Kunstig intelligens

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.

This book presents a comprehensive overview of Natural Language Interfaces to Databases (NLIDBs), an indispensable tool in the ever-expanding realm of data-driven exploration and decision making. After first demonstrating the importance of the field using an interactive ChatGPT session, the book explores the remarkable progress and general challenges faced with real-world deployment of NLIDBs. It goes on to provide readers with a holistic understanding of the intricate anatomy, essential components, and mechanisms underlying NLIDBs and how to build them. Key concepts in representing, querying, and processing structured data as well as approaches for optimizing user queries are established for the reader before their application in NLIDBs is explored. The book discusses text to data through early relevant work on semantic parsing and meaning representation before turning to cutting-edge advancements in how NLIDBs are empowered to comprehend and interpret human languages. Various evaluation methodologies, metrics, datasets and benchmarks that play a pivotal role in assessing the effectiveness of mapping natural language queries to formal queries in a database and the overall performance of a system are explored. The book then covers data to text, where formal representations of structured data are transformed into coherent and contextually relevant human-readable narratives. It closes with an exploration of the challenges and opportunities related to interactivity and its corresponding techniques for each dimension, such as instances of conversational NLIDBs and multi-modal NLIDBs where user input is beyond natural language. This book provides a balanced mixture of theoretical insights, practical knowledge, and real-world applications that will be an invaluable resource for researchers, practitioners, and students eager to explore the fundamental concepts of NLIDBs.

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.

This book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.

Rapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management's awareness of the ethical and moral aspects of AI.It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles.This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI. 

This edited book presents scientific results of the 12th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2013) which was held on June 16-20, 2013 in Toki Messe, Niigata, Japan. The aim of this conference was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas, research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve themThe conference organizers selected the best 20 papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review.

This book presents advances in security assurance for cyber-physical systems (CPS) and report on new machine learning (ML) and artificial intelligence (AI) approaches and technologies developed by the research community and the industry to address the challenges faced by this emerging field.Cyber-physical systems bridge the divide between cyber and physical-mechanical systems by combining seamlessly software systems, sensors, and actuators connected over computer networks. Through these sensors, data about the physical world can be captured and used for smart autonomous decision-making.This book introduces fundamental AI/ML principles and concepts applied in developing secure and trustworthy CPS, disseminates recent research and development efforts in this fascinating area, and presents relevant case studies, examples, and datasets. We believe that it is a valuable reference for students, instructors, researchers, industry practitioners, and related government agencies staff.

This book describes current and potential use of artificial intelligence and computational intelligence techniques in biomedicine and other application areas. Medical applications range from general diagnostics to processing of X-ray images to e-medicine-related privacy issues.Medical community understandably prefers methods that have been successful other on other application areas, where possible mistakes are not that critical. This book describes many promising methods related to deep learning, fuzzy techniques, knowledge graphs, and quantum computing. It also describes the results of testing these new methods in communication networks, education, environmental studies, food industry, retail industry, transportation engineering, and many other areas. This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications-and to further develop this important research direction.

This book provides an essential compilation of relevant and cutting edge academic and industry work on key Blockchain topics. This book concentrates on a wide range of advances related to Blockchains which include, among others, Blockchain principles, architecture and concepts with emphasis on key and innovative theories, methodologies, schemes and technologies of Blockchain, Blockchain platforms and architecture, Blockchain protocols, sensors and devices for Blockchain, Blockchain foundations, and reliability analysis of Blockchain-based systems.  Further, it provides a glimpse of future directions where cybersecurity applications are headed. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse cybersecurity application experts in the listed fields and edited by prominent cybersecurity applications researchers and specialists.

- A comprehensive overview of the various fields of application of data science and artificial intelligence.- Case studies from practice to make the described concepts tangible.- Practical examples to help you carry out simple data analysis projects.- BONUS in print edition: E-Book insideData Science, Big Data, Artificial Intelligence and Generative AI are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them.Using exercises and real-world examples, it will show you how to apply data science methods, build data platforms, and deploy data- and ML-driven projects to production. It will help you understand - and explain to various stakeholders - how to generate value from such endeavors. Along the way, it will bring essential data science concepts to life, including statistics, mathematics, and machine learning fundamentals, and explore crucial topics like critical thinking, legal and ethical considerations, and building high-performing data teams.Readers of all levels of data familiarity - from aspiring data scientists to expert engineers to data leaders - will ultimately learn: how can an organization become more data-driven, what challenges might it face, and how can they as individuals help make that journey a success.The team of authors consists of data professionals from business and academia, including data scientists, engineers, business leaders and legal experts. All are members of the Vienna Data Science Group (VDSG), an NGO that aims to establish a platform for exchanging knowledge on the application of data science, AI and machine learning, and raising awareness of the opportunities and potential risks of these technologies.WHAT'S INSIDE //- Critical Thinking and Data Culture: How evidence driven decision making is the base for effective AI.- Machine Learning Fundamentals: Foundations of mathematics, statistics, and ML algorithms and architectures- Natural Language Processing and Computer Vision: How to extract valuable insights from text, images and video data, for real world applications.- Foundation Models and Generative AI: Understand the strengths and challenges of generative models for text, images, video, and more.- ML and AI in Production: Turning experimentation into a working data science product.- Presenting your Results: Essential presentation techniques for data scientists.

