Artificial Intelligence and Machine Learning
The two-volume proceedings set CCIS 2299 and 2300, constitutes the refereed proceedings of the 43rd IBIMA Conference on Artificial intelligence and Machine Learning, IBIMA-AI 2024, held in Madrid, Spain, in June 26-27, 2024. The 44 full papers and 18 short papers included in this book were carefully reviewed and selected from 119 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence and Machine Learning; Information Systems and Communications Technologies. Part II: Artificial Intelligence and Machine Learning; Software Engineering; Computer Security and Privacy.
The Essential Book of AI
Explore the impact and potential of AI technologies in this full-color hardback guide, written by award-winning science author Anne Rooney. Artificial intelligence is one of the most significant technological developments of recent times, with the possibility to reshape society as we know it. In this engaging volume, the author explains the cutting-edge science behind artificial intelligence models as well as the philosophical implications in simple and accessible language. Covering subjects such as deep learning, neural networks, large language models, The Essential Book of Artificial Intelligence provides the perfect starting point for anyone interested in the subject. - Illustrated with full-color images and diagrams throughout- Split into 12 easy-to-understand chapters which can be read in a single sitting- This beautiful gold-embossed hardback make the perfect gift for the intellectually curious ABOUT THE SERIES: Concepts is a series of titles diving into some of the most compelling subjects in modern science. Written by a variety of experts, these beautifully illustrated foil-stamped hardbacks provide a perfect starting point to a range of fascinating topics.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 17-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 17-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 17-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Intelligent Systems
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Bel矇m do Par獺, Brazil, during November 18-21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
Sensor Networks for Smart Hospitals
Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access. Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency.
Advanced Sensors for Smart Healthcare
Advanced Sensors for Smart Healthcare provides an invaluable resource for researchers and healthcare practitioners who are eager to use technology to improve the lives of patients. Sections highlight data from sensor networks via the smart hospital framework, including data, insights, and access. This book shows how the use of sensors to gather data on a patient's condition and the environment their care takes place in can allow healthcare professionals to monitor well-being and make informed decisions about treatment.
Imperfect Oracle
Best-selling author Cass R. Sunstein outlines the promise and limits of artificial intelligence Imperfect Oracle is about the promise and limits of artificial intelligence. The promise is that in important ways AI is better than we are at making judgments. Its limits are evidenced by the fact that AI cannot always make accurate predictions--not today, not tomorrow, and not the day after, either. Natural intelligence is a marvel, but human beings blunder because we are biased. We are biased in the sense that our judgments tend to go systematically wrong in predictable ways, like a scale that always shows people as heavier than they are, or like an archer who always misses the target to the right. Biases can lead us to buy products that do us no good or to make foolish investments. They can lead us to run unreasonable risks, and to refuse to run reasonable risks. They can shorten our lives. They can make us miserable. Biases present one kind of problem; noise is another. People are noisy not in the sense that we are loud, though we might be, but in the sense that our judgments show unwanted variability. On Monday, we might make a very different judgment from the judgment we make on Friday. When we are sad, we might make a different judgment from the one we would make when we are happy. Bias and noise can produce exceedingly serious mistakes. AI promises to avoid both bias and noise. For institutions that want to avoid mistakes it is now a great boon. AI will also help investors who want to make money and consumers who don't want to buy products that they will end up hating. Still, the world is full of surprises, and AI cannot spoil those surprises because some of the most important forms of knowledge involve an appreciation of what we cannot know and why we cannot know it. Written in clear, jargon-free English and grounded in deep understanding, Imperfect Oracle provides a distinctly useful perspective on this complex debate.
Microsoft Copilot for Dummies
Straightforward guidance on the AI tool that's built into Windows, Microsoft 365, and more Microsoft is enhancing all its most widely used productivity software--including Windows and apps like Word and Excel--with the power of AI. And now you can learn to make the most of this revolutionary new tool with Microsoft Copilot For Dummies! You'll discover how to write Copilot-friendly prompts, enhance output with integrated Copilot tools, and how to apply Copilot functions to project management and other specific tasks and disciplines. In the book, you'll find out how to: Use text or your voice to prompt reliable results from Microsoft Copilot Customize Microsoft Copilot to respond to your unique needs and demands Add plug-ins to the Microsoft Copilot service to extend its functionality even more Learn to supercharge your efficiency with Microsoft Copilot For Dummies. This book is perfect for professional and home users of Windows, Microsoft 365, and other Microsoft products and software who want to increase their productivity. Grab a copy today!
