Prompt Engineering: Learning to Program ChatGPT Using OpenAI APIs is a practical and essential resource for any professional looking to implement AI in their business. This book teaches you the basics of prompt engineering, which lets you program ChatGPT to perform tasks. It focuses on business applications of AI and walks you through the process of implementing techniques and algorithms using available software tools. You'll also learn the approaches and best practices that have led to success for leaders in this area. Prompt engineering differs from the process of coding traditional queries in a few key ways. With prompt engineering, task descriptions are formulated as questions, so the description of the task is embedded in the input given to the AI. Additionally, some language models can be trained to complete tasks using information contained in the prompts (prompt-based learning). Hands-On Prompt Engineering teaches you to work with these and pretrained models using Python code. Learn what types of AI language model tasks can be productively automated through prompt engineeringUse Python to program OpenAI's ChatGPT3 and add business valueDiscover the best practices and proven techniques in the emerging field of prompt engineeringGet hands-on guidance for optimizing the output you receive from ChatGPT and other AI models Hands-On Prompt Engineering is an essential resource for software engineers, MLOps engineers, data scientists, and other business professionals interested in utilizing AI and natural language processing with prompt engineering.

A comprehensive introduction to the fundamentals of prompt engineering with ChatGPT

Hands-On Prompt Engineering: Learning to Program ChatGPT Using OpenAI APIs is a practical and essential resource for any professional looking to implement AI in their business. This book teaches you the basics of prompt engineering, which lets you program ChatGPT to perform tasks. It focuses on business applications of AI and walks you through the process of implementing techniques and algorithms using available software tools. You'll also learn the approaches and best practices that have led to success for leaders in this area.

Prompt engineering differs from the process of coding traditional queries in a few key ways. With prompt engineering, task descriptions are formulated as questions, so the description of the task is embedded in the input given to the AI. Additionally, some language models can be trained to complete tasks using information contained in the prompts (prompt-based learning). Hands-On Prompt Engineering teaches you to work with these and pretrained models using Python code.
* Learn what types of AI language model tasks can be productively automated through prompt engineering
* Use Python to program OpenAI's ChatGPT3 and add business value
* Discover the best practices and proven techniques in the emerging field of prompt engineering
* Get hands-on guidance for optimizing the output you receive from ChatGPT and other AI models

Hands-On Prompt Engineering is an essential resource for software engineers, MLOps engineers, data scientists, and other business professionals interested in utilizing AI and natural language processing with prompt engineering.

Learning to Program ChatGPT Using OpenAI APIs

Hands-On Prompt Engineering

How to develop robots that will be more like humans and less like computers, more social than machine-like, and more playful and less programmed. Most robots are not very friendly. They vacuum the rug, mow the lawn, dispose of bombs, even perform surgery—but they aren't good conversationalists. It's difficult to make eye contact. If the future promises more human-robot collaboration in both work and play, wouldn't it be better if the robots were less mechanical and more social? In How to Grow a Robot, Mark Lee explores how robots can be more human-like, friendly, and engaging. Developments in artificial intelligence—notably Deep Learning—are widely seen as the foundation on which our robot future will be built. These advances have already brought us self-driving cars and chess match–winning algorithms. But, Lee writes, we need robots that are perceptive, animated, and responsive—more like humans and less like computers, more social than machine-like, and more playful and less programmed. The way to achieve this, he argues, is to “grow” a robot so that it learns from experience—just as infants do. After describing “what's wrong with artificial intelligence” (one key shortcoming: it's not embodied), Lee presents a different approach to building human-like robots: developmental robotics, inspired by developmental psychology and its accounts of early infant behavior. He describes his own experiments with the iCub humanoid robot and its development from newborn helplessness to ability levels equal to a nine-month-old, explaining how the iCub learns from its own experiences. AI robots are designed to know humans as objects; developmental robots will learn empathy. Developmental robots, with an internal model of “self,” will be better interactive partners with humans. That is the kind of future technology we should work toward.

How to develop robots that will be more like humans and less like computers, more social than machine-like, and more playful and less programmed. Most robots are not very friendly. They vacuum the rug, mow the lawn, dispose of bombs, even perform surgery—but they aren't good conversationalists. It's difficult to make eye contact. If the future promises more human-robot collaboration in both work and play, wouldn't it be better if the robots were less mechanical and more social? In How to Grow a Robot, Mark Lee explores how robots can be more human-like, friendly, and engaging. Developments in artificial intelligence—notably Deep Learning—are widely seen as the foundation on which our robot future will be built. These advances have already brought us self-driving cars and chess match–winning algorithms. But, Lee writes, we need robots that are perceptive, animated, and responsive—more like humans and less like computers, more social than machine-like, and more playful and less programmed. The way to achieve this, he argues, is to “grow” a robot so that it learns from experience—just as infants do. After describing “what's wrong with artificial intelligence” (one key shortcoming: it's not embodied), Lee presents a different approach to building human-like robots: developmental robotics, inspired by developmental psychology and its accounts of early infant behavior. He describes his own experiments with the iCub humanoid robot and its development from newborn helplessness to ability levels equal to a nine-month-old, explaining how the iCub learns from its own experiences. AI robots are designed to know humans as objects; developmental robots will learn empathy. Developmental robots, with an internal model of “self,” will be better interactive partners with humans. That is the kind of future technology we should work toward.

