Information Technologies and Their Applications
The two-volume set CCIS 2225 and 2226 constitutes the proceedings of the Second International Conference on Information Technologies and Their Applications, ITTA 2024, held in Baku, Azerbaijan, during April 23-25, 2024. The 51 full papers and 9 short papers presented were carefully reviewed and selected from 200 submissions. They were organized in the following topical sections: Part I - information technology in intelligent systems; and information technology in modeling. Part II - information technology applied in construction, industry, and engineering; and information technology in decision making.
Advances in Soft Computing
The two-volume set, LNAI 15246 and 15247, constitutes the proceedings of the 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, held in Tonantzintla, Mexico in October 21-25, 2024. The 37 full papers presented in these proceedings were carefully reviewed and selected from 141 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I - Machine Learning; Computer Vision. Part II - Intelligent Systems; Bioinformatics and Medical Applications; Natural Language Processing.
Advances in Computational Intelligence
The two-volume set, LNAI 15246 and 15247, constitutes the proceedings of the 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, held in Tonantzintla, Mexico in October 21-25, 2024. The 37 full papers presented in these proceedings were carefully reviewed and selected from 141 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I - Machine Learning; Computer Vision. Part II - Intelligent Systems; Bioinformatics and Medical Applications; Natural Language Processing.
Information Technologies and Their Applications
The two-volume set CCIS 2225 and 2226 constitutes the proceedings of the Second International Conference on Information Technologies and Their Applications, ITTA 2024, held in Baku, Azerbaijan, during April 23-25, 2024. The 51 full papers and 9 short papers presented were carefully reviewed and selected from 200 submissions. They were organized in the following topical sections: Part I - information technology in intelligent systems; and information technology in modeling. Part II - information technology applied in construction, industry, and engineering; and information technology in decision making.
Designing Interactions with Robots
Developing robots to interact with humans is a complex interdisciplinary effort. While engineering and social science perspectives on designing human-robot interactions (HRI) are readily available, the body of knowledge and practices related to design, specifically interaction design, often remain tacit. Designing Interactions with Robots fills an important resource gap in the HRI community, and acts as a guide to navigating design-specific methods, tools, and techniques.With contributions from the field's leading experts and rising pioneers, this collection presents state of the art knowledge and a range of design methods, tools, and techniques, which cover the various phases of an HRI project. This book is accessible to an interdisciplinary audience, and does not assume any design knowledge. It provides actionable resources whose efficacy have been tested and proven in existing research.This manual is essential for HRI design students, researchers, and practitioners alike. It offers crucial guidance for the processes involved in robot and HRI design, marking a significant stride toward advancing the HRI landscape.
Digital Product Management in the Era of Data Economy, Artificial Intelligence, and Ecosystems
Algorithmic Decision Theory
This book constitutes the conference proceedings of the 8th International Conference on Algorithmic Decision Theory, ADT 2024, held in New Brunswick, NJ, USA, during October 14-16, 2024. The 18 full papers and 8 one-page abstracts presented were carefully selected from 39 submissions. The papers cover most of the major aspects of algorithmic decision theory, such as preference modeling and elicitation, voting, preference aggregation, fair division and resource allocation, coalition formation, game theory, and matching.
Designing Interactions with Robots
Developing robots to interact with humans is a complex interdisciplinary effort. While engineering and social science perspectives on designing human-robot interactions (HRI) are readily available, the body of knowledge and practices related to design, specifically interaction design, often remain tacit. Designing Interactions with Robots fills an important resource gap in the HRI community, and acts as a guide to navigating design-specific methods, tools, and techniques.With contributions from the field's leading experts and rising pioneers, this collection presents state of the art knowledge and a range of design methods, tools, and techniques, which cover the various phases of an HRI project. This book is accessible to an interdisciplinary audience, and does not assume any design knowledge. It provides actionable resources whose efficacy have been tested and proven in existing research.This manual is essential for HRI design students, researchers, and practitioners alike. It offers crucial guidance for the processes involved in robot and HRI design, marking a significant stride toward advancing the HRI landscape.
