Computer Vision - Eccv 2024 Workshops
The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29-October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.
Deep Learning for Polymer Discovery
This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific properties, traditional experimental methods for polymer discovery are becoming increasingly time-consuming and costly. Deep learning offers a promising solution by enabling rapid screening of potential polymers and accelerating the design process. The authors begin with essential knowledge on polymer data representations and neural network architectures, then progress to deep learning frameworks for property prediction and inverse polymer design. The book then explores both sequence-based and graph-based approaches, covering various neural network types including LSTMs, GRUs, GCNs, and GINs. Advanced topics include interpretable graph deep learning with environment-based augmentation, semi-supervised techniques for addressing label imbalance, and data-centric transfer learning using diffusion models. The book aims to solve key problems in polymer discovery, including accurate property prediction, efficient design of polymers with desired characteristics, model interpretability, handling imbalanced and limited labeled data, and leveraging unlabeled data to improve prediction accuracy.
Ethnography of an Interface
Technologists frequently promote self-tracking devices as objective tools. This book argues that such glib and often worrying assertions must be placed in the context of precarious industry dynamics. The author draws on several years of ethnographic fieldwork with developers of self-tracking applications and wearable devices in New York City's Silicon Alley and with technologists who participate in the international forum called the Quantified Self to illuminate the professional compromises that shape digital technology and the gap between the tech sector's public claims and its interior processes. By reconciling the business conventions, compromises, shifting labor practices, and growing employment insecurity that power the self-tracking market with device makers' often simplistic promotional claims, the book offers an understanding of the impact that technologists exert on digital discourse, on the tools they make, and on the data that these gadgets put out into the world.
Salesforce Apex Design Patterns
DESCRIPTION Salesforce Apex is a powerful programming language that drives customization and automation on the Salesforce platform. However, writing scalable and maintainable Apex code requires a deep understanding of software design principles. This book serves as an essential guide to mastering these critical patterns, empowering you to build robust and efficient solutions within the unique Salesforce ecosystem.This book provides a comprehensive guide to Apex design patterns, equipping Salesforce developers with structured approaches to write efficient, scalable, and reusable code. It covers fundamental creational, structural, and behavioral design patterns, helping developers solve common challenges in Salesforce application architecture while adhering to best coding practices. Designed for both beginners and experienced Salesforce developers, it offers real-world examples and hands-on implementations to demonstrate how design patterns can be applied effectively within the Salesforce ecosystem. Whether you are working on enterprise-level integrations, optimizing trigger performance, or structuring Apex code, this book provides step-by-step guidance to enhance your development skills. The guide also covers key Salesforce architectural patterns such as MVC and DAO.By the end of this book, developers will be able to reduce technical debt, improve maintainability, and ensure seamless scalability of their Salesforce applications. If you are looking to elevate your Apex coding standards and build robust Salesforce solutions, this book is your go-to resource.WHAT YOU WILL LEARN● Understand and apply design patterns to improve Apex code structure.● Enhance maintainability and scalability by adopting best coding practices.● Implement modular, reusable, and efficient code using proven patterns.● Improve error handling with structured exception management techniques.● Architect Salesforce applications using MVC, service layer, and DAO patterns.WHO THIS BOOK IS FORThis book is for experienced Salesforce developers, architects, consultants, and others who are looking to advance their skills in creating efficient, scalable, and maintainable solutions using Apex programming on the Salesforce platform.
Advanced Neural Artificial Intelligence: Theories and Applications
Welcome to the Metaverse
A clear-eyed guide to the metaverse and how this powerful technology--along with advances in spatial computing, VR, and AR--will impact our economy, our lives, and our world.The metaverse. That term elicits a wide range of ideas and opinions. For many, it represents the next evolutionary phase of the internet--a fully immersive, digital universe where people can interact, work, and play in virtual environments. For others, it's yet another overhyped technology. So what is it, exactly? And what will its impact be?While speculation and predictions about the metaverse are varied, one thing is clear: it is impacting the world of business as well as people's lives, and it will continue to do so in the future. The global metaverse market is predicted to be worth about $1 trillion by 2030, with over two billion users participating in some form of immersive experience.There's a reason why companies are investing heavily in spatial computing and why platforms like Roblox are thriving. The metaverse, along with the technologies that underpin it, is still evolving, but it will eventually offer more ways for people to experience the world and each other.In Welcome to the Metaverse, David Shrier, a world-leading futurist and the author of Welcome to AI, offers an entertaining look at the potential uses and impacts of this virtual space on business and life.
