Edge Intelligent Computing Systems in Different Domains
This book provides a comprehensive and systematic exploration of next-generation Edge Intelligence (EI) Networks. It delves deep into the critical design considerations within this context, emphasizing the necessity for functional and dependable interactions between networking strategies and the diverse application scenarios. This should help assist to encompass a wide range of environments.This book also discusses topics such as resource optimization, incentive mechanisms, channel prediction and cutting-edge technologies, which includes digital twins and advanced machine learning techniques. It underscores the importance of functional integration to facilitate meaningful collaborations between networks and systems, while operating across heterogeneous environments aiming support novel and disruptive human-oriented services and applications. Valuable insights into the stringent requirements for intelligence capabilities, communication latency and real-time response are discussed. This characterizes the new EI era, driving the creation of comprehensive cross-domain architectural ecosystems that infuse human-like intelligence into every aspect of emerging EI systems.This book primarily targets advanced-level students as well as postdoctoral researchers, who are new to this field and are searching for a comprehensive understanding of emerging EI systems. Practitioners seeking guidance in the development and implementation of EI systems in practical contexts will also benefit from this book.
Explainable Artificial Intelligence
This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: ​Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine.Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems.Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI.
Death by Screens
Presenting your design work? Stop boring stakeholders with screen after screen after screen... tell them a story instead!The hardest thing to explain about a design, is the elusive 'why?' Why is it like that? It's tough to communicate your design decisions, especially when everyone has an opinion about design.The remedy to this problem isn't what you say about the design, it's the story you tell about it. It's more important than the design itself. Death by Screens makes it simple to craft a story about your design with an easy-to-follow process and a template presentation structure. You don't need to be a rockstar presenter, you just need to get your story straight.You already know how to design a great looking presentation - Death by Screens covers the not-so-obvious topics: what to say, what to show, in what order, and how to talk about it with confidence.If you're in a hurry to present, you can use the suggested presentation structure right away, with a handy checklist at the back of the book for quick reference.In the first half of the book you'll learn things like: The right preparation saves time and pain later on. Set up for success by mapping the concerns of your stakeholders, sending them an invitation email that manages their expectations, and booking the right room at the right time of day.Start with structure: work on slides later. Map the structure of your presentation horizontally to see the ups and downs of the story you're going to tell to avoid lengthy boring sections.The attention-grabber: use a surprising quote, quiz, or story to engage your audience. Use one of the suggested methods in the book to get your audience listening right away, and receptive to what you have to say later.The story: show your hero using the design. Don't just show the design, tell the story of someone using it - what they're thinking and doing, and how the design helps them reach their goals.The final chapters of the book cover the emotionally-charged topics: your speaking style, discussing feedback, and performance anxiety.Self-assess the basics: speed, volume, and expression. Learn rehearsal methods that you use to improve your speaking style on your own. The 6Ds of design discussion It's hard to think of the right answer to a tricky comment in the moment: use this framework to respond with satisfying answers.Self-awareness: reframe your anxious thoughts. Deal with anxiety using easy-to-learn CBT methods (Cognitive Behavioural Therapy) and turn your negative feelings into positives.Why this author can help youBen Sauer is a product and design leader, author and keynote speaker. He's presented to clients and conferences around the world, and trained hundreds of designers, including at NASA, Amazon and the BBC.Upgrade your design careerWhether you're presenting in a high-stakes scenario or not, Death by Screens teaches you how to be a strong communicator, vital to developing a successful career. Engage your audience with a well-structured presentation, transform uninspired stakeholders into enthusiastic collaborators, and gain strategic influence.Presenting soon? Get this book. Death by Screens is practical and (mostly) skips the theory - be a better presenter, fast.
Reinforcement Learning from Scratch
In ancient games such as chess or go, the most brilliant players can improve by studying the strategies produced by a machine. Robotic systems practice their own movements. In arcade games, agents capable of learning reach superhuman levels within a few hours. How do these spectacular reinforcement learning algorithms work? With easy-to-understand explanations and clear examples in Java and Greenfoot, you can acquire the principles of reinforcement learning and apply them in your own intelligent agents. Greenfoot (M.K繹lling, King's College London) and the hamster model (D. Bohles, University of Oldenburg) are simple but also powerful didactic tools that were developed to convey basic programming concepts. The result is an accessible introduction into machine learning that concentrates on reinforcement learning. Taking the reader through the steps of developing intelligent agents, from the very basics to advanced aspects, touching on a variety of machine learning algorithms along the way, one is allowed to play along, experiment, and add their own ideas and experiments.
