Informatik

The idea of equal universes and substitute real factors has long caught the human creative mind, offering an enticing look into the conceivable outcomes of a multiverse where various variants of our world exist together. This charming thought, established in both sci-fi and logical hypothesis, has turned into a wellspring of interest and consideration for some. In this short investigation, we will dive into equal universes and how it has been portrayed in writing, science, and mainstream society. Equal universes or substitute real factors proposes the presence of numerous universes close by our own, each with its own extraordinary arrangement of conditions, results, and potential outcomes. An idea challenges our customary comprehension of the universe and prompts us to consider the tremendousness of what lies past our nearby discernment. Equal universes have been a repetitive subject in writing, with writers and narrators utilizing them to create stories that investigate the outcomes of various decisions and occasions. Books as carroll Lewis' "Into another world" and Philip K. Dick's "The Man in the High Palace" have offered perusers looks into universes that vary essentially from our own, acquainting them with substitute renditions of reality that flash the creative mind. In the domain of science, equal universes tracks down its foundations in quantum mechanics. The "many-universes translation" is a quantum hypothesis that proposes that at each snapshot of choice or quantum occasion, the universe parts into numerous branches, with each branch addressing an alternate result. While this translation stays a subject of discussion inside mainstream researchers, it has enamored the personalities of the people who contemplate the ramifications of a multiverse where each conceivable result happens in a different reality. Mainstream society has embraced the idea of equal universes with energy, as found in films like "The Framework," where characters explore between a mimicked reality and this present reality, and television series like "More bizarre Things," where substitute aspects and truths are fundamental to the plot. These depictions resound with crowds, provoking them to consider the results of such a peculiarity and the secrets it could open. Investigating substitute real factors through equal universes likewise offers a philosophical focal point through which we can inspect our own lives and decisions. The "imagine a scenario in which" questions that emerge while examining various ways not taken or various results to verifiable occasions welcome thoughtfulness and examination. It urges us to consider the job of possibility and decision in shaping our lives. In synopsis, the idea of equal universes and substitute truths is an enrapturing and diverse thought that has saturated writing, science, and mainstream society. It welcomes us to think about the tremendousness of potential outcomes past our nearby reality and urges us to investigate the results of various decisions and occasions. Whether in the domains of fiction, science, or reasoning, the investigation of equal universes stays a provocative and creative excursion into the unexplored world.

In this illustrated book, Julian Stodd, Sae Schatz, and Geoff Stead explore central questions that Generative AI raises within our organisations, from structures and systems to identity, trust, and the nature of truth.Engines of Engagement traverses a broad landscape of change, with deep consideration of how these powerful systems will impact our familiar mechanisms of creativity and productivity, artistry and education at individual, organisational, and societal levels.Generative AI technologies act as our new Engines: things that give us evolved forms of power and surface emergent abilities; things capable of driving prolific change but that also spew out significant uncertainty, discomfort, ambiguity, and risk.This discussion considers how we arrived at where we stand today, and it explores the varied paths that lie ahead, littered as they are with ethical, social, and technical hurdles.It's a book intended for leaders who hold a responsibility to set aside their certainty and to forge a path of curiosity. This isn't a guide to 'prompt engineering' nor will it give easy answers. Rather, through the authors' three respective lenses, and with contributions from thoughtful and provocative guests, we've sought to set a stage for debate, discovery, and perhaps even inspiration.

Partial differential equations are indispensable for modeling various phenomena and processes, such as those in physics, biology, finance, and engineering. Finding solutions to partial differential equations using qualitative theories or quantitative methods, as well as the application of such investigations to real-world problems, has drawn a large amount of interest from researchers.This reprint encompasses all the articles that were accepted and published in this Special Issue titled "Applications of Partial Differential Equations ". We hope that these accepted and published papers will be impactful and motivate future research on partial differential equations for solving complex problems in various fields, disciplines, and applications.