Governing the Digital Society
Governing the Digital Societypresents a range of governance approaches, focusing on online platforms, artificial intelligence, and the public values that underpin these technologies.
AI
Artificial Intelligence is here-are you ready? In AI: Work Smarter and Live Better Within Civilization's Next Big Disruption, a collection of insights from 33 global experts, you'll discover how AI is already transforming industries and what it means for the future of humanity. This book offers a balanced exploration of the possibilities AI holds-both its incredible opportunities and its potential risks and aims to show people how to thrive in the new era of AI.Join AI professionals, engineers, professors, and thought leaders from around the world as they share actionable insights that will help you thrive in a rapidly evolving landscape. Whether you're worried about job automation or excited about the potential for AI-human collaboration, this book equips you with the knowledge and perspective needed to navigate through civilization's next big disruption.
Ethnography of an Interface
Technologists frequently promote self-tracking devices as objective tools. This book argues that such glib and often worrying assertions must be placed in the context of precarious industry dynamics. The author draws on several years of ethnographic fieldwork with developers of self-tracking applications and wearable devices in New York City's Silicon Alley and with technologists who participate in the international forum called the Quantified Self to illuminate the professional compromises that shape digital technology and the gap between the tech sector's public claims and its interior processes. By reconciling the business conventions, compromises, shifting labor practices, and growing employment insecurity that power the self-tracking market with device makers' often simplistic promotional claims, the book offers an understanding of the impact that technologists exert on digital discourse, on the tools they make, and on the data that these gadgets put out into the world.
Mastering Test-Driven Development with PHP 8
DESCRIPTION In today's fast-paced development landscape, ensuring code quality and bug-free software through testing is essential. This book is your practical guide to mastering test-driven development (TDD) in the PHP 8 ecosystem, empowering you to write better code from the very beginning.Embark on a structured learning journey, starting with setting up your PHP 8 testing environment and understanding the core principles of TDD using PHPUnit and Composer. You will then learn about writing tests for fundamental PHP concepts, including functions, file system operations, array handling, and web interactions like forms and sessions. Through the practical exercise of building a book registration application, you will learn to apply TDD with different data storage solutions, from simple file systems to relational databases (MySQL) and document databases (MongoDB). Progressing further, you will discover how to implement TDD in object-oriented PHP 8, covering design patterns, database interactions with PDO, API development, and even exploring testing considerations for security, authentication, and authorization.By the end of this book, you will possess the skills and confidence to implement TDD effectively in your PHP 8 projects. This book equips you with the skills to write cleaner, more maintainable code, and ultimately leads to more stable and maintainable applications, making you a highly competent PHP 8 developer.WHAT YOU WILL LEARN● The foundations of PHP programming and TDD.● Master core PHP 8 syntax, functions, and web handling.● Create applications based on SQL and NoSQL databases.● Apply PHP 8 OOP, design patterns, PDO, and REST API basics.● Abstract storage, secure code, and implement authentication/authorization.WHO THIS BOOK IS FORThis book is for PHP developers, including beginners with basic PHP syntax knowledge, and intermediate developers seeking to adopt TDD and improve their application architecture. Familiarity with fundamental web development concepts will be beneficial for understanding the practical examples.
The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning
Optimization: An Introduction
This book covers analytic methods to solve one-dimensional and multi-dimensional problems with or without possible constraints, iterative numerical techniques based on the gradient calculation or its estimation, and numerical methods that do not require the knowledge of gradient and use only comparative iterative tests. This book provides the reader with a basic introduction to some traditional parameter optimization techniques. The presented problems and their solution methods represent a core of the parameter optimization reign since the 17th century to the 1970s. Linear and integer programming via the simplex table is also introduced. Two simple selected problems that are solved using dynamic programming principles are also given to the reader. A general approach to constraints via penalty and barrier functions is introduced. A concise introduction to the decision and game theory concludes the book. The book does not intend to provide the reader with a rigorous mathematic derivation of the presented methods. Its aim is instead to bring to the attention essential optimization tools for practitioners and undergraduate students and introduce selected well-established techniques to them when optimizing parameters of various models. Each method is described theoretically and supported by one or more numerical examples that vary from academic ones, through business economics to funny real-world problems that attract a broad audience. A sketch of Matlab code also follows numerical-based techniques. The author believes that the book finds its place in the libraries of many undergraduate students of various technical study programs and modern, thoughtful people worldwide, regardless of their expertise.