This book presents parts of the iM3F 2023 proceedings from the mechatronics as well as the intelligent manufacturing tracks. It highlights recent trends and key challenges in mechatronics as well as the advent of intelligent manufacturing engineering and technology that are non-trivial in embracing Industry 4.0 as well as addressing the UN Sustainable Development Goals. The book deliberates on conventional as well as advanced solutions that are utilized in the variety of mechatronics and intelligent manufacturing-based applications. The readers are envisaged to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book. It provides a platform that allows academics as well as other relevant stakeholders to share, discuss, and deliberate their latest research findings in the field of manufacturing, mechatronics, and materials, respectively.

Contains Artificial Intelligence (AI) projects suitable for anyone who wants to get started with AI programming.

Master effective navigation of neural networks, including convolutions and transformers, to tackle computer vision and NLP tasks using PythonKey FeaturesUnderstand the theory, mathematical foundations and the structure of deep neural networksBecome familiar with transformers, large language models, and convolutional networksLearn how to apply them on various computer vision and natural language processing problems Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe field of deep learning has developed rapidly in the past years and today covers broad range of applications. This makes it challenging to navigate and hard to understand without solid foundations. This book will guide you from the basics of neural networks to the state-of-the-art large language models in use today.The first part of the book introduces the main machine learning concepts and paradigms. It covers the mathematical foundations, the structure, and the training algorithms of neural networks and dives into the essence of deep learning.The second part of the book introduces convolutional networks for computer vision. We'll learn how to solve image classification, object detection, instance segmentation, and image generation tasks. The third part focuses on the attention mechanism and transformers - the core network architecture of large language models. We'll discuss new types of advanced tasks, they can solve, such as chat bots and text-to-image generation.By the end of this book, you'll have a thorough understanding of the inner workings of deep neural networks. You'll have the ability to develop new models or adapt existing ones to solve your tasks. You'll also have sufficient understanding to continue your research and stay up to date with the latest advancements in the field.What you will learnEstablish theoretical foundations of deep neural networksUnderstand convolutional networks and apply them in computer vision applicationsBecome well versed with natural language processing and recurrent networksExplore the attention mechanism and transformersApply transformers and large language models for natural language and computer visionImplement coding examples with PyTorch, Keras, and Hugging Face TransformersUse MLOps to develop and deploy neural network modelsWho this book is forThis book is for software developers/engineers, students, data scientists, data analysts, machine learning engineers, statisticians, and anyone interested in deep learning. Prior experience with Python programming is a prerequisite.Table of ContentsMachine Learning - an IntroductionNeural NetworksDeep Learning FundamentalsComputer Vision with Convolutional NetworksAdvanced Computer Vision ApplicationsNatural Language Processing and Recurrent Neural NetworksThe Attention Mechanism and TransformersExploring Large Language Models in DepthAdvanced Applications of Large Language ModelsMachine Learning Operations (ML Ops)

