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In this edition of Genetic Algorithms - Theory, Design and Programming, we present a series of scientific contributions that delve into the intricate theoretical foundations and practical nuances of genetic algorithms (GAs). Beyond the academic realm, GAs have demonstrated profound applications in societal decision-making and engineering optimization, showcased through real-world examples and case studies. A dedicated section on programming principles offers a thorough guide for implementing GAs across diverse languages. This edition, tailored for researchers and academics, serves as a testament to the scientific advancements within the field, inviting readers to explore the nuanced journey from theoretical constructs to pragmatic applications in the dynamic landscape of GAs.
Welcome to the world of AI, where the possibilities for enhancing your daily life are as diverse and accessible as ever. Whether you're new to the realm of artificial intelligence or just looking to explore its practical applications, this guide is your doorway to a world where technology meets everyday convenience. From planning your dream vacation with ease to managing your finances smarter, from discovering new learning avenues to optimizing your health and fitness routines, AI like ChatGPT is here to transform the ordinary into something extraordinary. It's not just about streamlining tasks; it's about enriching your life in ways you never imagined - be it through personalized cooking recipes, home improvement ideas, or entertainment suggestions tailored just for you. As a beginner, you're on the brink of discovering how AI can not only simplify but also elevate every aspect of your life, one interaction at a time.
Unlock the Power of AI with Our Neural Network Programming Book BundleAre you ready to embark on a journey into the exciting world of artificial intelligence? Do you dream of mastering the skills needed to create cutting-edge AI systems that can revolutionize industries and change the future? Look no further than our comprehensive book bundle, "Neural Network Programming: How to Create Modern AI Systems with Python, TensorFlow, and Keras."Why Choose Our Book Bundle?In this era of technological advancement, artificial intelligence is at the forefront of innovation. Neural networks, a subset of AI, are driving breakthroughs in fields as diverse as healthcare, finance, and autonomous vehicles. To harness the full potential of AI, you need knowledge and expertise. That's where our book bundle comes in.What You'll Gain· Book 1 - Neural Network Programming for Beginners: If you're new to AI, this book is your perfect starting point. Learn Python, TensorFlow, and Keras from scratch and build your first AI systems. Lay the foundation for a rewarding journey into AI development.· Book 2 - Advanced Neural Network Programming: Ready to take your skills to the next level? Dive deep into advanced techniques, fine-tune models, and explore real-world applications. Master the intricacies of TensorFlow and Keras to tackle complex AI challenges.· Book 3 - Neural Network Programming: Beyond the Basics: Discover the world beyond fundamentals. Explore advanced concepts and cutting-edge architectures like Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs). Be prepared to innovate in AI research and development.· Book 4 - Expert Neural Network Programming: Elevate yourself to expert status. Dive into quantum neural networks, ethical AI, model deployment, and the future of AI research. Push the boundaries of AI development with advanced Python, TensorFlow, and Keras techniques.Don't miss this opportunity to unlock the power of AI. Invest in your future today with "Neural Network Programming: How to Create Modern AI Systems with Python, TensorFlow, and Keras." Start your journey into the exciting world of artificial intelligence now!
Meticulously crafted to align with the ACM/IEEE-CS/AAAI Computer Science CS2023 curricular guidelines, Fundamentals in Computer Programming Workbook: An Active and Guide Inquiry Learning Approach to Enhance Computational Thinking empowers students to master the art of programming. Structured to facilitate both individual and collaborative learning, this workbook guides students through the intricacies of Java programming, decision structures, loops, methods, and beyond. It delves into the realms of object-oriented programming, exception handling, recursion, and algorithmic complexities before advancing into the sophisticated territories of arrays, linked lists, stacks, queues, trees, heaps, and hash tables. With a focus on active learning, the workbook employs Bloom's for Computing revised taxonomy to ensure a robust development of computational thinking skills. Each chapter is a step-by-step journey through problem-solving, supported by digital content accessible via QR codes for a seamless blend of traditional and modern learning experiences. Designed for a diverse range of learners-from community colleges to technical schools to four-year institutions-Fundamentals in Computer Programming Workbook is the perfect companion for undergraduate computer science courses and programs.
