AI and Machine Learning Policy Disasters
Discover the dark side of AI and Machine Learning in this comprehensive guide. Explore biases, privacy concerns, criminal justice, healthcare, social media manipulation, the future of work, and the environment, while learning about ethical considerations and building responsible AI policies. With engaging content and a focus on inclusivity, this book is a must-read for anyone interested in the ethical implications of AI.
Logic Programming and Nonmonotonic Reasoning
This book constitutes the refereed proceedings of the 17th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2024, held in Dallas, TX, USA, during October 11-14, 2024. The 27 full papers and 3 short papers included in this book were carefully reviewed and selected from 48 submissions. They deal with declarative logic programming, non-monotonic reasoning, and knowledge representation, focusing on the design and implementation of logic-based programming languages and database systems.
Perinatal, Preterm and Paediatric Image Analysis
This book constitutes the refereed proceedings of the 9th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2024, held in conjunction with the 27th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 14 full papers presented in this book were carefully reviewed and selected from 17 submissions. The methods presented in these proceedings cover the full scope of medical image analysis including segmentation, registration, classification, reconstruction, population analysis and advanced structural, and functional and longitudinal modeling, all with an application to younger cohorts.
Ophthalmic Medical Image Analysis
This book constitutes the refereed proceedings of the 11th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2024, held in conjunction with the 27th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 16 papers presented in this book were carefully reviewed and selected from 31 submissions. The papers cover various topics such as computer-aided detection and diagnosis of disease; image analysis of novel ophthalmic imaging modalities; multimodal ophthalmic image analysis; ophthalmic image atlases; ophthalmic image analysis in animals; registration of ophthalmic images, including multimodal, segmentation of structures (e.g., vasculature, lesions, landmarks), combined analysis of images of the eye and other organs; validation; and/or crowd sourcing.
Engineering Resilient Systems on AWS
To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively, thinking that because the cloud is resilient, their applications will be too. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs. Authors Kevin Schwarz, Jennifer Moran, and Dr. Nate Bachmeier from AWS teach you how to build cloud applications that demonstrate resilience with patterns like back off and retry, multi-Region failover, data protection, and circuit breaker with common configuration, tooling, and deployment scenarios. Labs are organized into categories based on complexity and topic, making it easy for you to focus on the most relevant parts of your business. You'll learn how to: Configure and deploy AWS services using resilience patterns Implement stateless microservices for high availability Consider multi-Region designs to meet business requirements Implement backup and restore, pilot light, warm standby, and active-active strategies Build applications that withstand AWS Region and Availability Zone impairments Use chaos engineering experiments for fault injection to test for resilience Assess the trade-offs when building resilient systems, including cost, complexity, and operational burden
The New Social Issues
Book Summary: Innovative Approaches to Social Issues explores the definition, impact, and historical perspectives of social issues, presenting interdisciplinary approaches, community engagement strategies, innovative education and awareness methods, policy development and advocacy techniques, fundraising and resource mobilization strategies, research and evaluation methods, and concludes with a discussion on building a sustainable and just society. This comprehensive guide provides practical tools and insights for individuals and organizations seeking to address and combat social issues in todays world.
Deep Generative Models
This book constitutes the proceedings of the 4th workshop on Deep Generative Models for Medical Image Computing and Computer Assisted Intervention, DGM4MICCAI 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 21 papers presented here were carefully reviewed and selected from 40 submissions. These papers deal with a broad range of topics, ranging from methodology (such as Causal inference, Latent interpretation, Generative factor analysis) to Applications (such as Mammography, Vessel imaging, Surgical videos and more).
Cancer Prevention, Detection, and Intervention
This book constitutes the refereed proceedings of the Third International Workshop on Cancer Prevention Through Early Detection, CaPTion, held in conjunction with the 27th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 22 full papers presented in this book were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: Classification and characterization; detection and segmentation; cancer/early cancer detection, treatment and survival prognosis.
A Practical Introduction to Virtual Reality
A Practical Introduction to Virtual Reality: From Concepts to Executables is written for the undergraduate computer science student taking a course in virtual reality. This tutorial-based text is organized so that by the end of the semester students will have created their first VR game, including sound and various interactions. The materials are written from the position of the student and the student's professor as opposed to the professional with prior graphics experience. Beginning with an introductory chapter covering the ten universal basics necessary for VR coding, the book moves on to such topics as putting together a VR set-up, creating Heads Up displays, building scene trees, learning how to import 3D models and animations, lighting and audio, and more, until by the end of the book, students will have a final project game ready for beta testing and publishing!
Hybrid Artificial Intelligent Systems
This two-part proceedings volume constitutes the refereed proceedings of the 19th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2024), held in Salamanca, Spain, during October 9-11, 2024. The 52 full papers were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows: Part I: Biomedical Applications, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization. Part II: HAIS Applications, HAIS Energy Applications, Image and Text Processing, Reinforced Learning.
Soft Computing for Smart Environments
This book applies both industrial engineering and computational intelligence to demonstrate intelligent machines that solve real-world problems in various smart environments. It presents fundamental concepts and the latest advances in multi-criteria decision-making (MCDM) techniques and their application to smart environments. Though managers and engineers often use multi-criteria analysis in making complex decisions, many core problems are too difficult to model mathematically or have simply not yet been modeled.In response, as well as discussing AI-based approaches, Soft Computing for Smart Environments covers various optimization techniques, decision analytics, and data science in applying soft computing techniques to a defined set of smart environments, including smart and sustainable cities, disaster response systems, and smart campuses.This state-of-the-art book will be essential reading for both undergraduate and graduate students, researchers, practitioners, and decision-makers interested in advanced MCDM techniques for management and engineering in relation to smart environments.