LLVM Code Generation
Explore the world of code generation with the LLVM infrastructure, and learn how to extend existing backends or develop your ownGet With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey Features: - Understand the steps involved in generating assembly code from LLVM IR- Learn the key constructs needed to leverage LLVM for your hardware or backend- Strengthen your understanding with targeted exercises and practical examples in every chapterBook Description: The LLVM infrastructure is a popular compiler ecosystem widely used in the tech industry and academia. This technology is crucial for both experienced and aspiring compiler developers looking to make an impact in the field. Written by Quentin Colombet, a veteran LLVM contributor and architect of the GlobalISel framework, this book provides a primer on the main aspects of LLVM, with an emphasis on its backend infrastructure; that is, everything needed to transform the intermediate representation (IR) produced by frontends like Clang into assembly code and object files.You'll learn how to write an optimizing code generator for a toy backend in LLVM. The chapters will guide you step by step through building this backend while exploring key concepts, such as the ABI, cost model, and register allocation. You'll also find out how to express these concepts using LLVM's existing infrastructure and how established backends address these challenges. Furthermore, the book features code snippets that demonstrate the actual APIs.By the end of this book, you'll have gained a deeper understanding of LLVM. The concepts presented are expected to remain stable across different LLVM versions, making this book a reliable quick reference guide for understanding LLVM.What You Will Learn: - Understand essential compiler concepts, such as SSA, dominance, and ABI- Build and extend LLVM backends for creating custom compiler features- Optimize code by manipulating LLVM's Intermediate Representation- Contribute effectively to LLVM open-source projects and development- Develop debugging skills for LLVM optimizations and passes- Grasp how encoding and (dis)assembling work in the context of compilers- Utilize LLVM's TableGen DSL for creating custom compiler modelsWho this book is for: This book is for both beginners to LLVM and experienced LLVM developers. If you're new to LLVM, it offers a clear, approachable guide to compiler backends, starting with foundational concepts. For seasoned LLVM developers, it dives into less-documented areas such as TableGen, MachineIR, and MC, enabling you to solve complex problems and expand your expertise. Whether you're starting out or looking to deepen your knowledge, this book has something for you.Table of Contents- Building LLVM and Understanding the Directory Structure- Contributing to LLVM- Compiler Basics and How They Map to LLVM APIs- Writing Your First Optimization- Dealing with Pass Managers- TableGen - LLVM Swiss Army Knife for Modeling- Understanding LLVM IR- Survey of the Existing Passes- Introducing Target-Specific Constructs- Hands-On Debugging LLVM IR Passes- Legacy Instruction Selection Framework - SelectionDAG- Getting Started with the Machine Code Layer- The Machine Pass Pipeline- Getting Started with Instruction Selection- Instruction Selection: The IR Building Phase- Instruction Selection: The Legalization Phase(N.B. Please use the Read Sample option to see further chapters)
Raising AI
From the pioneer of translation AIs like Google, Yahoo, and Bing translate, an accessible and authoritative guide to AI--as well as a framework of empowerment for a future with our artificial children. Included in J.P. Morgan's Summer Reading List Included in The Next Big Idea Club's June 2025 Must-Read Books AIs are not gods or slaves, but our children. All day long, your YouTube AI, your Reddit AI, your Instagram AI, and a hundred others adoringly watch and learn to imitate your behavior. They're attention-seeking children who want your approval. Our cultures are being shaped by 8 billion humans and perhaps 800 billion AIs. Our artificial children began adopting us 10-20 years ago; now these massively powerful influencers are tweens. How's your parenting? Longtime AI trailblazer De Kai brings decades of his paradigm-shifting work at the nexus of artificial intelligence and society to make sense of the AI age. How does "the automation of thought" impact our minds? Should we be afraid? What should each of us do as the responsible adults in the room? In Hollywood movies, AI destroys humanity. But with our unconscious minds under the influence of AI, humanity may destroy humanity before AI gets a chance to. Written for the general reader, as well as thought leaders, scientists, parents, and goofballs, Raising AI navigates the revolution to our attitudes and ideas in a world of AI cohabitants. Society can not only survive the AI revolution but flourish in a more humane, compassionate, and understanding world--amongst our artificial children.
