Proceedings of 5th International Ethical Hacking Conference
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.
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.
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.
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.
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).
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.
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.
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.
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.
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.
Dancing with Qubits - Second Edition
Unlock the core math and understand the technical nuances of quantum computing in this detailed guide. Delve into the practicality of NISQ algorithms, and survey promising advancements in quantum machine learning.Key FeaturesDiscover how quantum computing works and delve into the math behind it with practical examplesLearn about and assess the most up-to-date quantum computing topics including quantum machine learningExplore the inner workings of existing quantum computing technologies to understand how they may perform significantly better than their classical counterpartsBook DescriptionDancing with Qubits, Second Edition, is a comprehensive quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. A full description of classical computing and the mathematical underpinnings of quantum computing follows, helping you better understand concepts such as superposition, entanglement, and interference. Next up are circuits and algorithms, both basic and sophisticated, as well as a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments may affect you.This new edition is updated throughout with more than 100 new exercises and includes new chapters on NISQ algorithms and quantum machine learning.Understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is explained thoroughly and with helpful examples, leaving you with a solid foundation of knowledge in quantum computing that will help you pursue and leverage quantum-led technologies.What you will learnExplore the mathematical foundations of quantum computingDiscover the complex, mind-bending concepts that underpin quantum systemsUnderstand the key ideas behind classical and quantum computingRefresh and extend your grasp of essential mathematics, computing, and quantum theoryExamine a detailed overview of qubits and quantum circuitsDive into quantum algorithms such as Grover's search, Deutsch-Jozsa, Simon's, and Shor'sExplore the main applications of quantum computing in the fields of scientific computing, AI, and elsewhereWho this book is forDancing with Qubits, Second Edition, is a quantum computing textbook for all those who want to understand and explore the inner workings of quantum computing. This entails building up from basic to some sophisticated mathematics and is therefore best suited for those with a healthy interest in mathematics, physics, engineering, or computer science.Table of ContentsWhy Quantum ComputingThey're Not Old, They're ClassicsMore Numbers than You Can ImaginePlanes and Circles and Spheres, Oh MyDimensionsWhat Do You Mean "Probably"?One QubitTwo Qubits, ThreeWiring Up the CircuitsFrom Circuits to AlgorithmsGetting PhysicalConsidering NISQ AlgorithmsIntroduction to Quantum Machine LearningQuestions about the Future
Radical Reporting
This small volume provides the tools and techniques needed to improve reports. It does so through addressing crucial concepts all too often overlooked in the familiar rush to perform tasks, complete projects, and meet deadlines.
The AI Glossary
In a world increasingly powered by AI, understanding these technologies is no longer a luxury but a necessity. This book stands as your guide through the complex terrain of artificial intelligence terms, transforming the intricate into the accessible.
AI in Disease Detection
Comprehensive resource encompassing recent developments, current use cases, and future opportunities of AI in disease detection AI in Disease Detection discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation. This book assists readers in assessing big data in healthcare and determining the drawbacks and possibilities associated with the implementation of AI in disease detection; categorizing major applications of AI in disease detection such as cardiovascular disease detection, cancer diagnosis, neurodegenerative disease detection, and infectious disease control, as well as implementing distinct AI methods and algorithms with medical data including patient records and medical images, and understanding the ethical and social consequences of AI in disease detection such as confidentiality, bias, and accessibility to healthcare. Sample topics explored in AI in Disease Detection include: Legal implication of AI in healthcare, with approaches to ensure privacy and security of patients and their data Identification of new biomarkers for disease detection, prediction of disease outcomes, and customized treatment plans depending on patient characteristics AI's role in disease surveillance and outbreak detection, with case studies of its current usage in real-world scenarios Clinical validation processes for AI disease detection models and how they can be validated for accuracy and effectiveness Delivering excellent coverage of the subject, AI in Disease Detection is an essential up-to-date reference for students, healthcare professionals, academics, and practitioners seeking to understand the possible applications of AI in disease detection and stay on the cutting edge of the most recent breakthroughs in the field.