From Wheels to Code
"From Wheels to Code: How AI is Shaping the Future of Mobility" takes readers on a compelling journey through the history and future of transportation. From the invention of the wheel to the rise of artificial intelligence, this book explores how technology has revolutionized the way we move and where it's headed next.Author Etienne Psaila delves into the critical moments in transportation history-such as the steam revolution, the birth of the automobile, and the advent of flight-while shedding light on how AI is poised to reshape mobility in the 21st century. With insightful analyses of the ethical dilemmas, environmental challenges, and cybersecurity risks that come with autonomous vehicles and AI-driven systems, Psaila addresses the question: Can we fully trust machines to take the wheel?The book goes even further, examining the potential societal consequences of AI, including the possibility of AI-driven warfare, its impact on global democracies, and its role in strengthening or undermining totalitarian regimes. "From Wheels to Code" offers readers a thought-provoking exploration of how AI is not only transforming transportation but also influencing the future of governance and global stability.Exploring both the promise and perils of these innovations, this book serves as a timely reflection on how AI, automation, and technology are shaping not only the future of transportation but society as a whole. Whether you're a technologist, policymaker, or just curious about the road ahead, "From Wheels to Code" is an essential guide to understanding the next frontier of human mobility-and beyond.
From Wheels to Code
"From Wheels to Code: How AI is Shaping the Future of Mobility" takes readers on a compelling journey through the history and future of transportation. From the invention of the wheel to the rise of artificial intelligence, this book explores how technology has revolutionized the way we move and where it's headed next.Author Etienne Psaila delves into the critical moments in transportation history-such as the steam revolution, the birth of the automobile, and the advent of flight-while shedding light on how AI is poised to reshape mobility in the 21st century. With insightful analyses of the ethical dilemmas, environmental challenges, and cybersecurity risks that come with autonomous vehicles and AI-driven systems, Psaila addresses the question: Can we fully trust machines to take the wheel?The book goes even further, examining the potential societal consequences of AI, including the possibility of AI-driven warfare, its impact on global democracies, and its role in strengthening or undermining totalitarian regimes. "From Wheels to Code" offers readers a thought-provoking exploration of how AI is not only transforming transportation but also influencing the future of governance and global stability.Exploring both the promise and perils of these innovations, this book serves as a timely reflection on how AI, automation, and technology are shaping not only the future of transportation but society as a whole. Whether you're a technologist, policymaker, or just curious about the road ahead, "From Wheels to Code" is an essential guide to understanding the next frontier of human mobility-and beyond.
Tap In
The USA Today Featured Bestseller!Technology uplifts everything around us. Now it's time for it to empower you-it's time to Tap In.What would you do with an extra 20 hours a week and 30 percent more cash flow? So often we feel the things we want most, such as time with our family and friends or the opportunity to obtain new career skills, learn a hobby, or start a business, are impossibly out of reach. Yet here's an amazing truth. The tools you need to attain all this and more are available to you today.In Tap In, Paul Joffe reveals that AI is your gateway to a future of possibility. His step-by-step guide provides instructions for leveraging AI in your everyday life, covering twenty-five distinct categories from personal health and finance to turning ideas into businesses or authoring books. Learn to accomplish daily tasks much faster and with extensive monetary savings. You can achieve additional profound results with activities you've never had the time or resources to pursue-until now. In a few simple steps, you can: Manage your expenses efficiently and uncover significant savingsSolve household problems quickly without the cost of professional helpReach your fitness and nutrition objectives while spending less than ever before Unlock your creativity to achieve new levels of expertise and knowledge Discover new ways to connect with friends and family, and gain more time to spend with those you love Harness AI's capabilities to handle life's mundane tasks, fill your bank account, supercharge personal growth, and make time for what truly matters. Loaded with real-world examples and practical tips, Tap In demystifies AI and shows you how to make this powerful tool work for you.
Medical Image Computing and Computer Assisted Intervention - Miccai 2024
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6-10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Mastering AI
A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI's impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes. Continuing a process begun by the internet, AI will rewire our brains, likely inhibiting our ability to think critically, to remember, and even to get along with one another--unless we all take decisive action to prevent this from happening. Much as Michael Lewis's classic The New New Thing offered a prescient, insightful, and eminently readable account of life inside the dot-com bubble, Mastering AI delivers much-needed guidance for anyone eager to understand the AI boom--and what comes next.