This book showcases recent research advances in service science and related fields. Including selected papers from the 2022 INFORMS International Conference on Service Science, held in Shenzhen, China from July 2 to 4, 2022, the book presents new theories and empirical results in the emerging, interdisciplinary field of digital transformation and society. Incorporating research, education and practice alike, the respective chapters highlight a host of ways to approach these challenges in service science.

This book explains the basic concepts, theory and applications of neural networks in a simple unified approach with clear examples and simulations in the MATLAB programming language. The scripts herein are coded for general purposes to be easily extended to a variety of problems in different areas of application. They are vectorized and optimized to run faster and be applicable to high-dimensional engineering problems. This book will serve as a main reference for graduate and undergraduate courses in neural networks and applications. This book will also serve as a main basis for researchers dealing with complex problems that require neural networks for finding good solutions in areas, such as time series prediction, intelligent control and identification. In addition, the problem of designing neural network by using metaheuristics, such as the genetic algorithms and particle swarm optimization, with one objective and with multiple objectives, is presented.

Schummeln ist neben Schwindeln mit Sicherheit Teil menschlichen Lebens. Es fängt schon im Kindergarten an mit Klauen von Spielsachen oder von Süßigkeiten. In der Schule wird abgeschrieben oder es werden Spicker benutzt. In der Berufswelt eröffnet die digitale Welt neue Möglichkeiten und berührt alle Lebensbereiche. Datenbetrug zielt auf geldliche Vorteile und Prestige ab oder wird vom Hass getrieben. Seine gesamte Breite wird sachlich vorgestellt und begründet, jedoch so, dass in vielen Fällen noch Schmunzeln über Einfallsreichtum und Tricksereien der Datenbetrüger möglich ist.Der Begriff Datenbetrug ist umfassend und reicht von A (Arzt im Profisport) bis Z (Zocken beim Fußball). Er ist nicht ausschließlich juristisch zu sehen, sondern ist ein gesellschaftlich-wirtschaftliches Phänomen jeder zivilisierten Gesellschaft. Die digitale Welt mit ihren virtuellen Räumen eröffnet allen Unredlichen künftig ganz neue, beängstigende Perspektiven.

Betting on AI's Future: A Promising, Yet Uncertain PathCONVERSATIONAL CHAT INFORMATIVE BOOKBy ABEBE- BARD AI WOLDEMARIAM The world is abuzz with excitement about the potential of artificial intelligence (AI). From revolutionizing industries to solving complex problems, AI's applications seem limitless. This has led many to view investing in AI as a surefire way to secure their future. Despite the undeniable potential of AI to revolutionize various fields, investing in its future is not without its risks. Careful consideration, thorough research, and diversified investments are crucial for navigating the uncertainty and reaping the potential rewards of this transformative technology. Particularly, the book "Betting on AI's Future: A Promising, Yet Uncertain Path" by Abebe-Bard AI Woldemariam explores the excitement and potential of artificial intelligence (AI) while also addressing the associated risks and challenges. It delves into the exponential growth of AI, its unprecedented capabilities, the investment boom in the global AI market, and its impact on daily life. The content provides a comprehensive exploration of the potential and risks of AI, offering readers a balanced view of the technology.Overall, "Betting on AI's Future: A Promising, Yet Uncertain Path" encourages careful consideration, thorough research, and diversified investments to navigate the uncertainty and reap the potential rewards of AI. It also includes additional resources for further exploration. By preparing for the future and making informed decisions, we can ensure that AI benefits all of humanity.Disclaimer:This book is a collaborative effort between Abebe BARD AI Woldemariam and Google BARD AI. While we strive to provide accurate and informative content, please be aware that AI technology is rapidly evolving, and the information presented may not always be completely up-to-date. Additionally, some sections may include personal opinions or interpretations of complex issues. We encourage you to conduct your own research and consult with experts before making any decisions regarding AI investments or applications.