Associative Engines
Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view. Connectionist approaches, Andy Clark argues, are driving cognitive science toward a radical reconception of its explanatory endeavor. At the heart of this reconception lies a shift toward a new and more deeply developmental vision of the mind--a vision that has important implications for the philosophical and psychological understanding of the nature of concepts, of mental causation, and of representational change.Combining philosophical argument, empirical results, and interdisciplinary speculations, Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view. Clark argues that this shift makes itself felt in two main ways. First, structured representations are seen as the products of temporally extended cognitive activity and not as the representational bedrock (an innate symbol system or language of thought) upon which all learning is based. Second, the relation between thoughts (as described by folk psychology) and inner computational states is loosened as a result of the fragmented and distributed nature of the connectionist representation of concepts.Other issues Clark raises include the nature of innate knowledge, the conceptual commitments of folk psychology, and the use and abuse of higher-level analyses of connectionist networks.
Made-Up Minds
Made-Up Minds addresses fundamental questions of learning and concept invention by means of an innovative computer program that is based on the cognitive-developmental theory of psychologist Jean Piaget. Drescher uses Piaget's theory as a source of inspiration for the design of an artificial cognitive system called the schema mechanism, and then uses the system to elaborate and test Piaget's theory. The approach is original enough that readers need not have extensive knowledge of artificial intelligence, and a chapter summarizing Piaget assists readers who lack a background in developmental psychology. The schema mechanism learns from its experiences, expressing discoveries in its existing representational vocabulary, and extending that vocabulary with new concepts. A novel empirical learning technique, marginal attribution, can find results of an action that are obscure because each occurs rarely in general, although reliably under certain conditions. Drescher shows that several early milestones in the Piagetian infant's invention of the concept of persistent object can be replicated by the schema mechanism.
Android UI Development with Jetpack Compose - Second Edition
Get started with creating intuitive native user interfaces on Android platforms using Kotlin and Jetpack Compose with the help of this illustrated guideKey Features: Distinguish between the imperative (Android View) and declarative (Jetpack Compose) approachExplore the Compose app structure, UI elements, and core concepts like state and composition over inheritanceEnhance apps with animations, transitions and build for smartphones, tablets, and foldable devicesPurchase of the print or Kindle book includes a free PDF eBookBook Description: Compose has caused a paradigm shift in Android development, introducing a variety of new concepts that are essential to an Android developer's learning journey. It solves a lot of pain points associated with Android development and is touted to become the default way to building Android apps over the next few years. This second edition has been thoroughly updated to reflect all changes and additions that were made by Google since the initial stable release, and all examples are based on Material 3 (also called Material You).This book uses practical examples to help you understand the fundamental concepts of Jetpack Compose and how to use them when you are building your own Android applications. You'll begin by getting an in-depth explanation of the declarative approach, along with its differences from and advantages over traditional user interface (UI) frameworks. Having laid this foundation, the next set of chapters take a practical approach to show you how to write your first composable function. The chapters will also help you master layouts, an important core component of every UI framework, and then move to more advanced topics such as animation, testing, and architectural best practices.By the end of this book, you'll be able to write your own Android apps using Jetpack Compose and Material Design.What You Will Learn: Recognize the motivation behind Jetpack ComposeGain an understanding of the core concepts of Jetpack ComposeBuild a complete app using Jetpack ComposeUtilize Jetpack Compose inside existing Android applicationsTest and debug apps that use Jetpack ComposeUnderstand Material Design and how it is implemented using Jetpack ComposeWrite apps for different form factorsBring your Compose UI to other platformsWho this book is for: If you're an Android developer with existing knowledge of the Kotlin programming language looking to learn how to build modern Android user interfaces using Jetpack Compose, then this book is for you. This book is not an introduction to Android development. You must have a basic understanding of how Android apps are developed using Android Studio.