Unlock the power of APIs with expert guidance and techniques for successfully creating, testing, and maintaining products that align with customers and stand out in the marketKey Features:Understand the complete API product lifecycle, from planning to implementation, release, and maintenanceDesign and support API products that distinguish themselves on the market by meeting user needsImplement actionable techniques for developing, testing, and securing a successful API productPurchase of the print or Kindle book includes a free PDF eBookBook Description:The exponential increase in the number of APIs is evidence of their widespread adoption by companies seeking to deliver value to users across diverse industries, making the art of building successful APIs an invaluable skill for anyone involved in product development. With this comprehensive guide, you'll walk through the entire process of planning, designing, implementing, releasing, and maintaining successful API products.You'll start by exploring all aspects of APIs, including their types, technologies, protocols, and lifecycle stages. Next, you'll learn how to define an API strategy and identify business objectives, user personas, and jobs-to-be-done (JTBD). With these skills, you'll delve into designing and validating API capabilities to create a machine-readable API definition. As you advance, the book helps you understand how to choose the right language and framework for securely releasing an API server and offers insights into analyzing API usage metrics, improving performance, and creating compelling documentation that users love. Finally, you'll discover ways to support users, manage versions, and communicate changes or the retirement of an API.By the end of this API development book, you'll have the confidence and skills to create API products that truly stand out in the market.What You Will Learn:Master each stage of the API lifecycleDiscover technologies and protocols employed in building an API productUnderstand the different API design definition and validation techniquesGenerate an API server from a machine-readable definitionUnderstand how to set up and analyze API monitorsFamiliarize yourself with the different gateways for releasing an APIFind out how to create an API portal that attracts usersGain insights into planning and communicating API retirement to usersWho this book is for:Building an API Product is a guide for product managers and software developers navigating the world of APIs to build programmable products. You don't have to be an experienced professional to learn from this book as long as you have basic knowledge of internet technologies and how users interact with a product.
En la era de la inteligencia artificial, la traducción automática ha superado niveles de calidad imprevisibles hace escasamente diez años. El volumen de cambio es tal que, desde los estudios de traducción, se hace necesario reflexionar sobre su repercusión en las diferentes especialidades de traducción. El presente volumen recoge aportaciones valiosas para poder entender la evolución de la traducción automática, así como el estado actual de la misma en los ámbitos especializados.
This book describes the most recent strategies for the digitalization of railway sector that bring new challenges for the construction, operation, and maintenance of railway infrastructures. These strategies involve the development and application of new technologies and methodologies to enhance the sustainability and resilience of railway infrastructures particularly under extreme climate and operational events. In particular, the digital transformation involves the use of digital twins, augmented and virtual reality, forecast capabilities, risk and life-cycle analysis, cybersecurity, unmanned technologies for monitoring and inspection, computer vision, AI, risk and disaster management, among others. Presently, the literature is lacking a contribution that provides general and foundational knowledge across these and other topics. Therefore, this book provides valuable information for researchers, students, and professionals in railway engineering that want to developtheir knowledge and skills in this field.
This book constitutes the refereed post-proceedings of the 9th International Conference on Mobile, Secure, and Programmable Networking, MSPN 2023, held in Paris, France, during October 26¿27, 2023.The 15 full papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows vertical tools on machine leaning and artificial intelligence, network programming and Cloud computing, Industrial Internet of things, Digital Twins and Security.