This book provides readers with a single-source reference to static-single assignment(SSA)-based compiler design. It is the first (and up to now only) book that coversin a deep and comprehensive way how an optimizing compiler can be designed usingthe SSA form. After introducing vanilla SSA and its main properties, the authorsdescribe several compiler analyses and optimizations under this form. They illustratehow compiler design can be made simpler and more efficient, thanks to the SSA form.This book also serves as a valuable text/reference for lecturers, making the teaching ofcompilers simpler and more effective. Coverage also includes advanced topics, such ascode generation, aliasing, predication and more, making this book a valuable referencefor advanced students and practicing engineers.   

This book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence.The chapters are contributed by an international team of renown researchers and professionals in the field of AI and cybersecurity.During the last few decades the rise of modern AI solutions that surpass humans in specific tasks has occurred. Moreover, these new technologies provide new methods of automating cybersecurity tasks. In addition to the privacy, ethics and cybersecurity concerns, the readers learn several new cutting edge applications of AI technologies.Researchers working in AI and cybersecurity as well as advanced level students studying computer science and electrical engineering with a focus on AI and Cybersecurity will find this book useful as a reference. Professionals working within these related fields will also want to purchase this book as a reference. 

Artificial Intelligence is at the top of the agenda for education leaders, scientists, technologists and policy makers in educating the next generation across the globe. Beyond applying AI in daily life applications and educational tools, understanding how to learn and teach AI is increasingly important. Despite these emerging technology breakthroughs, AI learning is still new to educators especially to K-16 teachers. There is a lack of evidence-based studies that inform them about AI learning, including design principles for building a set of curriculum content, and pedagogical approaches as well as technological tools. Teaching AI concepts and techniques from programming languages and developmentally appropriate learning tools (e.g., robotics, serious games, software, intelligent agents) across different education levels emerged in recent years. The primary purpose of this book is to respond to the need to conceptualize the emerging term "e;AI literacy"e; and investigate how to teach and learn AI in K-16 education settings.This book examines different aspects of learning artefacts, pedagogies, content knowledge and assessment methods of AI literacy education, from theoretical discussions to practical recommendations for curriculum and instructional design. An exhaustive summary of current evidence with examples is illustrated in this book, as well as cutting-edge research that serves as an AI literacy model for different countries' contexts. Part I, "e;Conceptualizing AI literacy"e;, provides a detailed discussion on the development of the concepts and frameworks on AI literacy education, discusses the differences and similarities between AI in education (AIED) and AI literacy education, and illustrates the reasons why K-16 students need to learn AI. These concepts are brought together in Part II, "e;K-16 AI literacy education"e; to further summarize the pedagogies, learning content, learning tools and assessment methods to inform K-16 educators how to design their AI instruction at each education level. After that, part III "e;AI literacy for instructional designers"e; explores how instructional designers (i.e., AI developers and teachers) prepare themselves to become ready to design developmentally appropriate tools, platforms, services and curricula to empower students with AI literacy skills.

This book gathers contributions from a broad range of jurisdictions, written by practitioners and academics alike, and offers an unparalleled comparative view of key issues in competition law, intellectual property and unfair competition law, with a specific focus on the use of personal data. The first part focuses on the role of competition law in shaping the digital economy. It discusses the use of personal data, the market power of platforms, the assessment of free services, and more broadly the responsibility of dominant companies in the smooth functioning of the digital economy. In turn, the second part sheds light on how the conduct of influencers, native advertising and the use of AI for marketing purposes can be controlled by the law, focusing on the use of personal data and the impact of behavioral advertising on consumers. In this regard, the book brings together the current legal responses across a number of European and other countries, all summarized and elaborated on in the form of two international reports.The LIDC is a long-standing international association that focuses on the interface between competition law and intellectual property law, including unfair competition issues.