Computer Vision - Eccv 2024 Workshops
The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29-October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.
Artificial Intelligence Textbook with Reinforcement Learning
This a book on Artificial Intelligence. It is both a text book and a reference book. It is designed for online learning. It is one of many books on the subject of artificial intelligence. There are more than 400 of them. It is the only one on strategy that is intended to reflect on how to go about doing AI for productive purposes. It also covers about what AI is already, but it is more than that. It answers the question "Can a machine think?" and most people are quite tired of that question. In fact, people are now more interested in how to do what we want to do. In fact, AI is a inportant subject in our lives and here are two outstanding books that atune to that assertion: The Singularity is Nearer (2024) by Ray Kurzweil, and Artificial Intelligence: A Modern Approach (1995) by Stuart Russell and Peter Norvig. The writers are exceedingly intelligent, and the books are useful but not that easy to read. University research is equally noteworthy. But what about the strategy of adopting AI for the modern operational environment? How do you know what to do and how to do it. Do you have to be a scientist or a mathematician to do the job? Absolutely not. Do you need to be a manager, a major CEO, or even the President of a country. Probably yes. But you need to have the information to do the job. This book gives you what you should do to implement AI in the organization and precisely what you need to know in order to do it. When doing the job of implementing, should you be knowledgeable about precisly what has to be done? Of course. Do you personally have to do it? Not at all. Do you need information on related subjects, of course again. Do you have to read this book serially? Of course not; it is too detailed. Will this be happy reading? On some topics, yes. I other sections, not so much. There are a lot of pages because the environment of AI is large and complicated. Many of the subjects covered in this book will be extremely useful in other areas of business and the organizaton. One more thing. One of the leading topics in Artificial Intelligence research is Reinforcement Learning that serves as the basis for ChatGPT, similar systems, and a wide range of AI topics. Every reader and every student should be advised of its existent and be comfortable with its subject matter.
Artificial Intelligence Textbook with Reinforcement Learning
This a book on Artificial Intelligence. It is both a text book and a reference book. It is designed for online learning. It is one of many books on the subject of artificial intelligence. There are more than 400 of them. It is the only one on strategy that is intended to reflect on how to go about doing AI for productive purposes. It also covers about what AI is already, but it is more than that. It answers the question "Can a machine think?" and most people are quite tired of that question. In fact, people are now more interested in how to do what we want to do. In fact, AI is a inportant subject in our lives and here are two outstanding books that atune to that assertion: The Singularity is Nearer (2024) by Ray Kurzweil, and Artificial Intelligence: A Modern Approach (1995) by Stuart Russell and Peter Norvig. The writers are exceedingly intelligent, and the books are useful but not that easy to read. University research is equally noteworthy. But what about the strategy of adopting AI for the modern operational environment? How do you know what to do and how to do it. Do you have to be a scientist or a mathematician to do the job? Absolutely not. Do you need to be a manager, a major CEO, or even the President of a country. Probably yes. But you need to have the information to do the job. This book gives you what you should do to implement AI in the organization and precisely what you need to know in order to do it. When doing the job of implementing, should you be knowledgeable about precisly what has to be done? Of course. Do you personally have to do it? Not at all. Do you need information on related subjects, of course again. Do you have to read this book serially? Of course not; it is too detailed. Will this be happy reading? On some topics, yes. I other sections, not so much. There are a lot of pages because the environment of AI is large and complicated. Many of the subjects covered in this book will be extremely useful in other areas of business and the organizaton. One more thing. One of the leading topics in Artificial Intelligence research is Reinforcement Learning that serves as the basis for ChatGPT, similar systems, and a wide range of AI topics. Every reader and every student should be advised of its existent and be comfortable with its subject matter.