Proceedings of 5th International Ethical Hacking Conference
Optimization and Data Science in Industrial Engineering
This two-volume set CCIS 2204 and 2205 constitutes the refereed proceedings of the First International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2023, held in Istanbul, Turkey, during November 16-17, 2023. The 33 full papers and 2 short papers presented in these proceedings were carefully reviewed and selected from 311 submissions. The papers were organized in the following topical sections: Part I: smart and intelligent transportation systems; machine/deep/reinforcement learning in industries; and advances of artificial intelligence/operational research tools in healthcare. Part II: technology, learning and analytics in intelligent systems; expert systems, decision analysis, and advanced optimization; digital transformation of supply chain and logistics systems.
Optimization and Learning
This book constitutes the refereed proceedings of the 7th International Conference on Optimization and Learning, OLA 2024, held in Dubrovnik, Croatia, during May 13-15, 2024. The 24 full papers presented here were carefully reviewed and selected from 64 submissions. They were organized in the following topical sections: synergies between optimization and machine learning; enhancing optimization and learning techniques; transportation and routing; and applications.
Optimization and Data Science in Industrial Engineering
This two-volume set CCIS 2204 and 2205 constitutes the refereed proceedings of the First International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2023, held in Istanbul, Turkey, during November 16-17, 2023. The 33 full papers and 2 short papers presented in these proceedings were carefully reviewed and selected from 311 submissions. The papers were organized in the following topical sections: Part I: smart and intelligent transportation systems; machine/deep/reinforcement learning in industries; and advances of artificial intelligence/operational research tools in healthcare. Part II: technology, learning and analytics in intelligent systems; expert systems, decision analysis, and advanced optimization; digital transformation of supply chain and logistics systems.
Strategic Writing for UX
When you depend on users to perform specific actions--like buying tickets, playing a game, or riding public transit--well-placed words are most effective. But how do you choose the right words? And how do you know if they work? With this practical book, you'll learn how to write strategically for UX, using tools to build foundational pieces for UI text and UX voice strategy. This second edition by Torrey Podmajersky is an essential resource, thoroughly updated to incorporate the latest in collaborative tools and considerations for AI-generated UX content. It reflects significant advancements in the field of content design, updating every chapter with the latest UX methods and styles. Understand the integration of UX content with the software development lifecycle Learn content-first design to anchor UX text in meaningful dialogue Apply UX text patterns effectively across varied brand voices Enhance product usability and conversion with strategic UI text applications Clearly articulate the business value of dedicated UX content efforts
Machine Learning in African Markets
Machine Learning in African Markets: A Journey into Innovation and OpportunityDiscover how machine learning is transforming Africa in this groundbreaking book that explores the intersection of cutting-edge technology and the continent's untapped potential. As Africa embraces the digital age, Machine Learning in African Markets sheds light on how this transformative technology is solving pressing challenges and driving growth across industries like agriculture, healthcare, finance, and energy.Packed with real-world examples and success stories, this book reveals how African companies and organizations are using machine learning to optimize farming, expand access to healthcare, extend financial inclusion, and harness renewable energy. From enabling smallholder farmers to boost crop yields to improving disease diagnosis in remote areas, machine learning is paving the way for innovative, life-changing solutions.But it's not all smooth sailing. The book also addresses the challenges unique to African markets, including data infrastructure limitations, skill shortages, and the need for inclusive and ethical development. With thoughtful analysis and forward-looking insights, it highlights the path ahead for Africa to maximize the potential of machine learning and take a leading role in the global AI revolution.Whether you're a business leader, policymaker, innovator, or tech enthusiast, Machine Learning in African Markets is an essential guide to understanding how this powerful technology can unlock Africa's future.Key Takeaways: Explore real-world applications of machine learning across key African industries.Learn about the opportunities and challenges of implementing machine learning in emerging markets.Understand the role of education, infrastructure, and regulation in shaping Africa's AI future.Be inspired by success stories and actionable insights for leveraging machine learning to drive impact.Machine Learning in African Markets is a must-read for anyone interested in the transformative power of technology and its potential to create a brighter future for Africa and the world.