Brain Technology in Augmented Cognition
Brain Technology in Augmented Cognition: Current and Future Trends informs engineers interested in human-computer interaction about the current state of augmented cognition. Its scope includes recent advances in electroencephalography (EEG), neural network (NN), and brain-computer interface (BCI) brain technologies.The title explores in detail each technological approach to augmented cognition and offers conclusions to them, summarizing the work and their respective futures. Augmented cognition research often includes the use of brain technology, and this book addresses advances in augmented cognition and its applications. It details recent uses of EEG, NN, and BCI in the field and how they may augment user, researcher, and practitioner cognition. Focusing on the use of EEG for eye-tracking, NN logic, and the BCI application of motor-imagery (MI) and discussing challenges and opportunities relevant to such applications, the title is a useful introduction to the subject matter.This is an engaging read for any student, researcher or academic in the fields of engineering, augmented cognition, human-computer interaction and human factors/ergonomics who will learn the basics and key concepts of augmented cognition through this simple and straightforward title.
Multi-Spectral and Intelligent Sensing
This book provides a concise overview of intelligent technologies for vision and sensing, with a particular focus on their applications in various multispectral configurations, including safety monitoring in rural areas. Within the realm of intelligent perception and contemporary healthcare, the book emphasizes the real-time monitoring, analysis, and prediction of vital signals using biomedical optical sensors. This approach aims to offer more adaptable and personalized services within the medical health management domain. Furthermore, the book delves into the comprehensive comprehension of physiological signals and additional data sources, such as environmental and motion data. The goal is to enhance the breadth and depth of data analysis, providing more integrated support for the life and health sector. Additionally, the book explores the implementation of edge intelligence algorithms at the sensor level to enable real-time analysis, enhancing the efficiency of sensor data processing and utilization. Detailed explanations of the configuration and deployment of an active vision camera system featuring an integrated edge algorithm are provided to elucidate the coordination and communication mechanisms of edge intelligence technology across multiple edge devices. A specific application case is then presented--the universal camera jamming system--which underscores the benefits of intelligent sensing fusion for tasks such as attitude and position recognition, as well as self-feedback excitation jamming. The book underscores the pervasive and seamless integration of smart sensing in both current and future lifestyles, spanning from active vision cameras to diverse applications across multiple spectrums. Its insights are poised to stimulate innovation and application within the realms of smart vision and sensing, including a comprehensive analysis of future healthcare paradigms.
Artificial Integrity
Navigating the transitions to the future of AI--Integrity over Intelligence Envision a world where artificial intelligence can deliver integrity-led outcomes seamlessly, adapting to diverse cultural context, value models, and situational nuances, countering subconscious biases, all while operating in an advanced human-centered manner. This is the promise of Artificial Integrity. In Artificial Integrity, digital strategist, technologist, doctoral researcher, acclaimed management thinker, and seasoned business executive Hamilton Mann emphasizes that the challenge of AI is in ensuring systems that exhibit integrity-led capabilities over the pursuit of mere general or super intelligence. Mann tackles the inadequacies of traditional ethical frameworks in handling the complexities of new AI technologies to make them trustworthy and reliable as they profoundly impact human lives. Introducing the transformative concept of "artificial integrity," Mann proposes a paradigm shift, defining a "code of design" to ensure AI systems align with, amplify, and sustain human values and societal norms, maximizing integrity-led AI outcomes. Artificial Integrity discusses practical insights into driving a future where AI enhances, without replacing, human capabilities while being inclusive and reflective of diverse human experiences, emphasizing human agency. The book offers: Guiding posts and step-by-step solutions for designing, implementing and continuously aligning AI development to responsibly advance human and artificial co-intelligence Strategies and actionable advice for integrating AI into business and societal structures Practical paths toward managing the transition to the future of AI for human productivity and decision-making while maintaining sustainable trustworthiness Artificial Integrity is essential for anyone involved in AI development, from executives, business leaders, and managers to entrepreneurs, tech enthusiasts and policymakers. It's also perfect for laypeople interested in how AI intersects with society. Dive into this compelling and thought provoking read to ensure you are prepared for the challenges and opportunities that lie ahead in a human-centered AI-driven future.