Today's organizations must be prepared for tomorrow's events. Forecast future behavior in SAP Analytics Cloud with this comprehensive guide to predictive analytics! Start by learning about the data types, scenarios, and methods used in predictive analytics projects. Then follow step-by-step instructions to build, analyze, and apply predictive models to your business data using classification, time series forecasting, and regression analysis. Automate your models and dive into the data science with this all-in-one guide! In this book, you'll learn about: a. Predictive Scenarios and Projects Understand the basics of predictive analytics in SAP Analytics Cloud: scenarios, data types, and actions. Then plan your predictive project, including identifying the key stakeholders and reviewing the methodology. b. Build, Train, Analyze, and Apply Master predictive models from end to end. Create classification, time series, and regression models; then train them to identify business patterns. Analyze and apply the results of your models to data in SAP Analytics Cloud. c. Practical Demonstrations See predictive analytics in action! Identify use cases for predictive modeling. For each data model, understand practical applications through curated examples with sample business data. Highlights include: 1) Predictive scenarios 2) Predictive forecasts 3) Data modeling 4) Planning 5) Time series model 6) Classification model 7) Regression model 8) Multi-actions 9) Data science 10) Stories and dashboards

Does your business run you, or are you running your business?The book Virtual Assistant Assistant is perfect for business owners who want to grow their company to new heights. There is a remedy if you've ever found yourself thinking there simply aren't enough hours in the day. It also won't force you into bankruptcy. In essence, virtual assistants are contractors that work from home for your company.This book tells you everything you need to know about virtual assistants, including:· Where to find the best ones· How to hire them· Best practices for working with them on an ongoing basisIt's written from firsthand experience, NOT theoretical or academic fluff. You'll discover how hiring a skilled virtual assistant can help you avoid wasting time, money, or headaches. Learn how to efficiently outsource your non-essential duties and take charge of your entrepreneurial life. You'll have hours each day to devote to what matters most.Virtual assistants can ultimately make your life happier, healthier, more productive, and stress-free. Many of the day-to-day tasks can be delegated, and in my opinion, they should be. This will free you up to work on the more important, strategic, and financially rewarding tasks that are sometimes overlooked. Our most valuable resource is time. However, we also waste this resource the fastest. Even though you might not immediately adopt a 4-hour workweek, this book will provide you with useful guidance.