Intelligent Robotics and Applications
The 10-volume set LNAI 15201-15210 constitutes the proceedings of the 17th International Conference on Intelligent Robotics and Applications, ICIRA 2024, which took place in Xi'an, China, during July 31-August 2, 2024. The 321 full papers included in these proceedings were carefully reviewed and selected from 489 submissions. They were organized in topical sections as follows: Part I: Innovative Design and Performance Evaluation of Robot Mechanisms. Part II: Robot Perception and Machine Learning; Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems. Part III: Emerging Techniques for Intelligent Robots in Unstructured Environment; Soft Actuators and Sensors; and Advanced Intelligent and Flexible Sensor Technologies for Robotics. Part IV: Optimization and Intelligent Control of Underactuated Robotic Systems; and Technology and application of modular robots. Part V: Advanced actuation and intelligent control in medical robotics: Advancements in Machine Vision for Enhancing Human-Robot Interaction; and Hybrid Decision-making and Control for Intelligent Robots. Part VI: Advances in Marine Robotics; Visual, Linguistic, Affective Agents: Hybrid-augmented Agents for Robotics; and Wearable Robots for Assistance, Augmentation and Rehabilitation of human movements. Part VII: Integrating World Models for Enhanced Robotic Autonomy; Advanced Sensing and Control Technologies for Intelligent Human-Robot Interaction; and Mini-Invasive Robotics for In-Situ Manipulation. Part VIII: Robot Skill Learning and Transfer; Human-Robot Dynamic System: Learning, Modelling and Control; AI-Driven Smart Industrial Systems; and Natural Interaction and Coordinated Collaboration of Robots in Dynamic Unstructured Environments. Part IX: Robotics in Cooperative Manipulation, MultiSensor Fusion, and Multi-Robot Systems; Human-machine Co-adaptive Interface; Brain inspired intelligence for robotics; Planning, control and application of bionic novel concept robots; and Robust Perception for Safe Driving. Part X: AI Robot Technology for Healthcare as a Service; Computational Neuroscience and Cognitive Models for Adaptive Human-Robot Interactions; Dynamics and Perception of Human-Robot Hybrid Systems; and Robotics for Rehabilitation: Innovations, Challenges, and Future Directions.
Aviation Safety and Security
The book focuses on ways to better manage and prevent aircraft-based homicide events using alternate technology to replace the Cockpit Voice Recorder (CVR) and/or Digital Flight Data Recorder (DFDR) functions. It expresses the need for real-time predictive maintenance and includes relevant accident case study excerpts (i.e. NTSB, AAIB).
Games and Learning Alliance
This volume LNCS constitutes the refereed proceedings of the 13th International Conference on Games and Learning Alliance, GALA 2024, held in Berlin, Germany during November 20-22, 2024. The 30 full papers and 15 short papers were carefully reviewed and selected from 103 submissions. They focus on Designing for Engagement;​​​​​​, Sustainability and Environmental Literacy in Serious Games; Detecting Deception and Developing Leadership; Futures Literacy; Serious Games for Health and Immersive Learning.
Intelligent Robotics and Applications
The 10-volume set LNAI 15201-15210 constitutes the proceedings of the 17th International Conference on Intelligent Robotics and Applications, ICIRA 2024, which took place in Xi'an, China, during July 31-August 2, 2024. The 321 full papers included in these proceedings were carefully reviewed and selected from 489 submissions. They were organized in topical sections as follows: Part I: Innovative Design and Performance Evaluation of Robot Mechanisms. Part II: Robot Perception and Machine Learning; Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems. Part III: Emerging Techniques for Intelligent Robots in Unstructured Environment; Soft Actuators and Sensors; and Advanced Intelligent and Flexible Sensor Technologies for Robotics. Part IV: Optimization and Intelligent Control of Underactuated Robotic Systems; and Technology and application of modular robots. Part V: Advanced actuation and intelligent control in medical robotics: Advancements in Machine Vision for Enhancing Human-Robot Interaction; and Hybrid Decision-making and Control for Intelligent Robots. Part VI: Advances in Marine Robotics; Visual, Linguistic, Affective Agents: Hybrid-augmented Agents for Robotics; and Wearable Robots for Assistance, Augmentation and Rehabilitation of human movements. Part VII: Integrating World Models for Enhanced Robotic Autonomy; Advanced Sensing and Control Technologies for Intelligent Human-Robot Interaction; and Mini-Invasive Robotics for In-Situ Manipulation. Part VIII: Robot Skill Learning and Transfer; Human-Robot Dynamic System: Learning, Modelling and Control; AI-Driven Smart Industrial Systems; and Natural Interaction and Coordinated Collaboration of Robots in Dynamic Unstructured Environments. Part IX: Robotics in Cooperative Manipulation, MultiSensor Fusion, and Multi-Robot Systems; Human-machine Co-adaptive Interface; Brain inspired intelligence for robotics; Planning, control and application of bionic novel concept robots; and Robust Perception for Safe Driving. Part X: AI Robot Technology for Healthcare as a Service; Computational Neuroscience and Cognitive Models for Adaptive Human-Robot Interactions; Dynamics and Perception of Human-Robot Hybrid Systems; and Robotics for Rehabilitation: Innovations, Challenges, and Future Directions.