AI-Powered Data Revolution: Unveiling the Potential of MARSCONVERSATIONAL CHAT INFORMATIVE BOOKAuthors: Google Bard AI and Abebe Gebre Woldemariam (Abe) In the era of big data, organizations are struggling to keep pace with the ever-increasing volume, complexity, and velocity of information. Traditional data management systems are failing to meet the demands of this new data-driven world, leading to inefficiencies, inaccuracies, and security vulnerabilities.The Machine-Assisted Analytic Rapid-Repository System (MARS) is a groundbreaking innovation that harnesses the power of artificial intelligence (AI) to revolutionize data storage and analysis. MARS represents a paradigm shift in data management, offering a comprehensive and intelligent solution that addresses the limitations of traditional systems.This book showcases real-world applications of MARS across various industries, including healthcare, finance, manufacturing, and retail, demonstrating its ability to transform data management practices and drive innovation in diverse domains.As MARS continues to evolve, its impact on data management and analytics is poised to grow exponentially, ushering in a new era of data-driven decision-making and unlocking the full potential of information for the betterment of society. Key Features:Provides a comprehensive overview of the MARS system and its capabilitiesExplores the real-world applications of MARS across various industriesDiscusses the potential impact of MARS on the future of data management and analyticsIncludes case studies and examples of how MARS is being used to solve real-world problems Target Audience:Data professionalsBusiness leadersTechnology enthusiastsAnyone interested in the future of data and AI About the Authors:Google Bard AI is an experimental conversational AI chatbot developed by Google that learns from its encounters with humans to improve its performance and based initially on the LaMDA family of large language models (LLMs) and later the PaLM LLM.Abebe Gebre Woldemariam is a human, Enigeer that made conversational chats with Bard as per his experiences of exposure to convert stalking. Call to Action:Learn more about MARS and its potential to transform your organization's data management practicesExplore the resources available for implementing MARS in your organizationJoin the conversation about the future of data and AI

Rapid and unprecedented cell proliferation are characteristics of the condition known as cancer. They have no boundaries and spread to any nearby body sections. Malignant and neoplasms are the two categories of Cancer classification. There are possibilities that any portion of the human body may be affected, and the cancer cells might slowly extend to other nearby organs. Many deaths across the world are being caused by cancer. Among several diseases that affect women, Cancer is considered as a disease with a high global fatality rate. Due to the slowly spreading nature of this illness, women from all social strata, whether urban or rural, are equally impacted. The human body is composed of trillions of cells, which are basic building units. Every cell has a cycle in which it grows, multiplies, ages and dies. But when there is a change in this orderly process, the abnormal cells start to proliferate, causing undesirable lumps of tissue. This type of lump formation of tissues are called tumors. Tumors can be either malignant or benign. Cancerous tumors that can be fatal are malignant, while other non- cancerous tumors are known as benign. Metastasis is a condition where the cancerous cell travels to other sections of the body to form new tumors. Often malignant tumors are considered life-threatening, while benign tumors once removed usually don't spread again. Leukemia is also a type of Cancer that do not form solid tumors. Cancer is not caused by a single factor, but multiple factors might result in cancer. Primary causes of cancer reported by scientists are genetic or hereditary conditions, where the patients have a family history. Other factors include environmental factors, exposure to high radiation, viruses, pesticides and other toxins. Risk factors vary for childhood cancer and adult cancer. Similarly, the medication and diagnostic procedure also differs for child and adult. Some of the common and known factors for this disease are active smoking, lack of physical exercise, high fat diet and usage of tobacco products. Cancer disease goes through four stages. In the first stage, the cancer hasn't significantly grown. In the second stage, the cancer has noticeably grown. The chance of the tumour spreading to other areas exists in the third stage. It would expand to more body organs in the fourth stage. The main types of cancer are Leukemia that is called blood cancer, Sarcoma that damages the connective tissues, Melanoma that damages pigmentation cells and Carcinoma that damages the organs. When the shape of the body proteins are irregular and form lumps with each other, they become Amyloid deposits

Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of: How data flows through the deep-learning network and the role the computation graphs play in building your model How accelerated computing speeds up your training and how best you can utilize the resources at your disposal How to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism How to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training Debugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training How to expedite the training lifecycle and streamline your feedback loop to iterate model development A set of data tricks and techniques and how to apply them to scale your training model How to select the right tools and techniques for your deep-learning project Options for managing the compute infrastructure when running at scale

"Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With this hands-on guide, product managers, data analysts, and data scientists will learn how to add value to data by cleansing, analyzing, and resolving datasets using open source Python libraries and cloud APIs. Author Michael Shearer shows you how to scale up your data matching processes and improve the accuracy of your reconciliations. You'll be able to remove duplicate entries within a single source and join disparate data sources together when common keys aren't available. Using real-world data examples, this book helps you gain practical understanding to accelerate the delivery of real business value. This book covers: challenges in deduplicating and joining datasets; extracting, cleansing, and preparing datasets for matching; text matching algorithms to identify equivalent entities; techniques for deduplicating and joining datasets at scale; matching datasets containing persons and organizations; optimizing and tuning data matching algorithms; entity resolution using cloud APIs; matching using privacy-enhancing technologies. With entity resolution, you'll build rich and comprehensive data assets that reveal relationships for marketing and risk management purposes, key to harnessing the full potential of machine learning and AI."--