TensorFlow Developer Certificate Guide
Achieve TensorFlow certification with this comprehensive guide covering all exam topics using a hands-on, step-by-step approach-perfect for aspiring TensorFlow developersKey Features: Build real-world computer vision, natural language, and time series applicationsLearn how to overcome issues such as overfitting with techniques such as data augmentationMaster transfer learning-what it is and how to build applications with pre-trained modelsPurchase of the print or Kindle book includes a free PDF eBookBook Description: The TensorFlow Developer Certificate Guide is an indispensable resource for machine learning enthusiasts and data professionals seeking to master TensorFlow and validate their skills by earning the certification. This practical guide equips you with the skills and knowledge necessary to build robust deep learning models that effectively tackle real-world challenges across diverse industries.You'll embark on a journey of skill acquisition through easy-to-follow, step-by-step explanations and practical examples, mastering the craft of building sophisticated models using TensorFlow 2.x and overcoming common hurdles such as overfitting and data augmentation. With this book, you'll discover a wide range of practical applications, including computer vision, natural language processing, and time series prediction.To prepare you for the TensorFlow Developer Certificate exam, it offers comprehensive coverage of exam topics, including image classification, natural language processing (NLP), and time series analysis. With the TensorFlow certification, you'll be primed to tackle a broad spectrum of business problems and advance your career in the exciting field of machine learning. Whether you are a novice or an experienced developer, this guide will propel you to achieve your aspirations and become a highly skilled TensorFlow professional.What You Will Learn: Prepare for success in the TensorFlow Developer Certification examMaster regression and classification modelling with TensorFlow 2.xBuild, train, evaluate, and fine-tune deep learning modelsCombat overfitting using techniques such as dropout and data augmentationClassify images, encompassing preprocessing and image data augmentationApply TensorFlow for NLP tasks like text classification and generationPredict time series data, such as stock pricesExplore real-world case studies and engage in hands-on exercisesWho this book is for: This book is for machine learning and data science enthusiasts, as well as data professionals aiming to demonstrate their expertise in building deep learning applications with TensorFlow. Through a comprehensive hands-on approach, this book covers all the essential exam prerequisites to equip you with the skills needed to excel as a TensorFlow developer and advance your career in machine learning. A fundamental grasp of Python programming is the only prerequisite.
How To Become A Data Scientist With ChatGPT
Are you aspiring to become a data scientist but feeling overwhelmed by the challenges of coding in programming languages? Are you new to data science and don't know how to code in any programming language? Look no further; this book is your comprehensive solution. Master the fundamentals of code generation with ChatGPT, learn to craft effective prompts, and navigate the DOs and DON'Ts of this invaluable tool. This book tackles the problem many aspiring data scientists face: the lack of programming skills. It's a step-by-step guide that utilizes the transformative potential of ChatGPT to empower you to code efficiently, streamline complex data analytics, and become a successful data scientist. The book contains: The role of ChatGPT in Data ScienceChatGPT for Data AnalyticsChatGPT-assisted programmingStep-by-step approach to code generation in ChatGPT for data scienceCase Studies to Demonstrate Data Analysis with ChatGPTWhether you are an experienced data scientist or just starting, this book will be your trusted ally in the journey. It explores real-world applications, deepens your understanding of predictive analytics, and supercharges your data science projects. Don't let programming hurdles hold you back. Let ChatGPT assist you on your path to becoming a data scientist. Are you ready to become a data scientist without a programming background? This book is your definitive guide to a future where ChatGPT empowers your journey to become a data scientist.
CompTIA A+ Practice Test Core 2 (220-1102)
Polish the skills needed to efficiently prepare for the CompTIA A+ Core 2 (220-1102) exam by solving exam-oriented practice questionsKey Features: Ensure that you have a clear understanding of the certification syllabus and exam objectivesConsolidate your knowledge of all the essential CompTIA A+ Core 2 exam topics and key definitionsPrepare for the exam structure by answering questions that are frequently part of itBook Description: The CompTIA A+ Core 2 certification validates the knowledge you need to support common operating systems and software installations. This book tests the skills essential for you to secure computing environments and troubleshoot common computing issues, while adhering to operational procedures through practice questions.Using proven techniques to test a candidate's knowledge of Core 2 (220-1102) exam objectives, this book will ensure that you're well-prepared to pass the exam on your first attempt. The chapters in this book comprise multiple-choice questions at the same level of difficulty as those you'll find in the official exam. All the questions are broken down into different chapters according to each exam domain, finishing with a 90-question mock exam to prepare you to confidently take the real exam. The chapters are designed in a way to not only test your knowledge, but also your ability to handle pressure during the exam.By the end of this practice test book, you'll be well-prepared to pass the CompTIA A+ Core 2 exam with confidence.What You Will Learn: Use the appropriate Microsoft command-line tool in any given scenarioCompare and contrast wireless security protocols and authentication methodsManage and configure basic security settings in the Microsoft Windows OSImplement workstation backup and recovery methods with easeFind out how to effectively use remote access technologiesGet tested on communication techniques and professionalismWho this book is for: CompTIA A+ Practice Test Core 2 (220-1102) is for students and working professionals looking to pass the CompTIA A+ Core 2 (220-1102) exam who have already completed studying for this exam. This book's purpose is not to teach theory, but to verify that you have retained the information that you've studied and ensure your current level of preparedness is sufficient to pass the exam.