Intelligent Robotics and Applications
The 10-volume set LNAI 15201-15210 constitutes the proceedings of the 17th International Conference on Intelligent Robotics and Applications, ICIRA 2024, which took place in Xi'an, China, during July 31-August 2, 2024. The 321 full papers included in these proceedings were carefully reviewed and selected from 489 submissions. They were organized in topical sections as follows: Part I: Innovative Design and Performance Evaluation of Robot Mechanisms. Part II: Robot Perception and Machine Learning; Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems. Part III: Emerging Techniques for Intelligent Robots in Unstructured Environment; Soft Actuators and Sensors; and Advanced Intelligent and Flexible Sensor Technologies for Robotics. Part IV: Optimization and Intelligent Control of Underactuated Robotic Systems; and Technology and application of modular robots. Part V: Advanced actuation and intelligent control in medical robotics: Advancements in Machine Vision for Enhancing Human-Robot Interaction; and Hybrid Decision-making and Control for Intelligent Robots. Part VI: Advances in Marine Robotics; Visual, Linguistic, Affective Agents: Hybrid-augmented Agents for Robotics; and Wearable Robots for Assistance, Augmentation and Rehabilitation of human movements. Part VII: Integrating World Models for Enhanced Robotic Autonomy; Advanced Sensing and Control Technologies for Intelligent Human-Robot Interaction; and Mini-Invasive Robotics for In-Situ Manipulation. Part VIII: Robot Skill Learning and Transfer; Human-Robot Dynamic System: Learning, Modelling and Control; AI-Driven Smart Industrial Systems; and Natural Interaction and Coordinated Collaboration of Robots in Dynamic Unstructured Environments. Part IX: Robotics in Cooperative Manipulation, MultiSensor Fusion, and Multi-Robot Systems; Human-machine Co-adaptive Interface; Brain inspired intelligence for robotics; Planning, control and application of bionic novel concept robots; and Robust Perception for Safe Driving. Part X: AI Robot Technology for Healthcare as a Service; Computational Neuroscience and Cognitive Models for Adaptive Human-Robot Interactions; Dynamics and Perception of Human-Robot Hybrid Systems; and Robotics for Rehabilitation: Innovations, Challenges, and Future Directions.
Intelligent Robotics and Applications
The 10-volume set LNAI 15201-15210 constitutes the proceedings of the 17th International Conference on Intelligent Robotics and Applications, ICIRA 2024, which took place in Xi'an, China, during July 31-August 2, 2024. The 321 full papers included in these proceedings were carefully reviewed and selected from 489 submissions. They were organized in topical sections as follows: Part I: Innovative Design and Performance Evaluation of Robot Mechanisms. Part II: Robot Perception and Machine Learning; Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems. Part III: Emerging Techniques for Intelligent Robots in Unstructured Environment; Soft Actuators and Sensors; and Advanced Intelligent and Flexible Sensor Technologies for Robotics. Part IV: Optimization and Intelligent Control of Underactuated Robotic Systems; and Technology and application of modular robots. Part V: Advanced actuation and intelligent control in medical robotics: Advancements in Machine Vision for Enhancing Human-Robot Interaction; and Hybrid Decision-making and Control for Intelligent Robots. Part VI: Advances in Marine Robotics; Visual, Linguistic, Affective Agents: Hybrid-augmented Agents for Robotics; and Wearable Robots for Assistance, Augmentation and Rehabilitation of human movements. Part VII: Integrating World Models for Enhanced Robotic Autonomy; Advanced Sensing and Control Technologies for Intelligent Human-Robot Interaction; and Mini-Invasive Robotics for In-Situ Manipulation. Part VIII: Robot Skill Learning and Transfer; Human-Robot Dynamic System: Learning, Modelling and Control; AI-Driven Smart Industrial Systems; and Natural Interaction and Coordinated Collaboration of Robots in Dynamic Unstructured Environments. Part IX: Robotics in Cooperative Manipulation, MultiSensor Fusion, and Multi-Robot Systems; Human-machine Co-adaptive Interface; Brain inspired intelligence for robotics; Planning, control and application of bionic novel concept robots; and Robust Perception for Safe Driving. Part X: AI Robot Technology for Healthcare as a Service; Computational Neuroscience and Cognitive Models for Adaptive Human-Robot Interactions; Dynamics and Perception of Human-Robot Hybrid Systems; and Robotics for Rehabilitation: Innovations, Challenges, and Future Directions.