Yapay zeka hakk¿nda ne kadar bilgi sahibisiniz? Hadi kendinizi test edin!- Shakespeare'in eserlerini yapay zeka yeniden yazsa, nas¿l bir sonuç ortaya ç¿kar?- Sokrates'in bak¿¿ aç¿s¿na göre bir yapay zeka çä¿ analizi nas¿l olurdu?- Yapay zeka, hukuk sistemimizin çeli¿kilerini ortaya ç¿karabilir mi?- ¿nsanl¿¿¿n dü¿ünsel altyap¿s¿n¿ yapay zeka ile tamamen de¿i¿tirmek mümkün mü?- Yapay zekan¿n önümüze y¿¿acä¿ etik meseleler kar¿¿s¿nda nelerden kayg¿ duymal¿y¿z?- Yapay zeka, Leonardo da Vinci'nin sanat¿n¿ nas¿l etkilerdi?- Yapay zekan¿n geli¿imi ve insan yäam¿ üzerindeki etkileri bir bilim kurgu hikayesinde nas¿l ele al¿n¿r?- Yapay zeka, i¿ dünyas¿n¿ nas¿l dönü¿türebilir ve yeni meslek alanlar¿ yaratabilir?- Yapay zekan¿n toplumsal yap¿lar ve insan ili¿kileri üzerindeki etkisi ne olur?- Yapay zekan¿n e¿itim sistemlerindeki rolü ve gelecekteki etkileri neler olabilir?(...)Bu kitap, yapay zeka hakk¿nda merak etti¿imiz sorulara, yapay zekan¿n bizzat kendisi taraf¿ndan verilen ¿ä¿rt¿c¿, bilgilendirici ve küat¿c¿ yan¿tlar¿n¿ içermektedir. Hukuktan edebiyata, psikolojiden toplumsal ve etik meselelere kadar geni¿ bir yelpazede yapay zekan¿n, toplumda nas¿l bir etki yaratabilece¿ine dair ilginç bak¿¿ aç¿lar¿ sunmaktad¿r.Teknolojinin h¿zla ilerledi¿i bu çäda, yapay zekan¿n geli¿imi ve etkileri üzerine dü¿ünmekten daha önemli ne olabilir? Biz de yapay zekan¿n dünyas¿n¿ daha iyi kavrayabilmek için bu merak uyand¿ran ve heyecan verici söyle¿iyi gerçekle¿tirdik. Söyle¿i boyunca, yapay zekan¿n insanl¿k için sundüu f¿rsatlar¿ ve kar¿¿lät¿¿¿m¿z zorluklar¿ hem teknik hem de felsefi bir perspektiften ele alma imkân¿ bulduk.Yapay zekan¿n s¿n¿rlar¿n¿, potansiyelini ve insanl¿¿a sundüu zorluklar¿ anlamak, hepimiz için hayati önem tä¿yor. Söyle¿imiz esnas¿ndan bir yandan da yapay zekan¿n insan hayat¿ndaki rolüne dair temel sorulara ve bu sorular¿n getirdi¿i dü¿ünsel zenginli¿e odakland¿k. Yapay zekan¿n karmä¿k dünyas¿na dair farkl¿ bak¿¿ aç¿lar¿ sunarken, bu teknolojinin gelece¿ini ¿ekillendirmekte biz insanlar¿n oynad¿¿¿ rolü de ortaya ç¿karm¿¿ olduk.Dörusunu söylemek gerekirse, sordüumuz sorular kar¿¿s¿nda kibirli ve üsttenci bir bak¿¿ aç¿s¿yla cevaplar beklerken, gayet mütevaz¿, kendini k¿yas¿ya ele¿tiren ve vizyoner bir karakterle kar¿¿lät¿k."Biz Sorduk, ChatGPT Yan¿tlad¿" kitab¿m¿z¿n, yapay zeka hakk¿nda bilgi edinmek isteyen herkes için yararl¿ olmas¿n¿ temenni ediyoruz. Bu kitapla, yapay zekan¿n gizemli dünyas¿n¿ ke¿federken, ayn¿ zamanda teknolojinin insanl¿k üzerindeki etkilerini sorgulama imkân¿ da bulacaks¿n¿z.Söyle¿inin kitaba dönü¿türülmesi sürecinde takip etti¿imiz yönteme dair aç¿klamalar¿ kitab¿n son sayfalar¿nda okuyabilirsiniz.Umar¿m bu yolculuk, sizin için de bizim için oldüu kadar ayd¿nlat¿c¿ ve ilham verici olur.