Towards a Better Understanding of Blue Economy
The blue economy is a relatively new concept, but it has quickly gained traction in recent years. It refers to the sustainable use of the ocean and its resources for economic growth. The blue economy encompasses a wide range of sectors, including fisheries, aquaculture, marine transportation, and renewable energy.Despite its growing importance, there is still a lack of understanding of the blue economy. This is partly due to the fact that it is a complex and multidisciplinary field. It also reflects the fact that research on the blue economy is still relatively new.This paper aims to contribute to a better understanding of the blue economy by using bibliometric and social network analysis (SNA) methods. Bibliometrics is a quantitative approach to the study of scholarly communication. It uses data from academic journals and other publications to analyze trends in research. SNA is a method for analyzing the relationships between different entities, such as authors, institutions, or keywords.The paper begins by providing an overview of the blue economy. It then discusses the use of bibliometric and SNA methods to study the blue economy. The paper then presents the results of a bibliometric and SNA analysis of blue economy research.
AI Basics for Managers
Unleash the Power of AI in Your Business and Confidently Navigate the Future."AI Basics for Managers" is a revolutionary non-fiction book that demystifies the complex world of artificial intelligence (AI) for business leaders. This book, written by Andrew Hinton, a renowned AI and business strategy expert, offers practical insights, tools, and strategies that will empower managers to leverage AI for business growth and success.In this comprehensive guide, Andrew Hinton draws on extensive research and real-world case studies to explain key AI concepts, technologies, and their applications in business.With "AI Basics for Managers," readers will: Gain a solid understanding of AI, its history, and its impact on business.Learn about AI technologies like machine learning, deep learning, and natural language processing.Understand the role of data in AI and how to implement data-driven AI solutions.Discover how to identify opportunities and overcome challenges in AI implementation.Learn about AI ethics and how to build an AI-ready workforce."AI Basics for Managers" is perfect for business leaders, managers, and decision-makers looking to harness AI's power in their organizations. With its actionable advice, compelling storytelling, and cutting-edge research, this book is a must-read for anyone seeking to stay ahead in the rapidly evolving business landscape.Don't miss out on the opportunity to transform your business with the help of "AI Basics for Managers." Order your copy today and start charting your path to AI-driven success!
AI Basics for Managers
Unleash the Power of AI in Your Business and Confidently Navigate the Future."AI Basics for Managers" is a revolutionary non-fiction book that demystifies the complex world of artificial intelligence (AI) for business leaders. This book, written by Andrew Hinton, a renowned AI and business strategy expert, offers practical insights, tools, and strategies that will empower managers to leverage AI for business growth and success.In this comprehensive guide, Andrew Hinton draws on extensive research and real-world case studies to explain key AI concepts, technologies, and their applications in business.With "AI Basics for Managers," readers will: Gain a solid understanding of AI, its history, and its impact on business.Learn about AI technologies like machine learning, deep learning, and natural language processing.Understand the role of data in AI and how to implement data-driven AI solutions.Discover how to identify opportunities and overcome challenges in AI implementation.Learn about AI ethics and how to build an AI-ready workforce."AI Basics for Managers" is perfect for business leaders, managers, and decision-makers looking to harness AI's power in their organizations. With its actionable advice, compelling storytelling, and cutting-edge research, this book is a must-read for anyone seeking to stay ahead in the rapidly evolving business landscape.Don't miss out on the opportunity to transform your business with the help of "AI Basics for Managers." Order your copy today and start charting your path to AI-driven success!
Enterprise Transformation to Artificial Intelligence and the Metaverse
This book provides guidance on how organizations can respond effectively to a rapidly converging collection of advanced technologies, methods, and models often referred to as "the metaverse." The arrival of the metaverse will likely lead to one of the most disruptive eras in modern history. We will see our personal, social, professional, and business lives change just as dramatically as we experienced with the arrival of the personal computer, Internet, and smart phone. The book also discusses some of the most important metaverse technologies, concepts, and methods which are needed by organizational leaders to understand as they begin to map out their metaverse transformation plans. These discussions are followed by detailed chapters on the main elements of an effective enterprise transformation initiative, concluding with a detailed hypothetical case study that describes how such a transformation can be accomplished. The central purpose of the book is to help executives and other professionals in charting an effective course to the metaverse.