Intelligent Robotics and Applications
The 10-volume set LNAI 15201-15210 constitutes the proceedings of the 17th International Conference on Intelligent Robotics and Applications, ICIRA 2024, which took place in Xi'an, China, during July 31-August 2, 2024. The 321 full papers included in these proceedings were carefully reviewed and selected from 489 submissions. They were organized in topical sections as follows: Part I: Innovative Design and Performance Evaluation of Robot Mechanisms. Part II: Robot Perception and Machine Learning; Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems. Part III: Emerging Techniques for Intelligent Robots in Unstructured Environment; Soft Actuators and Sensors; and Advanced Intelligent and Flexible Sensor Technologies for Robotics. Part IV: Optimization and Intelligent Control of Underactuated Robotic Systems; and Technology and application of modular robots. Part V: Advanced actuation and intelligent control in medical robotics: Advancements in Machine Vision for Enhancing Human-Robot Interaction; and Hybrid Decision-making and Control for Intelligent Robots. Part VI: Advances in Marine Robotics; Visual, Linguistic, Affective Agents: Hybrid-augmented Agents for Robotics; and Wearable Robots for Assistance, Augmentation and Rehabilitation of human movements. Part VII: Integrating World Models for Enhanced Robotic Autonomy; Advanced Sensing and Control Technologies for Intelligent Human-Robot Interaction; and Mini-Invasive Robotics for In-Situ Manipulation. Part VIII: Robot Skill Learning and Transfer; Human-Robot Dynamic System: Learning, Modelling and Control; AI-Driven Smart Industrial Systems; and Natural Interaction and Coordinated Collaboration of Robots in Dynamic Unstructured Environments. Part IX: Robotics in Cooperative Manipulation, MultiSensor Fusion, and Multi-Robot Systems; Human-machine Co-adaptive Interface; Brain inspired intelligence for robotics; Planning, control and application of bionic novel concept robots; and Robust Perception for Safe Driving. Part X: AI Robot Technology for Healthcare as a Service; Computational Neuroscience and Cognitive Models for Adaptive Human-Robot Interactions; Dynamics and Perception of Human-Robot Hybrid Systems; and Robotics for Rehabilitation: Innovations, Challenges, and Future Directions.
Sport and Video Games
This book explores the complex relationships between sport and video games, two of the largest entertainment sectors globally. Focusing on those games that depict real-life sports and athletic competitions, the book examines how sport has influenced gaming, and vice versa, and how this relationship is likely to develop in the future.
Innovating with Augmented Reality
By simulating novel and commonplace situations, augmented reality (AR) is stimulating innovation in a broad range of sectors. This book presents innovative AR applications in education and industry. Filled with case studies of applications, the book also looks at development platforms.
Artificial Intelligence Theory, Models, and Applications
This book covers advances that have emerged over the last two decades of AI research. Examining both theoretical and practical aspects, it presents applications of AI in such various domains as policy management, medical imaging, agriculture, technology education, business, and healthcare It also covers machine learning techniques.
Cloud IoT Systems for Smart Agricultural Engineering
The book presents a detailed exploration of adaption and implementation of cloud IoT systems in the field of agriculture. It covers all the aspects of the smart agriculture with state-of-the-art Cloud IoT systems. It is aimed primarily at graduates, researchers and practitioners who are engaged in agriculture engineering.
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
This book equips readers with the knowledge to data analytics, machine learning and deep learning techniques for applications defined under the umbrella of Industry 4.0.