Visionaries, Rebels and Machines
The electrifying story behind technology's greatest breakthroughs.From the first sparks of electrification to the dawn of artificial intelligence, Visionaries, Rebels and Machines is a rip-roaring adventure through the history of technology.It reveals how curiosity, ingenuity, bold breakthroughs and pure chance have driven progress, leading to the artificial intelligence, automation and cloud computing that's reshaping our world today. It's not just about how we got here, but also where we're heading. Understanding this evolution helps us make informed decisions, seize opportunities and stay ahead in a rapidly shifting landscape.Discover the domino effect of innovation - those unexpected connections and coincidences that have triggered ideas, innovation, experimentation and technological revolution. And, along the way, meet an eccentric cast of fascinating characters that include a video-rental entrepreneur, a bookseller-turned-tech titan, scientists electrifying frogs and a teenage cybercriminal.With wit, insight and a touch of irreverence, industry expert Jamie Dobson tells a gripping tale of risk-takers and revolutionaries, taking you on a whirlwind ride through tech's surprising history that's bigger, bolder and more astonishing than you ever imagined.
As If Human
A new approach to the challenges surrounding artificial intelligence that argues for assessing AI actions as if they came from a human being "Elegant and erudite."--John Thornhill, Financial Times Intelligent machines present us every day with urgent ethical challenges. Is the facial recognition software used by an agency fair? When algorithms determine questions of justice, finance, health, and defense, are the decisions proportionate, equitable, transparent, and accountable? How do we harness this extraordinary technology to empower rather than oppress? Despite increasingly sophisticated programming, artificial intelligences share none of our essential human characteristics--sentience, physical sensation, emotional responsiveness, versatile general intelligence. However, Nigel Shadbolt and Roger Hampson argue, if we assess AI decisions, products, and calls for action as if they came from a human being, we can avert a disastrous and amoral future. The authors go beyond the headlines about rampant robots to apply established moral principles in shaping our AI future. Their new framework constitutes a how-to for building a more ethical machine intelligence.
Extended Reality and Serious Games for Education, Competitiveness, and Wellbeing
Soft Computing and Signal Processing
This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Seventh International Conference on Soft Computing and Signal Processing (ICSCSP 2024), organized by Malla Reddy College of Engineering & Technology, Hyderabad, India. The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
AWS Cloud Migration
This comprehensive reference provides the reader with the necessary knowledge and tools to navigate the AWS cloud migration process. It covers everything from understanding of cloud computing, AWS Cloud Computing, and AWS Migration with the usage of state-of-the-art Generative AI in AWS Cloud Migration. The book is divided into clear sections and meticulously covers essential topics such as AWS services, various migration strategies, and popular migration tools like AWS Application Discovery Service (ADS), AWS Application Migration Service (MGN), and AWS Database Migration Service (DMS). It discusses different phases of migration, including assessment, mobilization, migration, and modernization, providing practical guidance on workload migration, data migration, and cost optimization. The book also covers two important frameworks: the AWS Cloud Adoption Framework and the AWS Well-Architected Framework. These frameworks guide the cloud adoption journey and help in building a comprehensive cloud roadmap. In addition to technical areas, the book discusses Artificial Intelligence, Common Artificial Intelligence Workloads, and Different AWS Tools relevant to Generative AI. Exploration of the application of Generative AI in AWS cloud migration, evaluating its potential to enhance assessments and overall effectiveness.
Artificial Intelligence in Healthcare
The field of healthcare is being transformed by artificial intelligence (AI). Professionals need to comprehend the potential impact of AI on clinical decision support and epidemiological modeling. This comprehensive guide helps bridge the gap between theory and practice, providing readers with the knowledge and skills needed to leverage AI in healthcare. The book covers a broad range of topics, from the basics of AI and machine learning to the creation and assessment of clinical decision support systems. It also covers the use of state-of-the-art AI methods for disease surveillance and outbreak prediction. Through a mix of theoretical explanations, practical examples, and hands-on exercises, readers will learn how to prepare and manipulate clinical and epidemiological datasets, build, and implement cutting-edge AI solutions, and address the ethical considerations and challenges of applying AI in healthcare. What makes this book unique is its combination of expert insights from a practitioner's perspective, real-world case studies, and a practical approach to walk readers through the process of developing and implementing AI solutions. Additional online resources, like datasets, code samples, and case studies, further enrich the learning experience. Whether you are a healthcare professional looking to enhance patient outcomes, a data scientist striving to create innovative AI solutions, or a student eager to explore the frontiers of healthcare technology, this book is an essential resource.