Mastering Salesforce Experience Cloud
Your guide to unlocking business potential and technical mastery with essential to advanced strategies for launching and maintaining top-tier Experience Cloud sites effortlesslyKey Features: - Empower your team and your organization to lead and maintain an Experience Cloud transformation- Master out-of-the-box Experience Cloud features, custom development options, and development best practices- Curate a consumer-friendly Experience Cloud site that maximizes value for your company, while keeping maintenance costs low- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Empowering your target audience to interact effortlessly with you and your product offerings is a critical aspect of business in the modern era. Users expect easy, professional digital experiences when engaging with organizations. However, creating engagement applications from scratch is challenging, and connecting user behavior with your organization's data is even more complex.Enter Salesforce Experience Cloud sites, website portals built on the Salesforce data model that seamlessly connects your user data to your user experience. Mastering Salesforce Experience Cloud focuses on the human-centric nature of this product, beginning with a comprehensive guide on designing for your organization's desired users and ensuring success for both internal teams and end users. After exploring the real-world applications of Experience Cloud and reviewing license models, this book provides a beginning-to-end guide to mastering the technical backend of this product, covering both out-of-the-box settings and customization techniques.By the end of this book, you'll have gained a deep understanding of the Experience Cloud data model and customization options to create engaging, user-centric digital experiences that deliver value to your organization and stakeholders.What You Will Learn: - Define your audience and identify your overall strategy for an Experience Cloud site- Understand the technical and operational strategy needed to support your site- Work with the Experience Cloud data model and standard template features- Determine when to use Visualforce, Aura, LWC, or LWR while exploring custom development options- Get to grips with the how Salesforce Flow and Triggers work- Leverage marketing automation, knowledge base, and communication in the site- Find out about site launch tactics, user creation, site moderation, and ongoing reportingWho this book is for: If you want to understand the intricacies of Salesforce Experience Cloud, transform your client experience, enhance your enterprise architecture, and create a scalable, world class-customer web experience that smoothly integrates with an existing Salesforce instance, this book is for you. Business leaders, IT leaders, Salesforce developers, Salesforce admins, and web teams tasked with delivering and maintaining an excellent, integrated Experience Cloud portal will benefit from this book. Ideal for readers with Salesforce experience in any cloud or a basic grasp of Service Cloud features.Table of Contents- Defining Your Digital Experience Strategy- Translating Your Audience and Interactions into Meaningful Technology Features- Technology Component Identification - Which Parts of Experience Cloud Do I Need?- Curating Data Models- Understanding Experience Cloud Templates- When to Use Aura Components, Lightning Web Components and Lightning Runtime Components- Leveraging Screen Flows versus Apex- Understanding Inputs - Emails, Chats, and Text Messages- Marketing Automation Setup(N.B. Please use the Read Sample option to see further chapters)
Application Lifecycle Management on Microsoft Power Platform
Implement modern DevOps techniques in the Power Platform to boost business and maker productivityKey Features: - Demystify ALM concepts and how they apply to Microsoft Power Platform Application Lifecycle Management on Microsoft Power Platform- Define the best strategy for possible solutions, source code, and environments- Automate build and deployment tasks using Azure DevOps and GitHub- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Managing Power Platform solutions manually can be challenging and time-consuming, as is application lifecycle management (ALM), which encompasses governance, development, and maintenance. This book provides comprehensive coverage of ALM, addressing planning, development, testing, deployment, and maintenance. Drawing on his extensive experience as a Power Platform consultant and Microsoft MVP, Benedikt Bergmann simplifies complex topics, making them accessible and easy to grasp.From planning and designing applications to deploying and maintaining them, this book provides step-by-step instructions, best practices, and real-world examples to effectively manage the entire application lifecycle. You'll gain insights into optimizing Power Platform's toolbox, including Power Apps, Power Automate, Power Pages, and Power Virtual Agents, for seamless collaboration, agile development, and rapid application delivery. You'll also implement best practices for version control, code management, and collaboration using the Microsoft Power Platform.By the end of this book, you'll be equipped with the knowledge and skills to effectively manage the entire application lifecycle, accelerate development cycles, and deliver exceptional solutions with the Microsoft Power Platform.What You Will Learn: - Understand the importance of ALM in the context of Microsoft Power Platform- Leverage the Power Platform CLI to streamline ALM practices- Develop a comprehensive strategy for managing Power Platform environments- Explore techniques for defining robust Dataverse solutions for scalability and performance- Apply ALM concepts to Microsoft Power Platform- Use Managed Pipelines in managed Power Platform environments- Implement a source-code-centric approach with Azure DevOps Pipelines and GitHub ActionsWho this book is for: If you are involved in managing the deployment of Microsoft Power Platform solutions, whether as a solution architect, developer, functional consultant, or DevOps specialist, this book is for you. Familiarity with Power Platform is recommended.Table of Contents- An Intro to ALM- ALM in Power Platform- Power Platform Environments - Dataverse Solutions- Power Platform CLI- Environment Variables, Connection References, and Data- Approaches to Managing Changes in Power Platform ALM- Essential ALM Tooling for Power Platform- Project Setup- Pipelines- Advanced Techniques- Continuous Integration/Continuous Delivery- Deepening ALM Knowledge
Human Information Interaction
A fresh research approach that bridges the study of human information interaction and the design of information systems. Human information interaction (HII) is an emerging area of study that investigates how people interact with information; its subfield human information behavior (HIB) is a flourishing, active discipline. Yet despite their obvious relevance to the design of information systems, these research areas have had almost no impact on systems design. One issue may be the contextual complexity of human interaction with information; another may be the difficulty in translating real-life and unstructured HII complexity into formal, linear structures necessary for systems design. In this book, Raya Fidel proposes a research approach that bridges the study of human information interaction and the design of information systems: cognitive work analysis (CWA). Developed by Jens Rasmussen and his colleagues, CWA embraces complexity and provides a conceptual framework and analytical tools that can harness it to create design requirements. CWA offers an ecological approach to design, analyzing the forces in the environment that shape human interaction with information. Fidel reviews research in HIB, focusing on its contribution to systems design, and then presents the CWA framework. She shows that CWA, with its ecological approach, can be used to overcome design challenges and lead to the development of effective systems. Researchers and designers who use CWA can increase the diversity of their analytical tools, providing them with an alternative approach when they plan research and design projects. The CWA framework enables a collaboration between design and HII that can create information systems tailored to fit human lives.