Digital Futures in Human-Computer Interaction
The application of futures thinking in Human-Computer Interaction (HCI) has become increasingly important in recent years. Integrating speculative thinking with future design approaches has allowed HCI researchers to explore the potential impacts of technology on digital society. However, the implementation and application of futures thinking in HCI research is an emerging area. Digital Futures in Human-Computer Interaction: Design Thinking for Digital Transformation fills this gap by systematically analyzing HCI's innovation trends in the digital era.This book explores the dialogue between digital transformation and futures thinking for alternative visions of HCI research. The book highlights significant trends and advancements in futures thinking related to HCI. Case studies illustrate the role of futures thinking, offering readers a broad overview of the subject while detailing the competencies and practices that can lead to successful futures design.This engaging and informative reference will appeal to students, academics, and researchers interested in various design aspects related to HCI. These aspects include service design, sustainable design, product design, space design, visual communication, design education, futures studies, and social innovation.The Open Access version of this book, available at http: //www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.
AI for Humanitarianism
This book explores the transformative potential of Artificial Intelligence (AI) in addressing critical humanitarian challenges. It examines AI's role in enhancing emergency responses, poverty alleviation, and healthcare.
Mastering Computer Vision with PyTorch 2.0
Unleashing the Power of Computer Vision with PyTorch 2.0. Book DescriptionIn an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions. [Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges. Starting with PyTorch's evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on edge devices, and making models production-ready. Explore cutting-edge applications, from object detection models like YOLO and Faster R-CNN to image classification architectures like ResNet and Inception. By the end, readers will be confident in implementing scalable AI solutions, staying ahead in this rapidly evolving field. Whether you're a student, AI enthusiast, or professional, this book empowers you to harness the power of PyTorch 2.0 for Computer Vision. Table of Contents1. Diving into PyTorch 2.02. PyTorch Basics3. Transitioning from PyTorch 1.x to PyTorch 2.04. Venturing into Artificial Neural Networks5. Diving Deep into Convolutional Neural Networks (CNNs)6. Data Augmentation and Preprocessing for Vision Tasks7. Exploring Transfer Learning with PyTorch8. Advanced Image Classification Models9. Object Detection Models10. Tips and Tricks to Improve Model Performance11. Efficient Training with PyTorch Lightning12. Model Deployment and Production-Ready Considerations Index
AI for Life
Demystify the world of artificial intelligence with this groundbreaking guide featuring over 100 innovative ways to incorporate AI into your daily life. Every day, it seems like there's a new AI tool on the market and a new, complicated way to use it. But what if you could use AI to make your life easier without the complications? In AI for Life, AI expert and creator of @SmartWorkAI offers over 100 ideas and ready-to-use prompts to get AI beginners started using the technology to actually improve their lives. Beginning with a primer on the basics--including an overview of the popular and free AI tools--you will learn expert-tested tips and tricks to get the most out of your AI use, such as layering prompts to dive deeper into an initial response or asking for the output in different formats. Packed with practical how-to information, AI for Life is the must-have guide for using generative AI to make life easier, more productive, more organized, and more fun!
Artificial Intelligence Applications in Agriculture and Food Quality Improvement
- Precision Agriculture: Utilize AI for optimized resource management, crop monitoring, and yield prediction.- Crop Health Monitoring: Early detection of diseases and pests through AI-powered image analysis and sensor networks.- Smart Irrigation: AI-driven systems for efficient water management and maximizing crop yield.- Supply Chain Optimization: Predictive analytics for demand forecasting and logistics optimization, reducing food loss.- Quality Control: AI-based technologies ensure adherence to safety standards and detect contaminants in food production.- Consumer Preferences: Analyze vast data for personalized product recommendations and market insights.- Ethical and Regulatory Compliance: Address concerns regarding data privacy, algorithmic bias, and equitable access to technology.