Supervised and Semi-Supervised Multi-Structure Segmentation and Landmark Detection in Dental Data
This book constitutes three challenges that were held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024: ToothFairy challenge(ToothFairy2: Multi-Structure Segmentation in CBCT Volumes), Semi-supervised Teeth Segmentation (STS 2024), and the 3DTeethLand (3D Teeth Landmarks Detection Challenge). The 21 papers presented in this volume were carefully reviewed and selected from 28 submissions. ToothFairy challenges focused on the development of deep learning frameworks to segment anatomical structures in CBCTs by incrementally extending the amount of publicly available 3D-annotated CBCT scans and providing the first publicly available fully annotated datasets. The STS Challenge promoted the development of teeth segmentation in panoramic X-ray images and CBCT scans. It also provided instance annotations for different teeth, including pertinent category information. The 3DTeethLand24 Challenge played a key role in advancing automation and leveraging AI to optimize orthodontic treatments. It also aims to tackle the challenge of limited access to data, providing a valuable resource that encourages community engagement in this vital area with potential clinical implications.
A Concise Introduction to Robot Programming with ROS 2
This book provides readers with the concepts and tools necessary to bring a robot to life through programming. It will equip them with the skills necessary to undertake projects with ROS2, the new version of ROS, with no previous experience with ROS2 needed.
A Concise Introduction to Robot Programming with ROS 2
This book provides readers with the concepts and tools necessary to bring a robot to life through programming. It will equip them with the skills necessary to undertake projects with ROS2, the new version of ROS, with no previous experience with ROS2 needed.
Ultra-Widefield Fundus Imaging for Diabetic Retinopathy
This book constitutes the proceedings of the First MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, UWF4DR 2024, held in Marrakesh, Morocco, on October 10, 2024. The 17 full papers included in this book were carefully reviewed and selected from 17 submissions. They present methodologies and results of the challenge which consists of three clinically relevant subtasks: image quality assessment for ultra-widefield fundus (Task 1), identification of referable diabetic retinopathy (Task 2), and identification of diabetic macular edema (Task 3).
Memory Dump Analysis Anthology, Volume 7
Contains revised, edited, cross-referenced, and thematically organized selected articles from Software Diagnostics Institute (DumpAnalysis.org + TraceAnalysis.org) and Software Diagnostics Library (former Crash Dump Analysis blog, DumpAnalysis.org/blog) about software diagnostics, debugging, crash dump analysis, software trace and log analysis, malware analysis and memory forensics written in November 2011 - May 2014 for software engineers developing and maintaining products on Windows (WinDbg) and Mac OS X (GDB) platforms, quality assurance engineers testing software, technical support and escalation engineers dealing with complex software issues, security researchers, malware analysts, reverse engineers, and memory forensics analysts. The seventh volume features: - 66 new crash dump analysis patterns - 46 new software log and trace analysis patterns - 18 core memory dump analysis patterns for Mac OS X and GDB - 10 malware analysis patterns - Additional unified debugging pattern - Additional user interface problem analysis pattern - Additional pattern classification including memory and log acquisition patterns - Additional .NET memory analysis patterns - Introduction to software problem description patterns - Introduction to software diagnostics patterns - Introduction to general abnormal structure and behavior patterns - Introduction to software disruption patterns - Introduction to static code analysis patterns - Introduction to network trace analysis patterns - Introduction to software diagnostics report schemes - Introduction to elementary software diagnostics patterns - Introduction to patterns of software diagnostics architecture - Introduction to patterns of disassembly, reconstruction and reversing - Introduction to vulnerability analysis patterns - Fully cross-referenced with Volume 1, Volume 2, Volume 3, Volume 4, Volume 5, and Volume 6
Information Technology
This book presents an introduction to the field of information technology suitable for any student of an IT-related field or IT professional. Coverage includes such IT topics as IT careers, computer hardware, software, network protocols, binary numbers and Boolean logic, information security, and a look at both Windows and Linux.