Aixia 2024 - Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the XXIIIrd International Conference on AIxIA 2024 - Advances in Artificial Intelligence, AIxIA 2024, held in Bolzano, Italy, during November 25-28, 2024. The 24 full papers and 1 invited paper included in this volume were carefully reviewed and selected from 41 submissions. The papers cover the following topics: artificial intelligence; journals; Natural Language Processing, Machine Learning, Hybrid AI and Applications of AI.
Advanced Analytics and Learning on Temporal Data
This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers focus on recent advances in Temporal Data Analysis, Metric Learning, Representation Learning, Unsupervised Feature Extraction, Clustering, and Classification.
MultiMedia Modeling
This five-volume set LNCS 15520-15524 constitutes the proceedings of the 31st International Conference on Multimedia Modeling, MMM 2025, held in Nara, Japan, January 8-10, 2025. The 135 full papers and 41 short papers presented in these proceedings were carefully reviewed and selected from 348 submissions. The MMM conference was organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
How To Think With AI
Make AI Your Competitive AdvantageA Human's Guide to Getting AI to Work for YouA revolution in human capability is here. AI-enhanced people are rewriting the rules of human performance. As these early adopters raise the bar, everyone watching from the sidelines is suddenly operating at a fraction of their potential. It's not because they are less capable. It's because they haven't plugged into the extraordinary cognitive powers now at everyone's fingertips.Don't get left behind. Turn your human edge into digital advantage by learning How to Think with AI. This isn't about using AI as a substitute for your own brain. It's about mastering a new kind of collaboration that amplifies your creativity, accelerates your learning, and multiplies your impact. Whether you're a business leader, partner, parent, entrepreneur, or educator, this book gives you the practical framework to harness AI as a powerful ally in pursuing your goals.In How to Think with AI, you'll: Discover how AI can boost your creativity and brain power-while preserving what makes you uniquely human.See why AI will reshape the landscape of success-and why falling behind isn't an option.Get a practical, step-by-step guide to make AI work for you. Every day you wait is a missed opportunity to boost your brain power. Begin your transformation with How to Think with AI and access additional resources at ThinkwithAI.org. Step into a new era of human performance. Welcome to Thinking 2.0, where you combine your natural intelligence with machine intelligence to redefine what's humanly possible.
The Human Element
Are you ready to discover the benefits of AI without losing the human touch?As artificial intelligence becomes important in the workplace, many professionals find it hard to adapt. How can you use these AI tools while still keeping the quality, creativity, and personal touch that make your work special?"The Human Element: A Non-Technical Guide to Working with AI" is the solution you've been searching for. This helpful guide makes AI easy to understand and shows you how to integrate it smoothly into your professional life. No technical background or skills needed.What You'll LearnChoose the Right AI Tools: Adapt the available solutions for your specific needs.Improve, Don't Replace: Use AI to boost your skills, not to take them away.Keep Professional Standards: Make sure things are of a high quality and authentic while using technology.Make Your Work Processes Run Smoother: Save time while still doing great work.Build AI Confidence: Slowly bring AI into use with practical, real-world strategies.Why This Book Stands OutThe Human Element offers practical insights and relatable examples that connect with professionals like you, unlike complicated technical manuals. This book goes beyond just ideas and looks at real outcomes. It shows you how to use AI in a practical and effective way while keeping your professional values intact.Each chapter provides clear guidance, practical examples, and tips for tackling challenges. This book helps you succeed in a world with AI, whether you're new to AI or want to improve your skills.Who is This Book ForThis book is for anyone who wants to learn more.Professionals looking to keep up and stay competitive in a fast-changing environment.Leaders looking to help their teams use AI in a responsible way.People who want to use technology while keeping their personal edge.Don't let AI get ahead of you-use it to your benefit. With The Human Element, you will learn how to: Build your confidence in using AI tools.Increase productivity without taking shortcuts.Remain essential in a workplace influenced by AI.Take Action TodayYour journey in a world powered by AI starts today. Embrace the opportunities of the future with the practical knowledge and confidence to lead the way.Start your journey with The Human Element and change the way you work with AI.