Probably almost correct (PAC) bounds have been an intensive field of research over the last two decades. Hundreds of papers have been published and much progress has been made resulting in PAC-Bayes bounds becoming an important technique in machine learning. The proliferation of research has made the field for a newcomer somewhat daunting. In this tutorial, the author guides the reader through the topic's complexity and large body of publications. Covering both empirical and oracle PAC-bounds, this book serves as a primer for students and researchers who want to get to grips quickly with the subject. It provides a friendly introduction that illuminates the basic theory and points to the most important publications to gain deeper understanding of any particular aspect.
This book offers a comprehensive collection of the latest research presented at the 8th International XR-Metaverse Conference, held in Las Vegas, USA in 2023. Its goal is to bridge the gap between academia and industry by advancing the state of the art in metaverse, XR, AI-based AR and VR technologies, and by exploring their applications in various fields such as business, marketing, education, health care, tourism, events, fashion, entertainment, retail, and the gaming industry. Including contributions by prominent XR scholars from around the globe, the book addresses a wide range of significant topics concerning XR and the metaverse. Showcasing cutting-edge research outputs, it will be of interest to both academics and practitioners eager to catch up on the latest developments in this rapidly evolving field.
Petri nets model concurrent and distributed systems where active components communicate through the production and absorption of various kinds of resources. Although the dynamic properties of such systems may be very complex, they may sometimes be connected to the static structure of a Petri net. Many properties are decidable, but their complexity may be huge. It is often opportune to restrict oneself to classes of systems, to partial algorithms, and to similar but simpler properties. Instead of analysing a given system, it is also possible to search for a system satisfying some desired properties by construction. This comprehensive textbook/reference presents and discusses these issues in-depth in the context of one of the most fundamental Petri net models, called place/transition nets. The presentation is fortified by means of many examples and worked exercises. Among topics addressed: ¿ In which order may actions may be generated and scheduled? ¿ What states and configurations may be reached in a concurrent system? ¿ Which interesting classes of systems can be analysed relatively efficiently? ¿ Is it possible to synthesise a system of some class from its behaviour? ¿ How can systems be represented algebraically, compositionally, and concisely? This unique text, based on introductory as well as on advanced courses on distributed systems, will serve as an invaluable guide for students and (future) researchers interested in theoretical¿as well as in practical¿aspects of Petri nets and related system models. Eike Best has been a full professor (now retired) affiliated to Carl von Ossietzky Universität Oldenburg, Germany. Raymond Devillers has been a full professor (now retired) affiliated to Université Libre de Bruxelles, Belgium. The authors have a long record as collaborators in the fields of Petri nets and the semantics of concurrency.
In this opening chapter, readers are introduced to the rapidly evolving world of technology and its profound impact on the job market. The digital revolution has led to seismic shifts in the skills and roles required by the workforce. This chapter sets the stage for the rest of the book by highlighting the following key points:The Fourth Industrial Revolution: The world is entering the Fourth Industrial Revolution, characterized by technological advancements in AI, cloud computing, blockchain, and more. These innovations are transforming industries and the way we work.The Decline of Traditional Careers: Many traditional careers are becoming automated or are no longer in high demand due to technological advancements. This chapter explores some of the professions that have been most affected.The Need for Adaptability: Readers are introduced to the concept of adaptability as a critical skill in the tech-centric job market. Those who can learn, unlearn, and relearn will be well-prepared for the future.The Promise of New Opportunities: Despite the challenges, the evolving tech landscape also presents an array of new and exciting career opportunities. These include roles related to AI, cloud computing, blockchain, and more, which will be explored in detail throughout the book.The Importance of Lifelong Learning: This chapter emphasizes that education doesn't stop with a degree; ongoing learning and skill development are essential to staying relevant in the tech industry.The Role of the Book: Finally, the chapter sets the stage for the rest of the book by explaining that it will provide guidance on identifying and pursuing tech careers that are not only in demand but also align with the reader's interests and aspirations.