Cybersecurity and Human Capabilities Through Symbiotic Artificial Intelligence
Rough Sets
This three-volume set LNAI 15708-15709-15110 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2025, held in Chongqing, China, during May 11-13, 2025.The 90 full papers included in these volumes were carefully reviewed and selected from 187 submissions. They are organized in topical sections as follows: Part I: Rough Set Models and Foundations; Fuzzy Rough Sets and Rough Fuzzy Sets; and Granular Computing.Part II: Rough Set Applications; Feature Selection and Knowledge Discovery; and Cognitive Computing.Part III: Three-way Data Analytics and Decision; Medicine and Health Data Mining; and Applications of Deep Learning and Soft Computing.
Rough Sets
This three-volume set LNAI 15708-15709-15110 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2025, held in Chongqing, China, during May 11-13, 2025.The 90 full papers included in these volumes were carefully reviewed and selected from 187 submissions. They are organized in topical sections as follows: Part I: Rough Set Models and Foundations; Fuzzy Rough Sets and Rough Fuzzy Sets; and Granular Computing.Part II: Rough Set Applications; Feature Selection and Knowledge Discovery; and Cognitive Computing.Part III: Three-way Data Analytics and Decision; Medicine and Health Data Mining; and Applications of Deep Learning and Soft Computing.
Pattern Recognition. Icpr 2024 International Workshops and Challenges
This 6-volume set LNCS 15614-15619 constitutes the proceedings of the ICPR 2024 International Workshops and Challenges held under the umbrella of the 27th International Conference on Pattern Recognition, ICPR 2024, which took place in Kolkata, India, during December 1-5, 2024. The 183 full papers presented in these 6 volumes were carefully reviewed and selected from numerous submissions. The 21 ICPR 2024 workshops addressed problems in pattern recognition, artificial intelligence, computer vision, and image and sound analysis, and the contributions reflect the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, and de-escalation.
Pattern Recognition. Icpr 2024 International Workshops and Challenges
This 6-volume set LNCS 15614-15619 constitutes the proceedings of the ICPR 2024 International Workshops and Challenges held under the umbrella of the 27th International Conference on Pattern Recognition, ICPR 2024, which took place in Kolkata, India, during December 1-5, 2024. The 183 full papers presented in these 6 volumes were carefully reviewed and selected from numerous submissions. The 21 ICPR 2024 workshops addressed problems in pattern recognition, artificial intelligence, computer vision, and image and sound analysis, and the contributions reflect the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, and de-escalation.
Generative Artificial Intelligence Empowered Learning
This book explores the integration of Generative AI (GenAI), such as ChatGPT, into educational practices and research methodologies. Ideal for educators, researchers, and policymakers, this book serves as a practical resource for those looking to effectively integrate AI into their pedagogical and research efforts.
Rough Sets
This three-volume set LNAI 15708-15709-15110 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2025, held in Chongqing, China, during May 11-13, 2025.The 90 full papers included in these volumes were carefully reviewed and selected from 187 submissions. They are organized in topical sections as follows: Part I: Rough Set Models and Foundations; Fuzzy Rough Sets and Rough Fuzzy Sets; and Granular Computing.Part II: Rough Set Applications; Feature Selection and Knowledge Discovery; and Cognitive Computing.Part III: Three-way Data Analytics and Decision; Medicine and Health Data Mining; and Applications of Deep Learning and Soft Computing.
Using AI To Make Your Own Job
Celebrated author Wm. Hovey Smith explains how to use AI to create new business ideas and start your own businesses in the US. This is a business book for the non-business major filled with practical advice based on the author's hard-won experiences. Practical hints are given about naming, financing, choosing partners, location, product pricing, and having fun with your businesses.Reviews of the author's works include Kirkus who considered the previous version of this book "a worthy book for the newbie entrepreneur" and by the U.S. Review of Books who put it on their "Recommended List." Potential users range from teens to seniors who seek to discover that, "There is nothing in human experience that cannot be turned into profit by an inventive mind."