The AI Mindset
The Artificial Intelligence Revolution is here-are you ready? In THE AI MINDSET, a collection of insights from 32 global experts, you'll discover how AI is already transforming industries and what it means for the future of humanity. Whether you're an AI enthusiast or cautiously curious, this book offers a balanced exploration of the possibilities AI holds-both its incredible opportunities and its potential risks.From AI's role in business and education to its impact on cybersecurity and medicine, each chapter addresses AI's influence on our everyday lives. The book not only helps you understand what AI is but also challenges you to develop an "AI Mindset"-a mentality that embraces innovation while remaining alert to its consequences.Join AI professionals, engineers, professors, and thought leaders from around the world as they share actionable insights that will help you thrive in a rapidly evolving landscape. Whether you're worried about job automation or excited about the potential for AI-human collaboration, THE AI MINDSET equips you with the knowledge and perspective needed to navigate this new era.AI isn't just the future-it's now. Will you adapt and thrive or be left behind?The co-authors of this book include Nicolas Affolter, Sandali Amunugama, Emily Barnes, EdD, PhD, Hans van den Berg, Monika Bishnoi, Fabian Bocek, PhD, Fabio Brand, B. A. Marbue Brown, Nigel Cannings, Rodrigo Cant繳 Polo, Emelie Chandni Jutvik, Lucy Chen, Hermann Escher, Isabelle Fl羹ckiger, Carl Jones, Kerry Kurcz, Rudy Martinez, Dr. Michael T. McClanahan, Toby Miller, Carolina Monge Palazon, Gloriana J. Monko, Christopher Narowski, Ira Aurora Paavola, Piero Pierucci, Marcin Polulich, Christina Rehmeier, Kathryn Simons-Porter, Thomas Somogyi, Dan Sorensen, Sakina Syed, and Gerben Vermeulen.
Hands-on Splunk on AWS
DESCRIPTION Hands-on Splunk on AWS is a practical tutorial for professionals who wish to set up, manage, and analyze data with Splunk on AWS. This practical guide capitalizes on the scalability and flexibility of Amazon Web Services (AWS) to streamline your Splunk deployment.This book is a complete guide to Splunk, a powerful tool for analyzing and visualizing machine-generated data. It explains Splunk's architecture, components, and data flow, helping you set up, configure, and index data effectively. Learn to write efficient Splunk Processing Language (SPL) queries, create detailed visualizations, and optimize searches for deeper insights. Discover advanced topics like clustering and integrating Splunk into modern DevOps practices and cloud-native environments. The book also shares best practices for administration, troubleshooting, and security.By the end of this guide, readers will be confident in utilizing Splunk on AWS to make data-driven decisions. Whether you want to improve your data analysis or use AWS for Splunk, this book will teach you the skills and insights you need in today's data-driven world.KEY FEATURES ● Understand Splunk's search language to query, analyze, and visualize data.● Create interactive dashboards and reports to communicate insights effectively.● Integrate Splunk with modern DevOps practices to improve monitoring and troubleshooting.WHAT YOU WILL LEARN● How to deploy and configure Splunk effectively on AWS.● Key concepts and tools in data onboarding and indexing.● Mastery of the Splunk Processing Language (SPL) for data queries.● Techniques for creating and managing interactive dashboards.● Integration of Splunk with Kubernetes and CI/CD pipelines.● Methods for applying machine learning in data analysis with Splunk.WHO THIS BOOK IS FORThis book is for IT professionals, data analysts, Splunk administrators, and cloud enthusiasts to improve their understanding of Splunk on AWS and extract valuable insights from their data.
