Informatik

This book constitutes the refereed proceedings of the 56th International Conference onAsia Pacific Advanced Network, APANConf 2023, held in, Colombo, Sri Lanka,during August 24¿25, 2023.The 10 full papers and 1 short papers included in this book were carefully reviewed andselected from 37 submissions. They are organized in topical sections as follows: artificial intelligence and machine learning, accelerated computing and distributed systems and communications and networking.

This book showcases recent trends in brain-computer interface development. It highlights fascinating results in areas such as language decoding, spinal cord stimulation to enable gait and to restore hand functions. The contributions are based on the 12 nominated brain-computer interface projects of the BCI Award 2022. Every year an international jury selects the most innovate BCI projects and nominates 12 projects before selecting the 1st, 2nd and 3rd place winners. In the book, each project is described in detail by the team of scientists behind it, and the editors provide a concluding discussion of the highlights and overall progress in the field.

This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2023, held in Krakow, Poland, during October 5¿8, 2023.The 43 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Rough Set Models, Foundations, Three-way Decisions, Granular Models, Distances and Similarities, Hybrid Approaches, Applications, Cybersecurity and IoT.

This volume LNCS 14396 constitutes the refereed proceedings of the 12th International Conference, MEDI 2023,in November 2023 ,held in Sousse, Tunisia.The 27 full papers were carefully peer reviewed and selected from 99 submissions. The Annual International Conference on Model and Data Engineering focuses on bring together researchers and practitioners and enabling them to showcase the latest advances in modelling and data management.

The European Summer School in Logic, Language and Information (ESSLLI) is organized every year by the Association for Logic, Language and Information (FoLLI) in different sites around Europe. The papers cover vastly dierent topics, but each fall in the intersection of the three primary topics of ESSLLI: Logic, Language and Computation. The 13 papers presented in this volume have been selected among 81 submitted papers over the years 2019, 2020 and 2021. The ESSLLI Student Session is an excellent venue for students to present their work and receive valuable feedback from renowned experts in their respective fields. The Student Session accepts submissions for three different tracks: Language and Computation (LaCo), Logic and Computation (LoCo), and Logic and Language (LoLa).

This book constitutes the proceedings of the 6th International Conference on Dynamics of Information Systems, DIS 2023, which took place in Prague, Czech Republic, in September 2023. The 18 full papers included in the book were carefully reviewed and selected from 43 submissions. They deal with topics ranging from theoretical, algorithmic, and practical perspectives in information systems, to offering readers valuable information, theories and techniques.

This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent influencing techniques and "tricks" participating in recent advances in deep clustering, as well as a recall of the main deep learning architectures. Secondly, the book highlights the most popular works by ¿family¿ to provide a more suitable starting point from which to develop a full understanding of the domain. Overall, the book proposes a comprehensive up-to-date review of deep feature selection and deep clustering methods with particular attention to the knowledge discovery question and under a multi-criteria analysis. The book can be very helpful for young researchers, non-experts, and R&D AI engineers.

This book constitutes the Revised Selected Papers of the Second International Conference, ICAETA 2023, held in Istanbul, Turkey, during March 10¿11, 2023.The 37 full papers included in this volume were carefully reviewed and selected from 139 submissions. The topics cover a range of areas related to engineering, technology, and applications. Main themes of the conference include, but are not limited to: Data Analysis, Visualization and Applications; Artificial Intelligence, Machine Learning and Computer Vision; Computer Communication and Networks; Signal Processing and Applications; Electronic Circuits, Devices, and Photonics; Power Electronics and Energy Systems.

This book constitutes the refereed proceedings of the 52nd Annual Conference of the Southern African Computer Lecturers' Association on ICT Education, SACLA 2023, held in Gauteng, South Africa, during July 19¿21, 2023. The 12 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: student centered teaching and learning; AI and future movements; programming; and beyond the classroom.