Continuous Biometric Authentication Systems
This book offers an overview of the field of continuous biometric authentication systems, which capture and continuously authenticate biometrics from user devices. This book first covers the traditional methods of user authentication and discusses how such techniques have become cumbersome in the world of mobile devices and short usage sessions. The concept of continuous biometric authentication systems is introduced and their construction is discussed. The different biometrics that these systems may utilise (e.g.: touchscreen-gesture interactions) are described and relevant studies surveyed. It also surveys important considerations and challenges.This book brings together a wide variety of key motivations, components and advantages of continuous biometric authentication systems. The overview is kept high level, so as not to limit the scope to any single device, biometric trait, use-case, or scenario. Therefore, the contents of this book are applicable to devices ranging from smartphones to desktop computers, utilising biometrics ranging from face recognition to keystroke dynamics. It also provides metrics from a variety of existing systems such that users can identify the advantages and disadvantages of different approaches.This book targets researchers and lecturers working in authentication, as well as advanced-level students in computer science interested in this field. The book will also be of interest to technical professionals working in cyber security.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Hci International 2023 - Late Breaking Posters
This two-volme set CCIS 1957-1958 is part of the refereed proceedings of the 25th International Conference on Human-Computer Interaction, HCII 2023, which was held in Copenhagen, Denmark, in July 2023. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Hci International 2023 - Late Breaking Posters
This two-volme set CCIS 1957-1958 is part of the refereed proceedings of the 25th International Conference on Human-Computer Interaction, HCII 2023, which was held in Copenhagen, Denmark, in July 2023. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
This 2-volume set, LNCS 14469 and 14470, constitutes the proceedings of the 26th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2023, which took place in Coimbra, Portugal, in November 2023. The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas.
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
This 2-volume set, LNCS 14469 and 14470, constitutes the proceedings of the 26th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2023, which took place in Coimbra, Portugal, in November 2023. The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Pattern Recognition and Computer Vision
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13-15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications andSystems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Microservices with Spring Boot and Spring Cloud
DESCRIPTIONMicroservices has emerged as a powerful solution to build flexible, scalable, and resilient applications. This Book is the go-to-guide to understanding, designing, and implementing microservice architectures using Spring Boot. It takes you on a journey through the intricacies of microservices to create robust and efficient microservice-based applications.This book helps you to understand the motivations and the entire process behind migrating from monolithic to microservice architectures. It covers essentials like REST basics, advanced topics such as centralized configuration, inter-service communication, Eureka Server, resilience mechanisms, security, and Docker deployment.Readers will be equipped to effortlessly find and access instances within a microservice architecture without disrupting clients. You will delve into distributed tracing and its importance in monitoring the interactions among microservices. Finally, we will discuss strategies for ensuring the reliability of your microservices architecture.Whether you're new to microservices or seeking to enhance your existing expertise, this book is your comprehensive guide to navigating the intricacies of modern application development. Embark on your microservices journey today and unlock the potential of Spring Boot in crafting efficient, scalable, and resilient software solutions.TABLE OF CONTENTS 1. The Foundation2. Decipher the unintelligible3. Scale it down4. Reflective Composition5. Liaison among services6. Location Transparency7. Gateway API Services8. Observability9. Reliability10. Keep It safe11. Deployment Appendix 1 Appendix 2 Index
How AI Works
AI isn't magic. How AI Works demystifies the explosion of artificial intelligence by explaining--without a single mathematical equation--what happened, when it happened, why it happened, how it happened, and what AI is actually doing "under the hood." Artificial intelligence is everywhere--from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT--yet few people seem to know how it all really works. How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon. You'll learn: The relationship between artificial intelligence, machine learning, and deep learningThe history behind AI and why the artificial intelligence revolution is happening nowHow decades of work in symbolic AI failed and opened the door for the emergence of neural networksWhat neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number.The implications of large language models, like ChatGPT and Bard, on our society--nothing will be the same againAI isn't magic. If you've ever wondered how it works, what it can do, or why there's so much hype, How AI Works will teach you everything you want to know.
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.