Argo CD and Argo Workflows on Kubernetes
DESCRIPTION Git is a widely used version-control system in software development, essential for managing infrastructure as code (IaC), where code defines infrastructure. Kubernetes enhances IaC with GitOps, using Git as the single source of truth for managing operations. The Argo Family offers cloud-native tools designed to simplify the management of jobs and applications on Kubernetes, seamlessly integrating with the GitOps framework.This book begins with a quick start on setting up Argo Projects in a local cluster, followed by an in-depth look at concepts and architecture. Readers will then explore production readiness, security considerations, and team-specific needs, such as user access with single sign-on, declarative configuration changes, observability, and disaster recovery. Once familiar with a production-ready setup, the book deliberates on integrating Argo Workflow, Argo Events, and Argo Rollouts, highlighting their combined capabilities. Finally, the book compares Argo with alternative tools, helping readers assess and choose the best options for their needs.By the end of the book, readers will have a solid understanding of GitOps fundamentals, Kubernetes integration, and advanced deployment strategies. Covering the entire Argo ecosystem with Argo CD, Argo Workflows, Argo Rollouts, and Argo Events. This guide will help readers utilize the full potential of these powerful tools, transforming how they manage and deliver applications in their organizations.WHAT YOU WILL LEARN● Automate deployment processes with Argo CD. ● Deploy new features and software versions confidently with Rollouts.● Leverage cloud-native workflows to automate daily tasks in familiar Kubernetes environments.● Collaborate seamlessly across teams using Argo Projects' robust capabilities, such as Argo CD Notifications and Argo Events.● Use Argo tools like Argo Rollouts to identify and resolve issues quickly.● Stay up-to-date with the latest DevOps trends and technologies.WHO THIS BOOK IS FORThe target audience for this book includes developers, DevOps engineers, platform engineers, and individuals in leadership roles or senior architects who want to learn about cloud-native technologies and Argo Projects.
Project Management Toolbox
Comprehensive, on-the-go toolkit for professional project managers, updated to reflect the tools necessary for today's predictive, adaptive, hybrid work environment Project Management ToolBox is a go-to reference for on-the-job project managers and advanced students of project management, providing a contemporary set of tools and explaining each tool's purpose and intention, development, customization and variations. Examples, tips, and variations guide readers through the application of these tools. The Third Edition, led by bestselling project management author Cynthia Snyder Dionisio, has been updated to offer a contemporary set of tools to reflect changes in project management learning and practice. This edition includes several new chapters that reflect today's predictive, adaptive, and hybrid work environment. New content includes the project canvas, project roadmap, procurement strategy, risk responses, and more. The book is structured to follow the flow of projects, starting with project selection, project origination, planning, implementation, monitoring, and closure. Within each section there is a wealth of tools, examples, tips, and variations to tailor the use of the tools. Sample topics covered in Project Management ToolBox include: Economic methods, such as payback time, net present value, and internal rate of return. Identifying, analyzing and communicating with project stakeholders. Plans for eliciting, managing, and specifying requirements, along with a matrix to tracing requirements. Work breakdown structures, network diagrams, critical path method, and critical chain method. Exploring emerging topics within the world of project management and keeping up to date on the latest, most relevant subject areas, Project Management ToolBox is a must-have resource that enables project managers to improve outcomes, deliver quality products and meet stakeholder expectations.
Unplugged Tots
Break down big problems into smaller parts, play pattern detectives, turn tasks into adventures, put things in the right order, and explore the world!​Prepare children to be the problem-solvers, inventors, engineers, scientists, and technologists of tomorrow by equipping them with foundational skills today. Through accessible, fun, and engaging activities, Unplugged Tots helps parents, teachers, and caregivers introduce computational thinking skills to pre-school aged children.​These play-based activities will give children a head start in the world of technology and offers opportunities for more screen-free quality time together -- no computer, tablet, or mobile phone needed!​This book: ​Requires no prior technical knowledge​Facilitates learning through structured play​Helps teach pre-computer coding skills to children aged 21/2 to 8 years​Includes tips to simplify and extend the activities based on a child's ability, interest, or attention span​Just like learning an additional language, the process of learning digital skills has numerous benefits for children, including improved communication, greater confidence, and perhaps the most important skill of all: the ability to learn from failure.​The activities are scaffolded, meaning every child can start with the basics and follow the fun as they progress to other levels.
Virtual Body Language Virtual Body Language
Why does the tail wag the brain? What is virtual autism? Why can't our avatars walk hand-in-hand? Will a nonverbal Babel fish save the world? Jeffrey Ventrella, a seasoned virtual worlds programmer and visual language expert, reviews the history of avatars, smileys, and other expressive forms, and considers a future of spectacular creativity. This book combines thoughtful scholarship with amusing anecdotes from the trenches of Silicon Valley. Virtual Body Language presents a thorough analysis of the neurological, linguistic, aesthetic, and technical aspects of how nonverbal communication can be distributed over the internet. Based on nearly a decade of avatar development, Ventrella has the practical foundation on which to justify even the most outrageous claims, regarding what "avatar" might mean in the future.