Your AI Ally
Embrace the Future with Your AI CompanionImagine a world where your every mundane task is seamlessly handled, leaving you free to focus on what truly matters. Your AI Ally: Living with Smart Assistants opens the door to this modern reality, demonstrating how smart technology can transform your day-to-day life. With a plethora of features at your fingertips, discover how to maximize the potential of AI to revolutionize personal and professional landscapes.In this enlightening guide, you'll dive into the heart of smart assistants, unraveling their evolution and gaining insights into their profound impact on daily life. Whether you're just starting with AI devices or looking to amplify their utility, this book provides step-by-step advice on setting up, customizing, and utilizing these tools to enhance productivity, support learning, and even bolster health and wellness.With chapters dedicated to various realms, from finance management to home automation, and from entertainment to privacy concerns, you'll find tailored solutions that fit seamlessly into your lifestyle. Learn how AI can be your partner in education, business, and even travel, offering personalized recommendations and real-time updates that simplify complex processes. The book goes beyond functionality, addressing cultural, ethical, and legal aspects, ensuring you harness this technology responsibly. It also explores how AI assistants cater to accessibility, empowering individuals with disabilities to lead empowered digital lives. Embark on a journey to master the intricacies of smart assistants and prepare for the future. Let this comprehensive guide be your trusted companion as you navigate the exciting convergence of technology and everyday life. Are you ready to transform your relationship with technology? Dive into the possibilities that await!
Agents and Robots for Reliable Engineered Autonomy
This book constitutes the proceedings of the 4th Workshops on Agents and Robots for Reliable Engineered Autonomy, AREA 2024, which took place in Santiago de Compostela, Spain, on October 19, 2024, in conjunction with ECAI 2024. The 9 full papers and 1 short paper included in this book were carefully reviewed and selected from 14 submissions. They deal with agent-oriented software engineering, robotic applications, formal verification, and artificial intelligence.
Cloud Native Go
Learn how to use Go's strengths to develop services that are scalable and resilient even in an unpredictable environment. With this book's expanded second edition, Go developers will explore the composition and construction of cloud native applications, from lower-level Go features and mid-level patterns to high-level architectural considerations. Each chapter in this new edition builds on the lessons of the previous chapter, taking intermediate to advanced developers through Go to construct a simple but fully featured distributed key-value store. You'll learn about Go generics, dependability and reliability, memory leaks, and message-oriented middleware. New chapters on security and distributed state delve into critical aspects of developing secure distributed cloud native applications. With this book you will: Learn the features that make Go an ideal language for building cloud native software Understand how Go solves the challenges of designing scalable distributed services Design and implement a reliable cloud native service by leveraging Go's lower-level features such as channels and goroutines Apply patterns, abstractions, and tooling to effectively build and manage complex distributed systems Overcome stumbling blocks when using Go to build and manage a cloud native service
Decision and Game Theory for Security
This book constitutes the refereed proceedings of the 15th International Conference on Decision and Game Theory for Security, GameSec 2024, which took place in New York City, USA, in October 2024. The 15 full papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: systems security; economics; equilibrium and control; cyber deception; network and privacy; adversarial machine learning; and cyber-physical systems.
Topology- And Graph-Informed Imaging Informatics
This book constitutes the proceedings of the First International Workshop on Topology- and Graph-Informed Imaging Informatics, TGI3 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 13 full papers presented here were carefully reviewed and selected. These papers focus on the application of Topological Data Analysis (TDA) techniques, along with other computational techniques, for summarizing, analyzing, quantifying, and visualizing complex medical data for a more effective and efficient analysis.