Hello Avatar
An examination of our many modes of online identity and how we live on the continuum between the virtual and the real. Hello Avatar! Or, {llSay(0, "Hello, Avatar!"); is a tiny piece of user-friendly code that allows us to program our virtual selves. In Hello Avatar, B. Coleman examines a crucial aspect of our cultural shift from analog to digital: the continuum between online and off-, what she calls the "x-reality" that crosses between the virtual and the real. She looks at the emergence of a world that is neither virtual nor real but encompasses a multiplicity of network combinations. And she argues that it is the role of the avatar to help us express our new agency--our new power to customize our networked life. By avatar, Coleman means not just the animated figures that populate our screens but the gestalt of images, text, and multimedia that make up our online identities--in virtual worlds like Second Life and in the form of email, video chat, and other digital artifacts. Exploring such network activities as embodiment, extreme (virtual) violence, and the work in virtual reality labs, and offering sidebar interviews with designers and practitioners, she argues that what is new is real-time collaboration and copresence, the way we make connections using networked media and the cultures we have created around this. The star of this drama of expanded horizons is the networked subject--all of us who represent aspects of ourselves and our work across the mediascape.
Perturbations, Optimization, and Statistics
A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees. In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a supervised learning setting. An emerging body of work on learning under different rules applies perturbations to decision and learning procedures. These methods provide simple and highly efficient learning rules with improved theoretical guarantees. This book describes perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees, offering readers a state-of-the-art overview. Chapters address recent modeling ideas that have arisen within the perturbations framework, including Perturb & MAP, herding, and the use of neural networks to map generic noise to distribution over highly structured data. They describe new learning procedures for perturbation models, including an improved EM algorithm and a learning algorithm that aims to match moments of model samples to moments of data. They discuss understanding the relation of perturbation models to their traditional counterparts, with one chapter showing that the perturbations viewpoint can lead to new algorithms in the traditional setting. And they consider perturbation-based regularization in neural networks, offering a more complete understanding of dropout and studying perturbations in the context of deep neural networks.
Gamification for Product Excellence
Are you trying to build a product that your audience loves to use? Game mechanics and psychology have been used for decades to increase engagement, convert users to buyers, and increase audience retention. Learning when and where to implement these tools can take your product from the middle of the pack to a must-have! This book begins by helping you get a clear understanding of gamification, its key concepts, and how product managers can leverage it to drive user engagement in non-game scenarios. As you progress through the chapters, you'll learn different gamification frameworks, mechanics, and elements with structured ways to implement them while designing a successful gamification strategy tailored to a business case. You'll get a chance to implement and test the designed strategy prototype with the users for feedback. You'll also discover how to sell your strategy to stakeholders to get full buy-in from the top down, along with how to gamify your product development process to drive innovation, engagement, and motivation. By the end of this book, you'll be primed to harness the power of gamification, and will have benefited from proven case studies, best practices, and tips, ensuring you are well-equipped to apply gamification principles to your work as a product development professional.
Learn WinUI 3 - Second Edition
Unlock the power of WinUI and supercharge your Windows app development with .NET and C# using this beginner's guideKey FeaturesFind out how to create modern Windows apps with native UI controlsGet to grips with modernizing existing desktop apps with a modern UILeverage WinUI code to build apps for iOS, Android, the web, and morePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWinUI 3 takes a whole new approach to delivering Windows UI components and controls and has the ability to deliver the same features across multiple versions of Windows. Learn WinUI 3 is a comprehensive introduction to WinUI and Windows apps for anyone who is new to WinUI and XAML applications.This updated second edition begins by helping you get to grips with the latest features in WinUI and shows you how XAML is used in UI development. The next set of chapters will help you set up a new Visual Studio environment, develop a new desktop project, incorporate the Model-View-ViewModel (MVVM) pattern in a WinUI project, and develop unit tests for ViewModel commands. Next, you'll cover the basics of data access from WinUI projects with a step-by-step approach. As you advance, you'll discover how to leverage the Fluent Design System to design beautiful WinUI applications. You'll also explore the contents and capabilities of the Windows Community Toolkit and learn how to create cross-platform apps with markup and code from your project using Uno Platform. The concluding chapters will teach you how to build, debug, and deploy apps to the Microsoft Store.By the end of this book, you'll have learned how to build WinUI applications from scratch and how to modernize existing desktop apps using WinUI 3 and the Windows App SDK.What you will learnDiscover the latest features of WinUI 3 and learn how to provide product feedbackUnderstand the WinUI project structure and the app lifecycleUse the MVVM pattern in WinUI and discover open source MVVM projectsFind out how to create a simple data store to save app data between sessionsGet to grips with incorporating the concepts of Fluent Design into a WinUI appDiscover how to use push notifications and app notifications in WinUIReuse WinUI views and view models in a cross-platform Uno Platform appWho this book is forThis book is for anyone looking to develop applications for Windows with a modern UI. If you're familiar with Windows desktop app development and want to enhance your knowledge of the latest Windows development techniques, this book is for you. Whether you're starting a new project or planning to modernize your existing Windows apps, this book will provide you with guidance. Hands-on experience with C# and .NET is expected, but no prior knowledge of WinUI or the Windows App SDK is required.Table of ContentsIntroduction to WinUIConfiguring the Development Environment and Creating the ProjectMVVM for Maintainability and TestabilityAdvanced MVVM ConceptsExploring WinUI ControlsLeveraging Data and ServicesFluent Design System for Windows ApplicationsAdding Windows Notifications to WinUI ApplicationsEnhancing Applications with the Windows Community ToolkitsAccelerating App Development with Template StudioDebugging WinUI Apps with Visual StudioHosting a Blazor Application in WinUITake Your App Cross-Platform with Uno Platform Packaging and Deploying WinUI Applications