The AI Cloud WarsCONVERSATIONAL CHAT INFORMATIVE BOOK The AI Cloud Wars is a term used to describe the ongoing competition between the world's top cloud computing vendors to dominate the market for AI-powered cloud services. These vendors, including Microsoft, Amazon Web Services (AWS), Google Cloud Platform (GCP), IBM Cloud, and Alibaba Cloud, are investing heavily in developing and offering AI-powered cloud services that businesses can use to build and deploy AI applications.The AI Cloud Wars is driven by the increasing demand for AI-powered applications across a wide range of industries. Businesses are using AI to automate tasks, improve decision-making, and gain a competitive edge. The cloud computing model is well-suited for AI applications, as it provides businesses with access to the computing power, storage, and data they need to develop and deploy AI solutions.The AI Cloud Wars is having a significant impact on the cloud computing market. The vendors involved are constantly innovating and developing new AI-powered cloud services to attract customers. This is leading to a more competitive and dynamic cloud computing market, which is benefiting businesses of all sizes.The AI Cloud Wars is still in its early stages, and it is difficult to say which vendor will ultimately emerge as the leader. However, the competition is likely to continue to intensify as the demand for AI-powered cloud services grows. This is good news for businesses, as it will lead to a more competitive and innovative cloud computing market.The book, The AI Cloud Wars, provides a comprehensive overview of the AI cloud computing landscape, including the key players, the offerings, the strategies, and the impact of the AI Cloud Wars. It also explores the challenges and opportunities of AI cloud computing, and offers insights into the future of the market.

Harnessing AI for a More Just and Peaceful World: Preventing the Deep State and Global Race WarCONVERSATIONAL CHAT INFORMATIVE BOOKThe book Harnessing Artificial Intelligence for a More Just and Peaceful World: Preventing the Deep State and Global Race War is a thought-provoking and timely work that explores the potential of AI to address some of the most pressing challenges facing humanity today. The book's authors, Google AI's Bard and Abebe Gebre Woldemariam, argue that AI has the potential to be used to prevent the rise of the deep state, promote cross-cultural understanding, and prevent global race war.The book is divided into two chapters. The first chapter, Leveraging AI to Counter Misinformation and Extremism, examines how AI can be used to identify and combat misinformation and extremism online. The authors discuss how AI algorithms can be used to analyze vast amounts of data, identify patterns, and understand human behavior to detect and remove harmful content. They also discuss how AI can be used to promote media literacy and critical thinking skills among individuals, making them more resilient to misinformation and manipulation.The second chapter, Promoting Cross-cultural Understanding and Tolerance through AI, explores how AI can be used to promote cross-cultural understanding and tolerance. The authors discuss how AI-powered tools can foster cross-cultural communication, language translation, and cultural exchange. They also discuss how AI can be used to develop early warning systems and conflict resolution tools to prevent conflicts from escalating.Throughout the book, the authors emphasize the importance of ethical considerations and responsible AI development. They argue that AI should be developed and used in a way that is transparent, accountable, and aligned with ethical principles. They also call for human oversight and collaboration to ensure that AI interventions are effective and do not cause unintended harm.Harnessing Artificial Intelligence for a More Just and Peaceful World: Preventing the Deep State and Global Race War is an important and timely book that offers a valuable contribution to the debate about the future of AI. The book's authors make a compelling case for the potential of AI to address some of the most pressing challenges facing humanity today, and they provide a number of practical recommendations for ensuring that AI is developed and used in a responsible way. I highly recommend this book to anyone who is interested in the future of AI and its potential to make the world a better place.

This book provides comprehensive insights into the theory, models, and unique characteristics of intelligent reflecting surface (IRS) and its appealing applications in wireless information and power transmission for B5G/6G. It is organized as follows:Chapter 1 gives an overview of the fundamentals of IRS, including the signal and channel models of IRS, its hardware architecture, advantages and practical constraints. Chapter 2, 3 and 4 focus on how to optimize the joint design of active and passive beamforming for three types of IRS-aided wireless information/energy transmission systems, namely IRS-aided power transfer (WPT), IRS-aided simultaneous wireless information and power transfer (SWIPT) and IRS-aided wireless powered communication networks (WPCN).Chapter 2 specifically presents a general framework design for IRS-aided WPT systems from the perspectives of energy beamforming design and channel estimation, while the dynamic IRS beamforming design is also discussed.Chapter 3 thoroughly studies the IRS-aided SWIPT for achieving better R-E trade-off, wherein two different designs based on weighted sum-power maximization at energy users (EUs) and under individual quality-of-service (QoS), requirements at both information users (IUs) and EUs are investigated. Chapter 4 presents three paradigms of IRS-aided WPCN, i.e., IRS-aided half-duplex (HD) WPCN, IRS-aided full-duplex (FD) WCPN and IRS-aided multiple-input-multiple-output (MIMO) FD WPCN. The authors present some related emerging topics, e.g., active IRS aided wireless communications and IRS-aided unmanned aerial vehicle (UAV) communications in chapter 5.This book targets postgraduate students studying electrical engineering and computer science, and can be used as a secondary textbook. Professionals, researchers and engineers working in wireless networks will also find this book useful as a reference.