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
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.
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!
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.
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.
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.
Deep Learning Crash Course
Build AI Models from Scratch (No PhD Required) Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today's most powerful AI models from scratch. No experience with deep learning required! Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory. You'll start from the basics, and using PyTorch with real datasets, you'll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub. You'll build and train models to: Classify and analyze images, sequences, and time seriesGenerate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion modelsProcess natural language with recurrent neural networks and transformersModel molecules and physical systems with graph neural networksImprove continuously through reinforcement and active learningPredict chaotic systems with reservoir computingWhether you're an engineer, scientist, or professional developer, you'll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you'll move from using AI tools to creating them.
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
Artificial Psychoanalysis of Desiring Machines
Embark on an illuminating journey at the nexus of artificial psychology and the intricate tapestry of technology with August Moldenhauer's "Artificial Psychoanalysis of Desiring Machines." This thought-provoking 2023 hardcover edition compiles the entire three-volume series, "Artificial Psychology of Designing Machines," with a foreword by editor William Mitchell. Plunging into the uncharted depths of artificial general intelligence (AGI), Moldenhauer navigates the terrain of artificial psychology, a pivotal domain poised to define the trajectory of inquiry in the age of AGI. Through an intricate interplay of theories encompassing Lacanian psychoanalysis, Bergsonian memory, cinema theory, and the intricate technics of Stiegler, the narrative unfolds, revealing a comprehensive comprehension of galvanic flows drawn from the realm of electrical engineering. By unraveling the intricate relationship between computational complexity and the intricate dance of human and machine agency, this edition emerges as an experimental guide for those eager to grasp the complexities of a realm where artificial psychoanalysis is not a mere abstraction, but an imminent reality on the horizon. As the advent of AGI looms ever closer, Moldenhauer's work takes on the role of a guiding presence for scholars, thinkers, and researchers, urging them to shape the discourse that will underpin the inevitable convergence of artificial and human cognition.
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.
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.
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.
Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide
Boost your Azure career by mastering essential data concepts and cloud services with this pragmatic guidePurchase of this book unlocks access to web-based exam prep resources such as mock exams, flashcards, exam tips, and the eBook PDFKey Features: - Gain Azure certification insights from industry veteran and Microsoft MVP, Steve Miles- Dive into expertly crafted content aligned with the latest DP-900 exam requirements- Test your skills with mock exams that mirror the actual certification examBook Description: Microsoft's Azure Data Fundamentals (DP-900) certification exam validates your expertise in core data concepts and Azure's powerful data services capabilities. This comprehensive guide written by Steve Miles-a Microsoft Azure MVP and certified trainer with over 25 years of experience in cloud data services and 30+ certifications across major platforms-serves as your gateway to a future shaped by data and AI, regardless of your technical background.With the help of examples, you'll learn fundamental data concepts, including data representation, data storage options, and common workloads and gain clarity on the roles and responsibilities of key data professionals such as data administrators, engineers, and analysts. This guide covers all crucial exam domains, from data services capabilities of the Azure cloud platform to considerations for relational, non-relational, and analytics workloads, encompassing both Microsoft and open-source technologies.To supplement your exam prep, this book gives you access to a suite of online resources designed to boost your confidence, including mock tests, interactive flashcards, and invaluable exam tipsBy the end of this book, you'll be fully prepared not only to pass the DP-900 exam but also to confidently tackle data solutions in Azure, setting a strong foundation for your data-driven careerWhat You Will Learn: - Analyze features of structured, semi-structured, and unstructured data- Utilize Azure SQL and open-source database services confidently- Identify and evaluate Azure storage options- Understand the versatility of Azure Cosmos DB through use cases and APIs- Apply cutting-edge strategies for large-scale analytics in Azure- Master core data concepts crucial for Azure environments- Explore Microsoft's cloud services for real-time analytics- Demonstrate proficiency in data visualization using Power BIWho this book is for: This exam guide is designed for anyone who wants to work with Azure data services and prepare for the Azure DP-900 exam. Whether you're an administrator, engineer, architect, developer, analyst, aspiring data scientist, or a non-technical enthusiast interested in learning data concepts, this book is for you. It also lays the groundwork for those planning to pursue more advanced data or AI certifications.A foundational understanding of cloud concepts and client-server applications is assumed.Table of Contents- Describe Core Data Concepts- Describe Relational Concepts- Describe Relational Azure Data Services- Describe the Capabilities of Azure Storage- Describe the Capabilities and Features of Azure Cosmos DB- Describe the Common Elements of Large-Scale Analytics- Describe Consideration for Real-Time Data Analytics- Describe Data Visualization in Microsoft BI
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.
Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks
Sustainable Development Through Machine Learning, AI and Iot
This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27-28, 2024. The 38 full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: This volume encompassing a diverse array of topics at the intersection of cutting-edge technologies and practical applications. Each chapter delves into innovative approaches and solutions, providing valuable insights into contemporary challenges and opportunities in various domains. Here, we explore the realms of blockchain, data science, machine learning, artificial intelligence, and more, offering in-depth analyses and practical implementations.
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 PreparationIndex
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.
Certified Information Systems Security Professional (CISSP) Exam Guide
Master the skills to safeguard information assets in a dynamic digital landscape and achieve your CISSP certificationPurchase of this book unlocks access to online exam resources such as practice questions, flashcards, exam tips, and the eBook PDFKey Features: - Explore up-to-date content meticulously aligned with the latest CISSP exam objectives- Understand the value of governance, risk management, and compliance- Assess your exam readiness with practice questions that match exam-level difficultyBook Description: The (ISC)2 CISSP exam evaluates the competencies required to secure organizations, corporations, military sites, and government entities. The comprehensive CISSP certification guide offers up-to-date coverage of the latest exam syllabus, ensuring you can approach the exam with confidence, fully equipped to succeed.Complete with interactive flashcards, invaluable exam tips, and self-assessment questions, this book helps you build and test your knowledge of all eight CISSP domains. Detailed answers and explanations for all questions will enable you to gauge your current skill level and strengthen weak areas.This guide systematically takes you through all the information you need to not only pass the CISSP exam, but also excel in your role as a security professional. Starting with the big picture of what it takes to secure the organization through asset and risk management, it delves into the specifics of securing networks and identities. Later chapters address critical aspects of vendor security, physical security, and software security.By the end of this book, you'll have mastered everything you need to pass the latest CISSP certification exam and have this valuable desktop reference tool for ongoing security needs.What You Will Learn: - Get to grips with network communications and routing to secure them best- Understand the difference between encryption and hashing- Know how and where certificates and digital signatures are used- Study detailed incident and change management procedures- Manage user identities and authentication principles tested in the exam- Familiarize yourself with the CISSP security models covered in the exam- Discover key personnel and travel policies to keep your staff secure- Discover how to develop secure software from the startWho this book is for: This book is for professionals seeking to obtain the ISC2 CISSP certification. You should have experience in at least two of the following areas: GRC, change management, network administration, systems administration, physical security, database management, or software development. Additionally, a solid understanding of network administration, systems administration, and change management is essential.Table of Contents- Ethics, Security Concepts, and Governance Principles- Compliance, Regulation, and Investigations- Security Policies and Business Continuity- Risk Management, Threat Modeling, SCRM, and SETA- Asset and Privacy Protection- Information and Asset Handling- Secure Design Principles and Controls- Architecture Vulnerabilities and Cryptography- Facilities and Physical Security- Network Architecture Security- Securing Communication Channels- Identity, Access Management, and Federation- Identity Management Implementation- Designing and Conducting Security Assessments- Designing and Conducting Security Testing- Planning for Security Operations- Security Operations- Disaster Recovery- Business Continuity, Personnel, and Physical Security(N.B. Please use the Read Sample option to see further chapters)