Engineering Multi-Agent Systems
This book constitutes revised selected papers from the 11th International Workshop on Engineering Multi-Agent Systems, EMAS 2023, which was held in London, UK, during May 29-30, 2023.The 11 full papers and 7 short papers included in this volume were carefully reviewed and selected from a total of 25 submissions. They were organized in topical sections as follows: agent-oriented software engineering; agents and microservices; strategy, reasoning, and planning; engineering domains and applications; agents in hypermedia environments; frameworks, tooling, and devops.
AI 2023: Advances in Artificial Intelligence
This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 - December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm..
Virtual Reality and Mixed Reality
This book constitutes the refereed proceedings of the 20th International Conference on Virtual Reality and Mixed Reality, EuroXR 2023, held in Rotterdam, the Netherlands, during November 29-December 1, 2023. The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 42 submissions. The papers are grouped into the following topics: Interaction in Virtual Reality; Designing XR Experiences; and Human Factors in VR: Performance, Acceptance, and Design.
AI 2023: Advances in Artificial Intelligence
This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 - December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm.
Full Stack Web Development with Remix
Develop a web application while learning how to harness the capabilities of the web platform and advanced technologies for an exceptional user experienceKey FeaturesCreate a full stack web application using cutting-edge technologies such as distributed edge deploy, Redis, and multi-region databasesUnlock the full potential of the web platform to enhance your React dev experienceDiscover how Remix assists in building a seamless user experience from start to finishPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWe're in an exciting era of web development marked by the rapid evolution of the JavaScript ecosystem. Remix offers the necessary abstractions to take advantage of the latest advancements in React and beyond. With this Remix book, you can elevate your skills from React development to full stack web development, unlocking the full potential of the latest technologies, such as edge functions, streaming, and the full stack of the web platform.This book guides you through Remix's thoughtfully designed conventions, levers, and primitives to sharpen your web development skills. In this book, you'll develop a personal finance management application-a dashboard that mimics both personal and enterprise use cases. Each chapter introduces new concepts, such as routing, data fetching, mutations, error handling, and state management, as well as advanced topics, such as real-time communication, edge deploys, and caching strategies to create a great user experience from end to end. As you apply each concept to the finance dashboard, you'll discover how you can supercharge your React app with Remix. The final section of this book covers migration strategies, guiding you on how to transition an existing application to Remix.By the end of this book, you'll have a comprehensive understanding of Remix and the experience of building a full stack web app from start to finish.What you will learnUnderstand Remix's philosophy and guiding principlesEnhance your web platform proficiency to make it applicable anywhereMaster data mutations, routing, error handling, and state management with RemixUnderstand how to build web apps with accessibility and progressive enhancement in mindGet acquainted with advanced topics such as caching strategies, real-time communication, and developing for the edgeUnderstand state-of-the-art technologies, such as serverless functions, edge computing, and Content Delivery Networks (CDNs)Study migration patterns to move an existing project to RemixWho this book is forThis book is for React developers looking to adopt Remix for their next project. For those considering migrating to Remix, this guide offers a comprehensive walkthrough of building a full stack web app. To make the most of this book, beginner-level development experience with React and JavaScript is recommended. While having basic knowledge of server-side runtimes such as Node.js and experience with TypeScript can be beneficial, they are not mandatory prerequisites.Table of ContentsThe Era of Full Stack Web FrameworksCreating a New Remix AppDeploy Targets, Adapters, and StacksRouting in RemixFetching and Mutating DataEnhancing the User ExperienceError Handling in RemixSession ManagementAssets and Metadata HandlingWorking with File UploadsOptimistic UICaching StrategiesDeferring Loader DataReal Time with RemixAdvanced Session ManagementDeveloping for the EdgeMigration and Upgrade Strategies
Digital Health
Healthcare systems globally are grappling with how best to implement effective and efficient patient-centred care while simultaneously trying to contain runaway costs and provide high quality. This book explores the essential enabling role of digital health, taking a socio-technical perspective and looking at the key facets of technology, people and process in turn.This book examines the opportunities of key digital health components, demystifying digital health and demonstrating how to use its key precepts effectively. The book presents evidence and anecdotes from stakeholders around the world, demonstrating the global relevance and the ability of digital health to uplift and upskill care delivery as it is applied commercially. Bridging academic theory and practice, this is a functional and accessible text for all digital health stakeholders.The text introduces critical issues and is suitable reading for students, practitioners and researchers in digital health and all healthcare-related domains.