This book provides an in-depth examination of digital twin technology to take you on an enthralling trip across the intersection of the virtual and real worlds. It explores the transformational impact of digital twins, from their roots in engineering to their widespread applications in manufacturing, health care, and other areas. Real-world case studies highlight the practical benefits, while potential hazards are addressed wisely. This book is your guide to comprehending the present and visualizing a future where digital twins transform innovation, efficiency, and connectedness in our increasingly complicated world. Begin this illuminating trip and embrace the possibilities that exist at the intersection of the physical and digital worlds.

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which can be readily approximated by neural network models, permitting a formulation of quantum physics in which physical observables can be computed via neural networks. As well as demonstrating the natural affinity of quantum physics and machine learning, this viewpoint opens rich possibilities in terms of computation, efficient hardware, and scalability. One can also obtain trainable models to optimize applications and fine-tune theories, such as approximation of the ground state in many body systems, and boosting quantum circuits¿ performance. The book begins with the introduction of programming tools and basic concepts of machine learning, with necessary background material from quantum mechanics and quantum information also provided. This enables the basic building blocks, neural network models for vacuum states, to be introduced. The highlights that follow include: non-classical state representations, with squeezers and beam splitters used to implement the primary layers for quantum computing; boson sampling with neural network models; an overview of available quantum computing platforms, their models, and their programming; and neural network models as a variational ansatz for many-body Hamiltonian ground states with applications to Ising machines and solitons. The book emphasizes coding, with many open source examples in Python and TensorFlow, while MATLAB and Mathematica routines clarify and validate proofs. This book is essential reading for graduate students and researchers who want to develop both the requisite physics and coding knowledge to understand the rich interplay of quantum mechanics and machine learning.

Dive deep into the transformative world of digital services with E-service Digital Innovation, a masterful blend of academic rigor and real-world insights. This text dissects the complexities of user motivation, the symbiotic dance between digital innovations and societal structures, and the collaborative essence of value co-creation. Venture into the heart of banking¿s digital metamorphosis and unravel the strategies shaping today¿s digital business models. With chapters dedicated to the revolutionary Industry 5. 0, the transformative powers of AI and blockchain, and the resilience imperative in business continuity, this book stands as a beacon for scholars and practitioners alike. Beyond the urban digital realms, discover the nuanced dynamics of rural digital adoption and the future of e-service in higher education. Grasp the intricacies of instructional learning design, data monetization ethics, and the innovative potential of IoT in urban planning. E-Service Digital Innovation invites you to engage, learn, and emerge as a contributor to the ever-evolving digital landscape. Your journey toward understanding and shaping the digital future starts here. Key Advantages: ¿Comprehensive coverage: From user psychology to the avant-garde applications of digital innovation ¿Scholarly rigor: A seminal text for academics, researchers, and industry experts ¿Practical wisdom: Real-world insights to navigate and shape the digital future ¿Diverse perspectives: Topics range from AI in e-commerce to the transformative potential of self-financing cities

Gesture recognition (GR) aims to interpret human gestures, having an impact on a number of different application fields. This Special Issue is devoted to describing and examining up-to-date technologies to measure gestures, algorithms to interpret data, and applications related to GR. These technologies involve camera-based systems (e.g., ground truth system, GTS; Azura Kinect), wearable sensors (e.g., inertial measurement units, IMUs; micro electro-mechanical systems, MEMS; angular displacement sensors, ADS; resistive flex sensors, RFSs), electromagnetic field measurements (e.g., leap motion sensor), acoustic-based inputs (e.g., microphone, stethoscope), radar systems (e.g., continuous wave), and tactile sensors (e.g., pressure sensitive transistors). Data interpretations are detailed by means of classifiers (e.g., neural networks, NN; convolutional neural network, CNN; hidden Markov models, HMM; and k-nearest neighbors, kNN). The applications are for medical purposes (e.g., to provide physiotherapy solutions, to assess Parkinson's disease, and to electrocardiogram detection), for social inclusion (e.g., sign language recognition: British, American, and Italian ones), for sport activity scoring (e.g., taekwondo), for machine interaction (e.g., to control a holographic display), and for safety purposes (e.g., to drowsiness recognition). This Special Issue is addressed to all the researchers, professionals, and designers interested in GR and to all the users driven by curiosity and passion. The Guest Editors would like to acknowledge and express their gratitude to all of the authors involved.