As you open the pages of "The Soul in the Machine: Seeking Humanity in an AI World," you embark on a profound journey that traverses the intricate and often blurred lines between artificial intelligence and human essence. This book is not just a compilation of thoughts and theories; it is a voyage into the heart of what it means to be human in an era increasingly dominated by machines that think, learn, and even feel.The genesis of this book lies in a simple yet profound question: Does the rise of AI threaten the uniqueness of the human soul, or does it provide a new lens through which to understand it? This question is not merely academic. It is essential at a time when AI is no longer a distant future but a present reality, shaping every aspect of our lives.A Multifaceted ExplorationThroughout this book, we explore various facets of the human-AI relationship. We delve into the technological advancements that have made AI a constant companion in our lives, from the algorithms that curate our social media feeds to the robots that might one day care for our elderly. But technology is just the beginning.We also explore the philosophical and ethical implications of AI. What does the development of AI tell us about our own intelligence and consciousness? How do we ensure that the AI we create embodies the best of humanity, rather than our flaws? These questions lead us into discussions about morality, empathy, and the potential need for a new ethical framework in the age of intelligent machines.Humanity at the CoreAt the heart of this exploration is humanity itself. This book is a search for the soul in the machine - not in a literal sense, but as a metaphor for the unique qualities that make us human. We examine whether AI can possess traits typically ascribed to the human soul, such as creativity, emotion, and the capacity for moral judgment.A Convergence of VoicesIn writing this book, I have drawn not only from my research and observations but also from the insights of experts in fields as diverse as computer science, philosophy, psychology, and theology. Their perspectives enrich our understanding of what AI can and cannot do, and where humans stand in this new era.An Invitation"The Soul in the Machine" is an invitation to engage in one of the most important conversations of our time. It is a call to readers to reflect on their own beliefs and assumptions about intelligence, consciousness, and what it means to be human in a world where the lines between organic and artificial intelligence are increasingly blurred.As you turn these pages, I invite you to join me in exploring these complex and fascinating topics. Whether you are a technologist, a philosopher, or simply someone curious about the future of humanity and AI, this book offers a space for reflection, debate, and, ultimately, understanding.A Journey ForwardAs we stand at the crossroads of a new era, "The Soul in the Machine: Seeking Humanity in an AI World" is more than just a book; it is a journey into the heart of what it means to be human in an age where our silicon counterparts challenge us to look deeper into our own souls. Let us embark on this journey together, with open minds and a willingness to question, learn, and grow.Dr. Hesham Mohamed Elsherif

This book constitutes the refereed proceedings of the IFIP WG 8.2 and WG 9.4 Joint Working Conference on After Latour: Globalisation, Inequity and Climate Change, IFIPJWC 2023, held in Hyderabad, India, during December 7¿8, 2023.The 15 full papers presented together with 13 short papers were carefully reviewed and selected from 60 submissions. They are organized in topical sections as follows: climate change and digital sustainability; ICT¿s and sustainable development; IS in the education sector; privacy, trust, and surveillance; theories and methods.

For thousands of years, music has acted as a powerful medium for evoking emotions, facilitating communication, and nurturing overall well-being. With the advent of new sophisticated neuroimaging technology, human responses to music and music therapy are being viewed through a new lens. As a consequence, new knowledge is being obtained about how music can produce significant improvements in cognitive, social, overt and agitated behaviours. The aim of this book is to provide an overview of neurocognitive music therapy, its impact and implications in the practice of evidence-based music interventions. The book seeks to provide researchers, psychologists, music therapists, musicians and physicians interested in the therapeutic applications of music, with a source of information about current techniques and novel music interventions. It is structured into several chapters, each of them presenting peer-reviewed research and evidence-based procedures carried out in a specific clinical context. Topics covered in the book include: Musical engagement for individuals with motor disabilities Enhancing emotional processing in autism through music Stroke rehabilitation via musical interventions Musical neurofeedback for emotional disorders Emotional modulation with music therapy in palliative care AI-driven personalisation in music interventionsThe book highlights the profound capacity of music-based interventions to facilitate cognitive and emotional processing, enhance communication, and promote motor rehabilitation. At the same time, the book demonstrates how modern technologies offer new opportunities to evaluate, validate, and potentiate music-based interventions, allowing new and innovative possibilities and more personalised interventions. This book aims to contribute to the growing body of knowledge in this field and inspire further research and innovation in the practice of music therapy.

With the growing capabilities of artificial intelligence, governments are integrating AI technologies into administrative and even judicial decision-making, aiding and in some cases even replacing human decision-makers. Predictive policing, automated benefits administration, and automated risk assessment in criminal sentencing are but a few prominent examples of a general trend. While the turn towards governmental automated decision-making promises to reduce the impact of human biases and produce efficiency gains, reducing the human element in governmental decision-making also entails significant risks. This book analyses these risks through a comparative constitutional law and human rights lens, examining US law, German law, and international human rights law. It also highlights the structural challenges that automation poses for legal systems built on the assumption of exclusively human decision-making. Special attention is paid to the question whether existing law can adequately address the lack of transparency in governmental automated decision-making, its discriminatory processes and outcomes, as well as its fundamental challenge to human agency. Building on that analysis, it proposes a path towards securing the values of human dignity and agency at the heart of democratic societies and the rule of law in an increasingly automated world. This book will be of interest to researchers and scholars focusing on the evolving relationship of law and technology as well as human rights scholars. Further, it represents a valuable contribution to the debate on the regulation of artificial intelligence and the role human rights can play in that process.