Beyond Fairness in Computer Vision
The field of computer vision is now a multi-billion dollar enterprise, with its use in surveillance applications driving this large market share. In the last six years, computer vision researchers have started to discuss the risks and harms of some of these systems, mostly using the lens of fairness introduced in the machine learning literature to perform this analysis. While this lens is useful to uncover and mitigate a narrow segment of the harms that can be enacted through computer vision systems, it is only one of the toolkits that researchers have available to uncover and mitigate the harms of the systems they build. In this monograph, a wide range of risks and harms that can be enacted through the development and deployment of computer vision systems are discussed, in addition to some existing technical approaches to mitigating these harms and the shortcomings of these mitigation strategies. Thereafter, computer vision researchers are introduced to harm mitigation strategies proposed by journalists, human rights activists, individuals harmed by computer vision systems, and researchers in disciplines ranging from sociology to physics. The monograph concludes by listing principles that researchers can follow to build community-rooted computer vision tools in the public interest. The authors hope that this monograph can serve as a starting point for researchers exploring the harms of current computer vision systems and attempting to steer the field into community-rooted work.
Artificial Neural Networks and Machine Learning - Icann 2024
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Understanding Machine Understanding
This is a comprehensive and thought-provoking exploration of the nature of machine understanding, its evaluation, and its implications. The book proposes a new framework, the Multifaceted Understanding Test Tool (MUTT), for assessing machine understanding across multiple dimensions, from language comprehension and logical reasoning to social intelligence and metacognition. Through a combination of philosophical analysis, technical exposition, and narrative thought experiments, the book delves into the frontiers of machine understanding, raising fundamental questions about the cognitive mechanisms and representations that enable genuine understanding in both human and machine minds. By probing the boundaries of artificial comprehension, the book aims to advance our theoretical grasp on the elusive notion of understanding and inform responsible development and deployment of AI technologies. In an era where Artificial Intelligence systems are becoming integral to our daily lives, a pressing question arises: Do these machines truly understand what they are doing, or are they merely sophisticated pattern matchers? "Understanding Machine Understanding" delves into this profound inquiry, exploring the depths of machine cognition and the essence of comprehension. Join Ken Clements and Claude 3 Opus on an intellectual journey that challenges conventional benchmarks like the Turing Test and introduces the innovative Multifaceted Understanding Test Tool (MUTT). This groundbreaking framework assesses AI's capabilities across language, reasoning, perception, and social intelligence, aiming to distinguish genuine understanding from mere imitation. Through philosophical analysis, technical exposition, and engaging narratives, this book invites readers to explore the frontiers of AI comprehension. Whether you're an AI researcher, philosopher, or curious observer, "Understanding Machine Understanding" offers a thought-provoking guide to the future of human-machine collaboration. Discover what it truly means for a machine to understand--and the implications for our shared future.
Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond - Third Edition
Leverage Azure's storage, security, networking, and compute services to ace the AZ-104 exam and excel in your daily tasksPurchase of this book unlocks access to web-based exam prep resources such as mock exams, flashcards, exam tips, and the eBook PDFKey Features: - Prepare for the AZ-104 exam with the latest exam objectives and content- Gain hands-on Azure experience with practical labs for real-world administrative tasks- Assess your exam readiness with challenging mock examsBook Description: Take the first step toward excellence in Azure management and achieving Microsoft certification with this practical guide!This third edition of Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond offers comprehensive insights and clear, step-by-step instructions that follow the latest AZ-104 exam objectives. You'll work your way from foundational topics such as Azure identity management and governance to essential skills such as deploying and managing storage solutions, configuring virtual networks, and effectively monitoring Azure resources. Each chapter is equipped with practice questions to reinforce your understanding and enhance your practical skills. The book also provides you with access to online mock exams, interactive flashcards, and expert exam tips, guaranteeing that you pass with flying colors.By the end of this book, you'll not only be equipped to pass the AZ-104 exam but also possess the expertise needed to expertly manage Azure environments.What You Will Learn: - Manage Azure AD users, groups, and RBAC- Handle subscription management and governance implementation- Customize and deploy Azure Resource Manager templates- Configure containers and Azure app services- Manage and secure virtual networks comprehensively- Utilize Azure Monitor for resource monitoring- Implement robust backup and recovery solutionsWho this book is for: This book is for cloud administrators, engineers, and architects looking to understand Azure better and get a firm grasp on administrative functions or anyone preparing to take the Microsoft Azure Administrator (AZ-104) exam. A basic understanding of the Azure platform is needed, but astute readers can comfortably learn all the concepts without having worked on the platform before by following all the examples present in the book.Table of Contents- Managing Microsoft Entra ID Objects- Devices in Microsoft Entra ID- Managing Role-Based Access Control in Azure- Creating and Managing Governance- Managing Governance and Costs- Understanding Storage Accounts- Copying Data To and From Azure- Securing Storage- Storage Management and Replication- Azure Resource Manager Templates- Azure Bicep- Understanding Virtual Machines- Managing Virtual Machines- Creating and Configuring Containers- Creating and Configuring App Service- Implementing and Managing Virtual Networking- Securing Access to Virtual Networks- Configuring Load Balancing- Integrating On-Premises Networks with Azure- Monitoring and Troubleshooting Virtual Networking- Monitoring Resources with Azure Monitor- Implementing Backup and Recovery Solutions
AWS Cloud Engineer Guide
DESCRIPTION Cloud computing provides a more efficient, reliable, secure, and cost-effective way to run applications. Cloud computing offers customers access to rapidly growing amounts of data storage and computation resources while centralizing IT operations in the cloud provider's datacenter or in colocation data centers.Understand AWS basics such as EC2, VPCs, S3, and IAM while learning to design secure and scalable cloud architectures. This book guides you through automating infrastructure with CloudFormation and exploring advanced topics like containers, continuous integration and continuous delivery (CI/CD) pipelines, and cloud migration. You will also discover serverless computing with Lambda, API Gateway, and DynamoDB, enabling you to build efficient, modern applications. With real-world examples and best practices, this resource helps you optimize your AWS environment for both performance and cost, ensuring you can build and maintain robust cloud solutions.By the end of this book, you will be able to confidently design, build, and operate scalable and secure cloud solutions on AWS. Gain the expertise to leverage the full potential of cloud computing and drive innovation in your organization.WHAT YOU WILL LEARN● How to get started with and launch EC2 instances. ● Working with and simplifying VPC's, security groups, and network access control lists on AWS.● Learn how to secure your AWS environment through the use of IAM roles and policies.● Learn how to build scalable and fault-tolerant database systems using AWS database services such as RDS and Aurora.● Learn how to set up a CI/CD pipeline on AWS.WHO THIS BOOK IS FORWhether you are a system administrator, cloud architect, solutions architect, cloud engineer, DevOps engineer, security engineer, or cloud professional, this book provides valuable insights and practical guidance to help you build and operate robust cloud solutions on AWS.