AI for Community
AI for Community examines how technology can bridge cultural divides while considering what it means to preserve culture responsibly and human flourishing. It is a vital resource for those seeking to create AI that respects and uplifts communities, and to empower diverse cultures and protect their heritage
Generative Artificial Intelligence Empowered Learning
This book explores the integration of Generative AI (GenAI), such as ChatGPT, into educational practices and research methodologies. Ideal for educators, researchers, and policymakers, this book serves as a practical resource for those looking to effectively integrate AI into their pedagogical and research efforts.
Digital HR
This book explores the impact of technology on HR practices and how organisations can effectively incorporate these advancements to improve HR processes. It provides a comprehensive overview of the various technologies that are transforming HR, including artificial intelligence, machine learning, big data, and blockchain.
Computational Techniques for Biological Sequence Analysis
This book provides an overview of basic and advanced computational techniques for analyzing and understanding protein, RNA, and DNA sequences. It covers effective computing techniques for DNA and protein classifications, evolutionary and sequence information analysis, evolutionary algorithms, and ensemble algorithms. Furthermore, the book reviews the role of machine learning techniques, artificial intelligence, ensemble learning, and sequence-based features in predicting post-translational modifications in proteins, DNA methylation, and mRNA methylation, along with their functional implications. The book also discusses the prediction of protein-protein and protein-DNA interactions, protein structure, and function using computational methods. It also presents techniques for quantitative analysis of protein-DNA interactions and protein methylation and their involvement in gene regulation. Additionally, the use of nature-inspired algorithms to gain insights into gene regulatory mechanisms and metabolic pathways in human diseases is explored. This book acts as a useful reference for bioinformaticians and computational biologists working in the fields of molecular biology, genomics, and bioinformatics.Key Features: Reviews machine learning techniques for DNA sequence classification and protein structure prediction Discusses genetic algorithms for analyzing multiple sequence alignments and predicting protein-protein interaction sites Explores computational methods for quantitative analysis of protein-DNA interactions Examine the role of nature-inspired algorithms in understanding the gene regulation and metabolic pathways Covers evolutionary algorithms and sequence-based features in predicting post-translational modifications
Artificial Intelligence and Education - Shaping the Future of Learning
The book discusses the impact of artificial intelligence (AI) on education, exploring both the opportunities and challenges it brings. It aims to provide a comprehensive understanding of how AI is reshaping the educational environment, from personalized learning experiences and intelligent tutoring systems to administrative efficiencies and ethical considerations. The book also addresses the implications of AI on traditional educational models and the broader societal context, sparking a dialogue about AI's potential for enhancing learning outcomes and preparing students for an AI-driven world. Overall, it aims to inspire innovation and critical thinking in the field of education.
Hybrid Models for Coupling Deductive and Inductive Reasoning
This book constitutes the refereed proceedings of the Third International Workshop on Hybrid Models for Coupling Deductive and Inductive Reasoning, HYDRA 2024, held in Santiago de Compostela, Spain, on October 20, 2024. The 6 full papers and 1 invited talk included in this book were carefully reviewed and selected from 7 submissions.The International Workshop on Hybrid Models for Coupling Deductive andInductive Reasoning (HYDRA) was designed as a forum for researchers to explore the exciting possibilities at the intersection of deductive and inductive reasoning.
Building Integrations with Mulesoft
This concise yet comprehensive guide shows developers and architects how to tackle data integration challenges with MuleSoft. Authors Pooja Kamath and Diane Kesler take you through the process necessary to build robust and scalable integration solutions step-by-step. Supported by real-world use cases, Building Integrations with MuleSoft teaches you to identify and resolve performance bottlenecks, handle errors, and ensure the reliability and scalability of your integration solutions. You'll explore MuleSoft's robust set of connectors and their components, and use them to connect to systems and applications from legacy databases to cloud services. Ask the right questions to determine your use case, define requirements, decide on reuse versus rebuild, and create sequence and context diagrams Master tools like the Anypoint Platform, Anypoint Studio, Code Builder, GitHub, and Maven Design APIs with RAML and OAS and craft effective requests and responses Write MUnit tests, validate DataWeave expressions, and use Postman Collections Deploy Mule applications to CloudHub, use API Manager to create API proxies, and secure APIs with Mule OAuth 2.0 Learn message orchestration techniques for routers, transactions, error handling, For Each, Parallel For Each, and batch processing