Developing Human-Friendly, Social AI

How to Grow a Robot

Authoritative and comprehensive guide illustrating best practices for designing and building resilient and sustainable smart cities Digital Twins evaluates smart city case studies and insights from the 100 IEEE IoT Global Cities Alliance (GCA) and describes best practices and standards for designing secure architecture using IoT, IoP, and AI. Showcasing success stories while also examining common issues from smart city projects around the world, this guide unpacks lessons learned and identifies where to further integrate standards into city frameworks and processes. Featuring chapters on water, food, energy, mobility, health, waste, education, economies, and work, the environment, social wellbeing, ethics, security, and privacy, the text demonstrates the impact of smart cities on our daily lives. The authors describe the sustainable needs for our next generation and identify the challenges and changes needed to implement smart cities. Readers will learn about Smart City Digital Twins (SCDT), and international Urban Twins (UT), based on architecture, building information modeling (BIM), and big data, which support municipalities to digitally simulate 3D models and create scenarios to test strategies and plans for urban planning, mobility, and disaster management. Other topics covered in Digital Twins include: <ul> <li>Models and open data pertaining to smart city governance, and standard requirements for architectures to integrate IoT solutions in Smart Cities</li> <li>Factors and best practices for different global regions when implementing IoT Solutions and future trends and challenges as areas of opportunity</li> <li>Key discussion points to keep in mind on the digital transformations of cities, such as problem solving in relation to city similarities and differences</li> <li>Snapshots of five cities, covering their approach to becoming a sustainable smart city and undertaking their respective digital transformations</li></ul>Representing the latest developments and future trends of IoT and smart connectivity, Digital Twins is an ideal resource for municipalities and practitioners within the field of smart cities as well as those working more broadly on sustainability and technology who wish to learn about a wealth of topics intersecting with smart cities.

Digital Twins: Making Sense of Smart Cities

Cognitive Futures

The Hard Question of Art

Digital Geographies

Purposeful Use of the Internet and Technologies

Global Digital Divides in the COVID-19 Era

Measuring the Colour and Appearance of Human Skin, Teeth and Hair

Corporate Power in the Age of AI and the Cloud

The Rulers

Unlock the full potential of generative AI for your business-an indispensable read for every modern leader looking to integrate generative AI in their organization In Generative AI: The Essential Guide for Business Leaders, celebrated AI researcher, strategist and industry executive Matthew D. White delivers an up-to-date and insightful new perspective of how business leaders should integrate generative AI into their own organizations. In the book, you'll learn about the basics of generative algorithms, explore the opportunities and risks presented by the new technology made famous by OpenAI's powerful ChatGPT - and learn how to improve your organization's products, services, operations, and strategies while limiting bias and harms. The author describes a complete framework for the adoption of generative AI inside your organization, as well as specific strategies to avoid the most common mistakes and pitfalls made by companies as they navigate these largely uncharted waters. You'll also find: <ul> <li>Demystifying Generative AI: Comprehensive, jargon-free explanations to help you understand the core concepts of generative AI</li> <li>Real-world Applications: Applications and methods you can apply to your own company's products and services to harness the potential of generative AI</li> <li>Strategic Insights: Planning considerations that will prove crucial to the success or failure of your new generative AI adoption strategy</li> <li>Adoption Frameworks: Concrete, step-by-step methodologies for streamlining your processes, increasing productivity, creating new and exciting products, and improving your bottom-line</li> <li>Risk Assessment: Practical advice on evaluating the ethical and operational risks of generative AI and how to mitigate them</li> <li>The Future: Insightful view of what is to come in the field of generative AI along with a discussion on the most pressing social, economic and legal issues</li></ul> An exciting road map to the commercial potential of generative AI for managers, directors, executives, and other business leaders, Generative AI will also be a hit with policymakers, regulators, compliance specialists, and technical professionals interested in the future of commerce and tech.

The Essential Guide for Business Leaders

Generative AI for Business

This practical introduction to the field focuses on the design, architecture, and operation of technologies based on organic compounds and conjugating molecules. It shows the reader how material structure relates to semiconducting properties, and then explores in detail the electronic devices that harness their unique properties. The author also extends the discussion to printed electronics, covering large-area, low-cost film deposition, patterning, processing, and encapsulation. The reader will gain a deep understanding of how the devices work and how the applications are designed and operate.

This practical introduction to the field focuses on the design, architecture, and operation of technologies based on organic compounds and conjugating molecules. It shows the reader how material structure relates to semiconducting properties, and then explores in detail the electronic devices that harness their unique properties. The author also extends the discussion to printed electronics, covering large-area, low-cost film deposition, patterning, processing, and encapsulation. The reader will gain a deep understanding of how the devices work and how the applications are designed and operate.

Science, Technology, Devices and Applications

Organic and Hybrid Electronics

Sensors in Medical Applications

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