Thrive
How AI can positively impact so many aspects of our daily lives, from health and wellness to work, education, and home life. Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life. In the process the authors help explain the underlying technology and give people the agency they need to shape the debate around how we should regulate AI to maximize its benefits and minimize its risks. Bringing over two decades of experience with cutting-edge research, consulting, executive coaching, and advising to bear on the subject, Bapna and Ghose demystify the technology of AI itself. They offer a novel "House of AI" framework that encompasses traditional analytics, generative AI, and fair and ethical deployment of AI. Using examples from everyday life, they showcase how the modern AI-powered ecosystem fundamentally improves the emotional, physical, and material well-being of regular people across the globe. Thrive's mission is to educate the public about AI, shape realistic expectations, and foster informed discussions about a fast-emerging AI-shaped society.
Entangled in Risk
Taylor Swift endorsed Vice President Kamala Harris for the presidential election in September 2024, citing concerns over AI-generated misinformation. This move was in response to AI-created images falsely depicting her support for Donald Trump. Swift emphasized the importance of transparency and truth to combat such misinformation. In Entangled in Risk: Navigating the Ethical Frontier of AI, Wagoner guides readers through the evolving landscape of artificial intelligence, focusing on its profound ethical implications. Drawing on real-world case studies, this book offers a comprehensive analysis of both the benefits and the risks associated with the latest AI systems and humanoid robots. Each chapter delves into key issues, from bias and privacy concerns to the societal impact of AI, presenting the reader with thoughtful recommendations on mitigating these risks in the future. The book provides an in-depth exploration of how AI systems are shaping public perception, decision-making, and even the future of work. Through compelling case studies, it highlights the ethical dilemmas posed by AI's potential to perpetuate discrimination, manipulate social information, and influence industries from law enforcement to creative sectors. The author's engineering background offers a technical viewpoint that helps readers understand the complex issues surrounding AI-driven systems and consider their broad impact on society. Entangled in Risk is more than just a critique-it is a forward-thinking guide that offers practical strategies for navigating the complex ethical terrain of AI. Readers will walk away with a deeper understanding of not only the challenges we face but also the pathways to developing responsible AI technologies that prioritize transparency, accountability, and human well-being. Whether you're a technologist, policymaker, or just curious about AI's future, this book is an essential resource for understanding and confronting the ethical challenges that lie ahead.