"Dialogue with Digital Minds: Your Guide to ChatGPT" delves deep into the realm of conversing with AI, specifically focusing on ChatGPT. The book begins with an insightful introduction to ChatGPT, explaining its technology, capabilities, and the principles of AI communication. It provides a foundational understanding necessary for readers to effectively interact with ChatGPT.The core of the book is dedicated to the art and science of crafting prompts. This section includes detailed instructions and examples on how to ask questions and provide information in a way that maximizes the accuracy and relevance of ChatGPT's responses. It covers various scenarios, from simple informational queries to complex problem-solving tasks, and even creative endeavors.A significant portion of the book addresses common challenges and misunderstandings in communicating with AI. It offers practical solutions and tips for refining questions, interpreting responses accurately, and correcting the course of a conversation when it veers off track.The guide also emphasizes the ethical and responsible use of AI. It discusses privacy concerns, the importance of understanding and mitigating biases in AI responses, and guidelines for using ChatGPT in a manner that is respectful and beneficial.For advanced users, the book explores more sophisticated techniques for interacting with ChatGPT. This includes integrating ChatGPT with other tools and platforms, using it for specialized tasks, and pushing the boundaries of creative AI assistance."Dialogue with Digital Minds" concludes by looking towards the future of AI communication. It speculates on upcoming advancements in AI technology and offers advice on how readers can stay informed and adapt to these changes.Supplemented with real-world examples, case studies, and a comprehensive resource list for further exploration, this book is an invaluable resource for anyone looking to enhance their interactions with ChatGPT and explore the frontiers of AI communication.
What is artificial intelligence? What problems does it solve? Should we fear its potential? In this highly accessible guide to the subject, Richard Urwin explains how AI came about and how it has developed over the years through the construction of ever more sophisticated computer programs. From primitive calculators and early robotics to stock market analytics and ChatGPT, readers can explore the history and far-reaching capabilities of this dynamic field and its potentially frightening possibilities. Includes: - The History of Artificial Intelligence- Data-mining and Statistics- Deep learning- Swarm Intelligence> By turns fascinating and scary, Artificial Intelligence will take the reader on an amazing journey of this field's world-changing potential.
This book aspires young graduates and programmers to become AI engineers and enter the world of artificial intelligence by combining powerful Python programming with artificial intelligence. Beginning with the fundamentals of Python programming, the book gradually progresses to machine learning, where readers learn to implement Python in developing predictive models.The book provides a clear and accessible explanation of machine learning, incorporating practical examples and exercises that strengthen understanding. We go deep into deep learning, another vital component of AI. Readers gain a thorough understanding of how Python's frameworks and libraries can be used to create sophisticated neural networks and algorithms, which are required for tasks such as image and speech recognition. Natural Language Processing is also covered in the book, with fundamental concepts and techniques for interpreting and generating human-like language covered.The book's focus on computer vision and reinforcement learning is distinctive, presenting these cutting-edge AI fields in an approachable manner. Readers will learn how to use Python's intuitive programming paradigm to create systems that interpret visual data and make intelligent decisions based on environmental interactions. The book focuses on ethical AI development and responsible programming, emphasizing the importance of developing AI that is fair, transparent, and accountable.Each chapter is designed to improve learning by including practical examples, case studies, and exercises that provide hands-on experience. This book is an excellent starting point for anyone interested in becoming an AI engineer, providing the necessary foundational knowledge and skills to delve into the fascinating world of artificial intelligence.Key LearningsExplore Python basics and AI integration for real-world application and career advancement.Experience the power of Python in AI with practical machine learning techniques.Practice Python's deep learning tools for innovative AI solution development.Dive into NLP with Python to revolutionize data interpretation and communication strategies.Simple yet practical understanding of reinforcement learning for strategic AI decision making.Uncover ethical AI development and frameworks, and concepts of responsible and trustworthy AI.Harness Python's capabilities for creating AI applications with a focus on fairness and bias.Table of ContentIntroduction to Artificial IntelligencePython for AIData as Fuel for AIMachine Learning FoundationEssentials of Deep LearningNLP and Computer VisionHands-on Reinforcement LearningEthics to AI