Artificial Intelligence with Microsoft Power Bi
Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization. Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity. Use Power BI to build a good data model for AI Demystify the AI terminology that you need to know Identify AI project roles, responsibilities, and teams for AI Use AI models, including supervised machine learning techniques Develop and train models in Azure ML for consumption in Power BI Improve your business AI maturity level with Power BI Use the AI feedback loop to help you get started with the next project
The Engineering Leader
Great engineers don't necessarily make great leaders--at least, not without a lot of work. Finding your path to becoming a strong leader is often fraught with challenges. It's not easy to figure out how to be strategic, successful, and considerate while also being firm. Whether you're on the management or individual contributor track, you need to develop strong leadership skills. This practical book shows you how to become a well-rounded and resilient engineering leader. Understand what it means to be the driving force behind your career Learn how to self-manage and avoid the pitfalls that many newer managers face Establish evolving practices and structures to best scale your team Define the impact of your team and its core mission and values
Virtual Assistant Mastery Elevate Your Business with Remote Professionals
What is a Virtual Assistant?In today's fast-paced, technologically advanced world, the concept of a virtual assistant has gained tremendous popularity. But what exactly is a virtual assistant, and how can they help you elevate your business as a side hustle?A virtual assistant, commonly referred to as a VA, is a professional who provides remote administrative, technical, or creative assistance to individuals or businesses. They offer a wide range of services, from managing emails and scheduling appointments to social media management and graphic design. The beauty of hiring a virtual assistant is that they work remotely, allowing you to focus on your side hustle while delegating tasks that can be time-consuming or require specific expertise.One of the key advantages of hiring a virtual assistant for your side hustle is the flexibility they offer. Whether you need assistance for a few hours a week or on a project basis, virtual assistants can adapt to your needs. They can help you with small tasks that eat up your time, freeing you to focus on the core aspects of your business. For example, a virtual assistant can handle customer inquiries, manage your website, or even create content for your blog or social media platforms.Furthermore, virtual assistants bring a wealth of experience and expertise to the table. As professionals in their respective fields, they are equipped with the necessary skills and knowledge to perform tasks efficiently and effectively. Hiring a virtual assistant allows you to tap into their expertise, benefiting from their specialized skill set without the need for extensive training or hiring full-time employees.In addition to being cost-effective, virtual assistants also provide a level of scalability that is ideal for side hustles. As your business grows, you can easily expand the scope of work assigned to your virtual assistant. This scalability ensures that you have the support you need, no matter how small or large your side hustle becomes.
Intelligent Systems
The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows: Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis;Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.
Intelligent Systems
The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows: Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis;Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.
Intelligent Systems
The three-volume set LNAI 14195, 14196, and 14197 constitutes the refereed proceedings of the 12th Brazilian Conference on Intelligent Systems, BRACIS 2023, which took place in Belo Horizonte, Brazil, in September 2023. The 90 full papers included in the proceedings were carefully reviewed and selected from 242 submissions. They have been organized in topical sections as follows: Part I: Best papers; resource allocation and planning; rules and feature extraction; AI and education; agent systems; explainability; AI models; Part II: Transformer applications; convolutional neural networks; deep learning applications; reinforcement learning and GAN; classification; machine learning analysis;Part III: Evolutionary algorithms; optimization strategies; computer vision; language and models; graph neural networks; pattern recognition; AI applications.