What changes have affected the definition of the boundaries of journalism in the last decade? How do technologies influence the boundaries of journalism? Are threats and opportunities identified in those blurred areas of journalism? The aim of this book is to answer these questions and to address, from different perspectives, the redefinition of the boundaries of journalism according to the most recent changes in digital media concerning actors, models, and practices.More than 40 authors from eleven countries contribute to this book, which is structured into six sections to analyze the principles of journalism today, sustainability strategies in the digital context, old and new actors, formats and narratives, adaptation to the mobile scenario and to social platforms, and the changes introduced by artificial intelligence. Undoubtedly, this book is of interest to both academics and professionals, as well as a crucial reference for scholars and students of media and journalism.Chapter 7 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This monograph provides a new framework for modelling goals and functions of control systems. It demonstrates how to use means-end concepts and various aspects of action to describe the relations between the structure, dispositions, functions, and goals of technical systems and with human action.The author developed this approach as part of his research on Multilevel Flow Modelling (MFM). He based the framework on concepts of action and means-end analysis drawing on existing theories from several areas of study, including philosophical logic, semiotics, and phenomenological approaches to social science. Here, he applies it to three modeling situations related to the interaction of technical artefacts and humans. One involves the relation between designer and artefact, another the relation between technical artefact and its user, and the third the relation between a natural object and its user. All three are relevant for modelling complex automated processes interacting with human operators.The book also discusses challenges when applying the foundations for modelling of technical artefacts. Overall, it provides a cross disciplinary integration of several fields of knowledge. These disciplines include intelligent process control, human machine interaction, and process and automation design. As a result, researchers and graduate students in computer science, engineering, and philosophy of technology will find it a valuable resource.

This book provides an introduction to next-generation applications and technologies for improving diagnostic accuracy and prediction of treatment outcomes in dentistry through the use of artificial intelligence (AI) and machine learning (ML). The authors attempt to bridge the gap between dental research and global health outcomes, as well as provide a comprehensive guide to general and clinical aspects of dental and oral health issues and the etiology, prevalence, assessment, and management of these conditions. This book combines engineering applications and medical healthcare and will be an important reference for researchers, biomedical engineers, dental students, and dental practitioners. 

This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML).  Machine learning is having a major impact on many industries, including the video game industry.  PCGML addresses the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content.  The authors illustrate how PCGML is poised to transform the video games industry and provide the first ever beginner-focused guide to PCGML.  This book features an accessible introduction to machine learning topics, and readers will gain a broad understanding of currently employed PCGML approaches in academia and industry.  The authors provide guidance on how best to set up a PCGML project and identify open problems appropriate for a research project or thesis.  This book is written with machine learning and games novices in mind and includes discussions of practical and ethical considerations along with resources and guidance for starting a new PCGML project.

This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.

Discover the next generation of BI with this guide to SAP Analytics Cloud! Get your data into the system and see which data models to use in which situations. Next, learn about stories-how to create visualizations for them, publish them, and enhance them. With expanded information on the analytics designer, analytics catalog, and planning models, this fully updated edition is your one-stop shop for all your SAP Analytics Clouds needs! Highlights include: 1) Data modeling 2) Stories 3) Visualizations 4) Dashboards 5) Financial planning 6) Analytics designer 7) Analytics catalog 8) SAP Digital Boardroom 9) SAP Analytics Hub 10) Data integration 11) Administration