Ultimate AWS Certified Solutions Architect Associate Exam Guide
Your Definitive Path to Mastering Cloud Architecture Skills and Conquering the SAA-C03 Exam. Book DescriptionThe AWS Certified Solutions Architect - Associate SAA-C03 credential boosts career prospects and salaries, with 73% of professionals seeing job improvements and a 26% salary increase. The Ultimate AWS Certified Solutions Architect - Associate (SAA-C03) Certification Guide equips you with the knowledge to master AWS architecture, from core services to advanced topics like serverless computing and machine learning, with practical examples and expert insights that are crucial for passing the exam and excelling in real-world applications. This book not only covers the fundamentals but also explores advanced topics like serverless computing, containers, and machine learning. Each chapter is packed with practical examples, real-world scenarios, hands-on exercises, and expert insights that will build your confidence and competence as a cloud architect. With this guide, you will gain the knowledge and skills needed to create highly available, fault-tolerant architectures that meet the demands of today's dynamic cloud environments. Whether you are aiming to pass the AWS Certified Solutions Architect - Associate exam or looking to enhance your cloud architecture skills, this book is your gateway to success. Table of Contents1. Introduction to Cloud Computing, AWS, and AWS SAA C-032. Identity and Access Management in AWS3. Networking in AWS4. Cloud Storage5. Deep-Dive into AWS Compute6. Deep Dive Into AWS Databases7. AWS Application Services8. AWS Management and Governance Services9. AWS Cloud Security10. Cloud Architecture and AWS Framework11. AWS SAA C-03 Certification Preparation Index
Continuous Modernization
DESCRIPTION As an engineer, it can feel like there is never enough time for testing, designing, or delivering quality solutions. Managers often feel overwhelmed by the need to deliver new features to support their teams while managing vulnerabilities and security standards. Engineers often have to work with legacy systems and learn many new technologies simultaneously to be effective in their jobs. This book teaches you continuous modernization, a key skill for tackling modern and legacy software. By adopting the right mindset and techniques, you will improve systems and workflows, making everything more efficient over time.Continuous modernization is your essential guide to updating old software systems into modern, efficient, and scalable applications. This book covers everything from changing your mindset and technical practices to business strategies and fostering a culture of innovation. It includes tips on unlearning outdated methods, embracing feedback, making smart decisions, ensuring stability, and applying modern design principles. With practical techniques and real-world examples, it provides the tools you need to modernize your software systems and achieve lasting success successfully.By the end of this book, readers will master continuous modernization principles and practices. They will learn to spot areas needing improvement, create effective modernization strategies, and implement changes that boost value and efficiency. Additionally, they will understand how to build a culture of innovation and ongoing learning to keep their software systems up-to-date and competitive in a fast-changing tech world.WHAT YOU WILL LEARN● Learn patterns, anti-patterns, and tools to improve software architecture decisions.● Eliminate limiting practices to improve development efficiency.● Apply disciplined feedback loops to refine architecture and design decisions.● Implement advanced troubleshooting techniques to prevent design flaws.● Continuously refactor systems and scale modernization efforts in distributed architectures.WHO THIS BOOK IS FOROur book is for professionals in the field of computer science. It is for software architects, engineers, testers, managers, directors, and VPs. This is for individuals and teams who may or may not have a modernization project but care about improving individuals and systems daily.
Energy Efficiency and Robustness of Advanced Machine Learning Architectures
Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness, and techniques that typically focus on optimizing for a single objective/have a limited set of goals.This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks. More specifically, this book improves the energy efficiency of complex models like CapsNets, through a specialized flow of hardware-level designs and software-level optimizations exploiting the application-driven knowledge of these systems and the error tolerance through approximations and quantization. This book also improves the robustness of ML models, in particular for SNNs executed on neuromorphic hardware, due to their inherent cost-effective features. This book integrates multiple optimization objectives into specialized frameworks for jointly optimizing the robustness and energy efficiency of these systems.This is an important resource for students and researchers of computer and electrical engineering who are interested in developing energy efficient and robust ML.
Advancing Openmp for Future Accelerators
This book constitutes the refereed proceedings of the 20th International Workshop on OpenMP: Advancing OpenMP for Future Accelerators, IWOMP 2024, in Perth, WA, Australia, during September 23-25, 2024. The 14 full papers presented in this book were carefully reviewed and selected from 16 submissions. They are grouped into the following topics: current and future openMP optimization; targeting more devices; best practices; tools; and simplifying parallelization.
Augmenting Public Relations
Examining a range of new practices for the PR industry, covering both principles and applications, this book will be of great value to students, academics and practitioners alike. It describes the nature of AI and projects its development, offering an introduction to practitioners on how they too can create their own AI tools.
A Systematic Review of Visualization Recommendation Systems
Visualization recommendation systems help data analysts navigate large, complex datasets by generating visualizations of meaningful patterns, outliers, and insights that could influence downstream decision-making. However, recommendations can easily mislead or confuse analysts when they are not developed with care. This monograph reviews how visualization recommendation systems have been designed over the last 25 years, and classifies them by their underlying recommendation goals and high-level implementation strategies, including the user interfaces provided for navigating and interpreting the recommended visualizations. To understand their efficacy, this work also reviews how visualization recommendation systems are evaluated in the literature. Given these observations, several open challenges and promising directions for future work in designing effective visualization recommendation systems are presented.
Change Request Impacts in Software Maintenance
This book discusses Change Management Impact Analysis and how this method is used to analysis the risks and benefits of a change management initiative when it pertains to obtaining critical insight into how the change management program budge should be allotted.
Cloud Native Application Protection Platforms
Cloud native security isn't a game for individual players. It requires team collaboration with a platform that can help cloud security engineers, developers, and operations people do their best work. That's what the cloud native application protection platform (CNAPP) delivers. With this practical guide, you'll learn how CNAPP can help you consolidate security through DevSecOps across cloud native technologies, practices, and application lifecycles. Through real-life attack scenarios, authors Russ Miles, Steve Giguere, and Taylor Smith help you explore how CNAPP not only mitigates multidimensional threats, but also reduces complexity and helps your team stay one step ahead of attackers. CNAPP provides a holistic approach to your cloud native development across identities, workloads, networks, and infrastructure. With this book, you will: Examine threats to different parts of the cloud native stack, including pipelines, supply chains, infrastructure, workloads, and applications Learn what CNAPP is and how it enables the context-sharing and collaboration necessary to secure your applications from development to runtime Assess your own attack surface from a code and runtime standpoint Identify blind spots in your existing cloud native security coverage Leverage CNAPP to achieve a holistic, collaborative security environment
Towards Smart World
Towards Smart World: Homes to Cities Using Internet of Things provides an overview of basic concepts from the rising of machines and communication to IoT for making cities smart, real-time applications domains, related technologies, and their possible solutions for handling relevant challenges. This book highlights the utilization of IoT for making cities smart and its underlying technologies in real-time application areas such as emergency departments, intelligent traffic systems, indoor and outdoor securities, automotive industries, environmental monitoring, business entrepreneurship, facial recognition, and motion-based object detection.FeaturesThe book covers the challenging issues related to sensors, detection, and tracking of moving objects, and solutions to handle relevant challenges. It contains the most recent research analysis in the domain of communications, signal processing, and computing sciences for facilitating smart homes, buildings, environmental conditions, and cities. It presents the readers with practical approaches and future direction for using IoT in smart cities and discusses how it deals with human dynamics, the ecosystem, and social objects and their relation. It describes the latest technological advances in IoT and visual surveillance with their implementations. This book is an ideal resource for IT professionals, researchers, undergraduate or postgraduate students, practitioners, and technology developers who are interested in gaining deeper knowledge and implementing IoT for smart cities, real-time applications areas, and technologies, and a possible set of solutions to handle relevant challenges.Dr. Lavanya Sharma is an Assistant Professor in the Amity Institute of Information Technology at Amity University UP, Noida, India. She has been a recipient of several prestigious awards during her academic career. She is an active nationally recognized researcher who has published numerous papers in her field.