Doubling Down on AI: A Two-Pronged Approach to Mitigate Risks and Maximize BenefitsUnderstanding the Proposed AI ActCONVERSATIONAL CHAT INFORMATIVE BOOKBy ABEBE- BARD AI WOLDEMARIAM The specter of AI looms large, promising both revolutionary advancements and unsettling societal shifts. While the EU's recent AI regulation attempts to steer innovation down a responsible path, potential pitfalls like rising inequality and mass unemployment threaten to cast a long shadow. This book proposes a two-pronged approach to both mitigate these risks and maximize AI's benefits: inequality insurance and unemployment mitigation strategies. The first prong, inequality insurance, envisions dynamic tax adjustments that redistribute wealth as AI disrupts income distribution. This not only prevents wealth from becoming concentrated in the hands of a few, but also provides flexibility for future governments and resonates with voters' moral principles. However, concerns regarding political feasibility, disincentives to work at high tax rates, and limitations in extreme cases of inequality must be addressed. The second prong tackles the specter of AI-driven unemployment by exploring options like guaranteed minimum income, subsidized wages, and adjusted corporate taxes. Each option carries its own pros and cons, demanding careful consideration of effectiveness, funding feasibility, and public acceptance. Importantly, inequality insurance itself can generate revenue through its dynamic tax system,potentially funding unemployment mitigation programs and reducing reliance on alternative sources. In conclusion, embracing a proactive two-pronged approach is crucial for navigating the promise and peril of AI. By mitigating its risks and maximizing its benefits, we can build a future where AI empowers a more equitable and secure society for all. The time for action is now, and this book offers a roadmap for policymakers to navigate the road ahead with purpose and foresight.

Entdecken Sie "IT- und KI-Grundwissen für Einsteiger" von Klaus-Dieter Sedlacek - das perfekte Buch, um in die Welt der Informationstechnologie und Künstlichen Intelligenz einzutauchen. In leicht verständlicher Sprache führt Sie dieses praxisnahe Werk durch die Grundlagen der IT, von Hardware bis Netzwerken, Sicherheit und Programmierung. Im zweiten Teil tauchen Sie in die faszinierende Welt der KI ein, lernen Machine Learning und Deep Learning kennen und erfahren, wie KI unseren Alltag beeinflusst. Mit Wiederholungsfragen, Antworten und wertvollen Ressourcen bietet dieses Buch eine solide Grundlage für IT und KI. Egal, ob Sie beruflich oder persönlich interessiert sind, dieses Buch bringt Ihnen das nötige Grundwissen auf kurzweilige Weise näher.

The AI Success Route is your roadmap to achieving success in the AI era. The AI Success Route embarks on a compelling journey through the cutting-edge world of artificial intelligence (AI), and it explores the keys to unlocking this technology's full potential for your personal success. This book is your ultimate guide to navigating the complex landscape of AI, demystifying the technology that is all the rage today, and harnessing it to drive success in your personal and professional life. As the technological landscape continues to change, AI has emerged as the transformative force that is reshaping industries, creating new opportunities, and challenging the status quo. Inside the AI Success Route, we will:· Delve into the strategies, tools, and knowledge required to thrive in this new era.· Address the ethical dimension of AI by exploring the responsibilities of individuals and organizations in the development of this technology, and· Discuss issues such as bias in AI, privacy concerns, and the impact of AI on society. Whether you aim to advance your career, improve your grades, start a side hustle, invest, find a partner, get your health in check, or simply stay informed about the transformative technology that is AI, this book equips you with the knowledge and tools necessary to chart your course. The AI Success Route empowers you to become a proactive participant in the AI revolution rather than a passive observer. Don't fear AI. It's already a part of our everyday lives. It's now time to use it for your own advantage and success. So don't delay, order your copy today.