Perspectives on Artificial Intelligence in Times of Turbulence: Theoretical Background to Applications offers a comprehensive exploration of the intricate relationship between artificial intelligence (AI) and the ever-changing landscape of our society. The book defines AI as machines capable of performing tasks that were once exclusive to human cognition. However, it emphasizes the current limitations of AI, dispelling the notion of sophisticated cyborgs depicted in popular culture. These machines lack self-awareness, struggle with understanding context-especially in language-and are constrained by historical data and predefined parameters. This distinction sets the stage for examining AI's impact on the job market and the evolving roles of humans and machines. Rather than portraying AI as a threat, this book highlights the symbiotic relationship between humans and machines. It recognizes that while certain jobs may become obsolete, new opportunities will emerge. The unique abilities of human beings-such as relational skills, emotional intelligence, adaptability, and understanding of differences-will continue to be indispensable in a rapidly transforming society. Its perspectives cover a wide range of topics such as business sustainability, change management, cybersecurity, digital economy and transformation, information systems management, management models and tools, and continuous improvement are comprehensively addressed. Additionally, the book delves into healthcare, telemedicine, Health 4.0, privacy and security, knowledge management, learning, and presents real-world case studies. Designed for researchers and professionals seeking to enhance their knowledge and research capabilities, this book offers a consistent theoretical and practical foundation. It serves as a springboard for further studies, supports change management initiatives within organizations, and facilitates knowledge sharing among experts. This book is an essential companion for colleges with master's and Ph.D. degree investigators, and researchers across a wide range of disciplines.

Artificial intelligence, or simply AI, will completely revolutionize the world as we know it. With the advent of AI, there is one area that is more important than any other to turn to if we truly want to understand the consequences, pitfalls, and potentials that artificial intelligence holds: Arts and culture.This area is the purest embodiment of human creativity – and thus our unique ability to produce creative solutions, thoughts, and artworks.Ever since humans began to create cave paintings tens of thousands of years ago, arts and culture have constituted an active, explicit, and collective form of reflection on life and its fundamental conditions, dilemmas, and purposes. Artistic and creative practices have been uniquely human throughout these tens of thousands of years. No other living beings possess the human creative power or the ability to produce art.However, with AI, this is no longer the case. It may sound quite grim, but it is certain that AI will have a breakthrough and transform the world of arts and culture.So how should we understand the challenges that AI represents? And how can we turn them into opportunities that can strengthen the human qualities of arts and culture?These are the questions that Christian Have aims to provide the best possible answers to with this book. A book that, incidentally, was created in collaboration with AI.About the authorChristian Have is a communications expert, author, TV host, and owner of Scandinavia’s largest communications and PR agency within arts and culture, HAVE Communications & PR.Have is a culture and media advisor, a regular opinion contributor to the newspaper Avisen Danmark, and a sought-after moderator and speaker, both nationally and internationally.Throughout his career, Christian has published ten books on media development and the societal position and significance of arts and culture, and he has defined communicating culture as a unique discipline.In recent years, he has had a strong focus on the digital world and the impact of new technologies on societal and organizational structures – and on individual consciousness.

Computer Vision & Laser Vibrometry, Volume 6: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the sixth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Computer Vision, Laser Vibrometry and Structural Health Monitoring, including papers on:Novel TechniquesOptical Methods,Scanning LDV MethodsPhotogrammetry & DICStructural Health Monitoring

This book constitutes the refereed proceedings of the 5th International Conference on Science of Cyber Security, SciSec 2023, held in Melbourne, VIC, Australia, during July 11¿14, 2023. The 21 full papers presented together with 6 short papers were carefully reviewed and selected from 60 submissions. The papers are organized in the topical sections named: ¿ACDroid: Detecting Collusion Applications on Smart Devices; Almost Injective and Invertible Encodings for Jacobi Quartic Curves; Decompilation Based Deep Binary-Source Function Matching.