Applications of Machine Learning and Deep Learning on Biological Data
The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and deep learning (DL) have increased the speed and efficacy of programming such algorithms.Applications of Machine Learning and Deep Learning on Biological Data is an examination of applying ML and DL to such areas as proteomics, genomics, microarrays, text mining, and systems biology. The key objective is to cover ML applications to biological science problems, focusing on problems related to bioinformatics. The book looks at cutting-edge research topics and methodologies in ML applied to the rapidly advancing discipline of bioinformatics. ML and DL applied to biological and neuroimaging data can open new frontiers for biomedical engineering, such as refining the understanding of complex diseases, including cancer and neurodegenerative and psychiatric disorders. Advances in this field could eventually lead to the development of precision medicine and automated diagnostic tools capable of tailoring medical treatments to individual lifestyles, variability, and the environment.Highlights include: Artificial Intelligence in treating and diagnosing schizophrenia An analysis of ML's and DL's financial effect on healthcare An XGBoost-based classification method for breast cancer classification Using ML to predict squamous diseases ML and DL applications in genomics and proteomics Applying ML and DL to biological data
Computer Vision and Internet of Things
Computer Vision and Internet of Things: Technologies and Applications explores the utilization of Internet of Things (IoT) with computer vision and its underlying technologies in different applications areas. Using a series of present and future applications - including business insights, indoor-outdoor securities, smart grids, human detection and tracking, intelligent traffic monitoring, e-health departments, and medical imaging - this book focuses on providing a detailed description of the utilization of IoT with computer vision and its underlying technologies in critical application areas, such as smart grids, emergency departments, intelligent traffic cams, insurance, and the automotive industry.Key Features - Covers the challenging issues related to sensors, detection, and tracking of moving objects with solutions to handle relevant challenges- Describes the latest technological advances in IoT and computer vision with their implementations- Combines image processing and analysis into a unified framework to understand both IOT and computer vision applications- Explores mining and tracking of motion-based object data, such as trajectory prediction and prediction of a particular location of object data, and their critical applications- Provides novel solutions for medical imaging (skin lesion detection, cancer detection, enhancement techniques for MRI images, and automated disease prediction)This book is primarily aimed at graduates and researchers working in the areas of IoT, computer vision, big data, cloud computing, and remote sensing. It is also an ideal resource for IT professionals and technology developers.
Advanced Intelligent Predictive Models for Urban Transportation
The book emphasizes the predictive models of Big Data, Genetic Algorithm and IoT with a case study. It also covers an Intelligent Traffic Light Controller and Deviation System, which can assist in modernizing the traffic system to smart traffic management system.
AI Data Privacy and Protection
Empowers business leaders and IT professionals with a deep understanding of the capabilities challenges and capacity of AI-driven data solutions. This book explores the rapidly evolving intersection of artificial intelligence (AI) and data management. By highlighting best practices case studies and future trends it provides a roadmap for organizations striving to harness AI's power in managing and leveraging their data for competitive advantage. This roadmap encompasses the monitoring detection and response required in areas of AI security risk management ethics privacy ethics and regulations. At the confluence of artificial intelligence and data management lies a transformative potential that promises to redefine the future of business governance and innovation. This book delves deep into this nexus unraveling its complexities and illuminating its vast possibilities. Through expert insights real-world examples and forward-thinking analyses we embark on a journey to explore the transformative power of AI in data management the ethical considerations it brings forth and the strategic imperatives for businesses in the AI era. It's not just about understanding technology-it's about envisioning a future where data powered by AI becomes the cornerstone of decision-making strategy and value creation from the practitioner to the Board of Directors. We wrote this book for a diverse audience encompassing business leaders aiming to integrate AI into their strategic vision IT professionals striving to stay ahead in the dynamic realm of data management data scientists eager to leverage AI's transformative capabilities and students venturing into the world of AI and data. It is equally relevant for policymakers consultants and educators interested in the broader implications of AI-driven data solutions. By focusing on a balance of conceptual knowledge practical insights and future trends this book ensures that readers from various backgrounds and expertise levels find content that resonates with their interests and professional needs. Whether you're a seasoned executive an emerging tech enthusiast or someone curious about the AI-driven future this book offers a comprehensive lens through which to view and engage with the evolving landscape of AI and data management.
Artificial Intelligence in Highway Safety
Artificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend.Material supplementing the book can be found at https: //github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes.
Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
The design, construction, and upkeep of infrastructure is comprised of a multitude of dimensions spanning a highly complex paradigm of interconnected opportunities and challenges. While traditional methods fall short of adequately accounting for such complexity, artificial intelligence (AI) presents novel and out-of-the-box solutions that effectively tackle the growing demands of our infrastructure. The convergence between AI and civil engineering is an emerging frontier with tremendous potential.The book is likely to provide a boost to the state of infrastructure engineering by fostering a new look at civil engineering that capitalizes on AI as its main driver. It highlights the ongoing push to adopt and leverage AI to realize contemporary, intelligent, safe, and resilient infrastructure. The book comprises interdisciplinary and novel works from across the globe. It presents findings from innovative efforts supplemented with physical tests, numerical simulations, and case studies - all of which can be used as benchmarks to carry out future experiments and/or facilitate the development of future AI models in structural engineering, traffic engineering, construction engineering, and construction materials.The book will serve as a guide for a wide range of audiences, including senior undergraduate and graduate students, professionals, and government officials of civil, traffic, and computer engineering backgrounds, as well as for those engaged in urban planning and human sciences.
Applied Learning Algorithms for Intelligent Iot
This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics: Cognitive machines and devices Cyber physical systems (CPS) The Internet of Things (IoT) and industrial use cases Industry 4.0 for smarter manufacturing Predictive and prescriptive insights for smarter systems Machine vision and intelligence Natural interfaces K-means clustering algorithm Support vector machine (SVM) algorithm A priori algorithms Linear and logistic regression Applied Learning Algorithms for Intelligent IoT clearly articulates ML and DL algorithms that can be used to unearth predictive and prescriptive insights out of Big Data. Transforming raw data into information and relevant knowledge is gaining prominence with the availability of data processing and mining, analytics algorithms, platforms, frameworks, and other accelerators discussed in the book. Now, with the emergence of machine learning algorithms, the field of data analytics is bound to reach new heights.This book will serve as a comprehensive guide for AI researchers, faculty members, and IT professionals. Every chapter will discuss one ML algorithm, its origin, challenges, and benefits, as well as a sample industry use case for explaining the algorithm in detail. The book's detailed and deeper dive into ML and DL algorithms using a practical use case can foster innovative research.
Medical Internet of Things
This book is an attempt to explore new ideas and novel techniques in area of Medical Internet of Things apart from basic concepts. It intends to offer novel advances and applications of MIOT in a precise and clear manner to the research community to achieve in depth knowledge in the field.
Cloud and Fog Computing Platforms for Internet of Things
Fog, Cloud Computing and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications.
Edge Computing and Capability-Oriented Architecture
This book is for everyone who is interested in understanding what ubiquitous and edge computing means, why it is growing in importance and its opportunities to you as a technologist or decision maker.
Smart Proxy Modeling
Smart proxy models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes. This book focuses on smart proxy modeling and teaches readers to develop smart proxy models using artificial intelligence and machine learning.
Internet of Things and Data Mining for Modern Engineering and Healthcare Applications
This book focusses on the Internet of Things (IoT) and Data Mining for Modern Engineering and Healthcare Applications and the recent technological advancements in Microwave Engineering, Communication and applicability of newly developed Solid State Technologies in Bio-medical Engineering and Health-Care.The Reader will be able to know the recent advancements in Microwave Engineering including novel techniques in Microwave Antenna Design and various aspects of Microwave Propagation. This book aims to showcase, the various aspects of Communication, Networking, Data Mining, Computational Biology, Bioinformatics, Bio-Statistics and Machine Learning.In this book, recent trends in Solid State Technologies, VLSI and applicability of modern Electronic Devices in Bio-informatics and Health-Care is focused. Furthermore, this book showcases the modern optimization techniques in Power System Engineering, Machine Design and Power Systems.This Book highlights the Internet of Things (IoT) and Data Mining for Modern Engineering and Healthcare Applications and the recent technological advancements in Microwave Engineering, Communication and applicability of newly developed Solid State Technologies in Bio-medical Engineering and Health-Care for day-to-day applications.Societal benefits of Microwave Technologies for smooth and hustle-free life are also areas of major focus. Microwave Engineering includes recent advancements and novel techniques in Microwave Antenna Design and various aspects of Microwave Propagation.Day-to-Day applicability of modern communication and networking technologies are a matter of prime concern. This book aims to showcase, the various aspects of Communication, Networking, Data Mining, Computational Biology, Bioinformatics, Bio-Statistics and Machine Learning.Role of Solid Sate Engineering in development of modern electronic gadgets are discussed. In this book, recent trends in Solid State Technologies, VLSI and applicability of modern Electronic Devices in Bio-informatics and Biosensing Devices for Smart Health care are also discussed.Features: This book features Internet of Things (IoT) and Data Mining for Modern Engineering and Healthcare Applications and the recent technological advancements in Microwave Engineering, Communication and applicability of newly developed Solid State Technologies in Bio-medical Engineering and Smart Health-Care Technologies Showcases the novel techniques in Internet of Things (IoT) integrated Microwave Antenna Design and various aspects of Microwave Communication Highlights the role of Internet of Things (IoT) various aspects of Communication, Networking, Data Mining, Computational Biology, Bioinformatics, Bio-Statistics and Machine Learning Reviews the role of Internet of Things (IoT) in Solid State Technologies, VLSI and applicability of modern Electronic Devices in Bio-informatics and Health-Care In this book, role of Internet of Things (IoT) in Power System Engineering, Optics, RF and Microwave Energy Harvesting and Smart Biosensing Technologies are also highlighted