The Align > Refine > Design series covers conceptual, logical, and physical data modeling (schema design and patterns) for leading technologies, combining proven data modeling practices with database-specific features to produce better applications. Read Cassandra Data Modeling and Schema Design if you are a data professional who needs to expand your modeling skills to include Cassandra or a technologist who knows Cassandra but needs to grow your schema design skills.The book's introduction and three chapters cover the Align, Refine, and Design approach. We include what the level does in the name by rebranding Conceptual, Logical, and Physical into Align, Refine, and Design. The introduction covers the three modeling characteristics of precise, minimal, and visual; the three model components of entities, relationships, and attributes (including keys); the three model levels of conceptual (align), logical (refine), and physical (design); and the three modeling perspectives of relational, dimensional, and query. Chapter 1, Align, is about agreeing on the common business vocabulary so everyone is aligned on terminology and general initiative scope. Chapter 2, Refine, is about capturing the business requirements. That is, refining our knowledge of the initiative to focus on what is essential. Chapter 3, Design, is about the technical requirements. That is, designing to accommodate our model's unique software and hardware needs.Align, Refine, and Design-that's the approach followed in this book and reinforced through an animal shelter case study. If you are interested in learning how to build multiple database solutions, read all the books in the Align > Refine > Design series. Since each book uses the same template, you can quickly skill up on additional database technologies.
This conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions.The proceedings of MICAI 2023 workshops are structured into three sections:¿ WILE 2023: 16th Workshop on Intelligent Learning Environments¿ HIS 2023: 16th Workshop of Hybrid Intelligent Systems¿ CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications
This book represents an interdisciplinary academic endeavour intended to provide readers with a comprehensive, balanced, and nuanced examination of critical issues at the intersection of cyberspace, cyberterrorism, and national and international security. It draws insights from a range of diverse fields, including Computer Science, Social Science, Political Science, International Relations, Criminology, and Law. Furthermore, the book investigates the field of Artificial Intelligence (AI) and related technologies, exploring their dual role in this dynamic landscape of contemporary cyberthreats, with both constructive and malicious implications.The book comprises four distinct themes, with each theme represented by a dedicated Part. Within this organisational framework, each overarching theme is systematically explored through a series of chapters, providing readers with a clear and thematic roadmap for their journey through the content.Part I, Understanding Terrorism and Counter-Terrorism Strategies, of the book explores complexities surrounding contemporary global security challenges. It serves as the foundational segment of the book, consisting of three chapters that critically analyse various dimensions of terrorism and the strategies implemented to combat it.Part II, Cyberterrorism Landscape, of the book offers an in-depth assessment of the current cyberterrorism landscape. This section comprises two critical chapters, each contributing to a comprehensive understanding of the contemporary threats posed by cyberterrorism and their implications for national security.Part III, Countering Cyberterrorism with Technology, of the book forms the core of the book's exploration into leveraging technology to mitigate the threats of cyberterrorism. This section includes four critical chapters, collectively providing an in-depth understanding of the intersection between technology and counterterrorism strategies.Part IV, Artificial Intelligence and National and International Security, of the book delves into the complex relationship between AI technology and the broader security landscape. Comprising three pivotal chapters, this section provides a detailed understanding of AI's transformative role in shaping the future of national and international security.
This book constitutes the refereed proceedings of the 6th International Conference on Information and Knowledge Systems, ICIKS 2023, held in Portsmouth, UK, during June 22¿23, 2023.The 18 full papers and 6 short papers included in this book were carefully reviewed and selected from 58 submissions. They were organized in topical sections as follows: Decision Making, Recommender Systems, and Information Support Systems; Information Systems and Machine Learning; Knowledge Management, Context and Ontology; Cybersecurity and Intelligent Systems; and Natural Language Processing for Decision Systems.
Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin.The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures.Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018). The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success.Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking.
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