The AI technological revolution is here! "The Million-Dollar Dialogue" is your essential guide to mastering brainstorming, creative and winning idea creation using ChatGPT. Dive into the art of prompt engineering and learn how to craft compelling prompts that unlock AI's vast potential.This book demystifies AI, making it accessible for everyone, regardless of technical background. Discover how to brainstorm effectively with AI, challenge assumptions, and synthesize innovative ideas across various fields. Benefit from practical strategies, including iterative refinement and expansion, to turn abstract concepts into concrete, actionable plans.Whether you're an entrepreneur, writer, or innovator, "The Million-Dollar Dialogue" equips you with the tools and insights to harness AI for generating ground-breaking ideas. Transform your approach to problem-solving and creativity, and embark on a journey to unlock million-dollar ideas with the power of AI dialogue.Besides explanations of principles and methods, this book also contains a selection of unique prompts, powerful custom instructions, and super-prompts for ChatGPT.

Struggling with leadership burnout? Turn AI into your 24/7 Executive Coach with this leadership development book tailored for the modern leader. Embark on a journey of transformation with our book, featuring 111 revolutionary prompts paired with their powerful formulas. Tailor them to your role and industry and become the visionary leader your organization seeks. Compatible with ChatGPT, Microsoft Copilot, Bing Chat, Google Bard & more.Through AI prompt engineering and AI prompting, this coaching book bridges the gap between traditional leadership methods and the futuristic approach of AI prompts for business. Whether you're a seasoned CEO or an aspiring leader, this book is an essential addition to your business book collection. It's a transformative tool that caters to anyone looking to refine their business strategy & leadership skills.The Pivotal Benefits This Book Offers You: Cut through Chaos: Enhance leadership with focused AI prompts. Boost Performance: Elevate teams with top business book strategies. Adapt with Coaching: Transform rigid methods into dynamic leadership. Drive Innovation: Foster leaders using AI prompt techniques. Build Confidence: Gain insights for decisive leadership with AI ChatGPT prompts.Bonus Material Exclusive to This Book: Exclusive access to 'My Coaching, Mentoring & Leadership Advisor' GPT: It offers personalized leadership, coaching, and mentoring guidance, significantly enhancing your professional growth. GPT was developed with OpenAI's GPT technology.222 AI Interaction-Based Prompt Examples: Use real-world AI prompt examples to elevate your coaching abilities. E-copy of the book: Maximize your efficiency with our PDF. Effortlessly copy, paste, and tailor prompts to your needs. No retyping!In-Depth AI ChatGPT Exploration Guide: Comprehensive guide breaks down AI intricacies, offering an easy approach to incorporating AI tactics into your work. Ideal for novices & experts.1100 Follow-Up Prompts: With the extensive follow-up prompts, you're equipped to continually innovate and inspire, transforming each interaction with the Chatbot into a learning opportunity.Why Is This Book Your Next-Level Leadership Investment?From ROI Worries to ROI Wins: The ROI of integrating AI prompts extends beyond dollars, fueling your leadership skills development.From Tech Phobia to Tech Fluency: Perfect for those new to AI, this mentoring book ensures business coaching success.Who Needs This Book?Transforming Aspirations: Essential for professionals using unique business management books to lead the way. Mentor's Guide: Ideal for coaches teaching business leadership nuances. Achieving Results: Perfect for organizations using AI prompts to exceed objectives. Maximizing Efficiency: Crucial for leaders focused on impactful time and resource use.This is not your average leadership book; it's a tactical toolkit, powered by AI, designed to elevate your impact, and rewrite the rules of what effective business and leadership looks like.Click "Buy Now" today to transition from your current challenges to an era of AI-enabled coaching, mentoring, and leadership.

This book proposes alternative ways to engage with computer security, rooted in Science and Technology Studies (STS) and extensive ethnographic observations. Computer security, the author argues, is part of living in the Anthropocene ¿ an age of damaged more-than-human relations. As such, doing computer security means not striving for technical solutions, or individual awareness, but living with fragility. The book suggests conceptual approaches and methods of studying computer security which contribute to current debates on infrastructural breakdown and ecological ruins in STS and Anthropology, while offering new perspectives to Usable Security and Critical Security Studies.

With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services.A ¿spatial data management system¿ is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things.