Kunstig intelligens

Unshackle Your Potential: Discover How the Magic of AI Can Transform Your World Without a PhD in Computer Science!Are you captivated by the promises of Artificial Intelligence but overwhelmed by the jargon and complexities? Do you feel left behind in a world racing towards automation?Imagine unlocking the vault of AI's untapped potential to elevate your business, enhance your skills, and even propel your side hustle into a money-making machine. With this book, that reality is closer than you think.Hi, I'm Brendan. You don't need to be a tech whiz to decode the mysteries of AI; you need the right guide. With years of hands-on experience and a knack for breaking complex topics into everyday language, I'm your go-to guide on this thrilling journey.Prepare to embark on a transformative adventure that melds theory with practical, actionable steps. Whether you're a startup founder aiming for exponential growth, an individual looking to automate your skills, or a hustler seeking to carve a niche, this book is your roadmap.Master the art of integrating AI into your business, even if you're a non-techie.You can learn how to raise funds effectively for your AI startup.Unlock AI tools that amplify your skills, from writing to investment.Navigate the ethical minefields of AI.And that's just the tip of the iceberg. Dive in to unlock treasures of knowledge that are both timely and timeless.

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIV International Conference on Neuroinformatics, held on October 17-21, 2022, in Moscow, Russia.

This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.

This book presents a collection of high-quality research works and professional perspectives arising from the call for papers of the Privacy Symposium 2022; an international conference aimed towards the promotion of international dialogue, cooperation and knowledge sharing on data protection regulations, compliance and emerging technologies.Gathering legal and technology expertise, this publication provides cutting-edge perspectives on the convergence of international data protection regulations, as well as data protection compliance of emerging technologies, such as: Artificial Intelligence, e-health, blockchain, edge computing, Internet of things, V2X and Smart Grids.It includes selected papers from the Privacy Symposium conference 2022 (PSC 2022) call for papers, encompassing relevant topics, including:        international law and comparative law in data protection        cross-border data transfers        emerging technologies and data protection compliance        data protection by design        technologic solutions for data protection compliance        data protection good practices across industries and verticals        cybersecurity and data protection        assessment and certification of data protection compliance, and        data subject rights implementationThis publication includes papers authored by academics and professionals involved on various areas of data protection, technical, legal and compliance services.Chapter 10 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

This concise textbook introduces a systems approach to technology, describing tribological, mechatronic, cyber-physical systems, and the technologic concept of Industry 4.0 to students in a range of engineering domains. "e;Technology"e; in this book refers to the totality of human-made, benefit-oriented products, based on engineered combinations of material, energy and information. Dr. Czichos examines technology in this volume in the context of systems thinking with regard to the following main technology areasTechnical systems with "e;interacting surfaces in relative motion"e; especially in mechanical engineering, production, and transport; including the analysis of friction-induced energy losses and wear-induced materials dissipation. Technical systems that require a combination of mechanics, electronics, controls, and computer engineering for needs of industry and society. Technical systems with a combination of mechatronics and internet communication. Cyber-physical Systems for the digitalization of Industry in the development project Industry 4.0.Considers technology as combination of the physical world and the digital virtual world of information and communication.Describes the product cycle of technical systems and the corner stones of technology: material, energy and information.Presents a holistic view of technology and engineering.

This book constitutes the refereed post-conference proceedings of the Fifth IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2022, held in Amsterdam in October 2022.The 20 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: IoT for Smart Villages, Security and Safety, Smart Home, Development, Engineering, Machine Learning, and Applications.

The fundamental mode of communication among humans is speech and in the case of machine-human interface; verbal language has been believed as the natural method. When communication with machines is carried out, it is very difficult and slow-moving in magnitude when realized via keyboards, mouses and other devices. Thus, speech feed-in is an important constituent to making this communication easily accessible. Also, humans see speech as a great source of information. Therefore, persons who are not literate or have vague about computers can easily access computers by employing speech instructions. Even people with some physical disability who are not able to type or click with their hands can use their speech to operate the computer. Even people who are proficient in operating computers can speed up data entry, sending emails and other documents using the speech input methods. Furthermore, this mode of operation possesses many advantages. For example, while driving, the hands of the driver are busy steering the driving wheel and he cannot type on his mobile. In such a case speech is a good input option. GPS (Global Positioning System) is an example of a speech-based system being used. Another example is speech-enabled dialing, where the user can just ask the device to call a particular person, without dialing his number.The common and efficient means of communication among humans is through 'speech'. To process speech means to extract useful information from it, processing includes the implementation of electric signals on the acoustic pressure waves collected from human vocalization and applying mathematical analysis to it. The field of processing speech involves the natural operation of analysing speech, coding, augmentation, synthesis, and recognition. Analysis of speech is the study of its creation mechanism to make a mathematical model of physical phenomena. Speech coding aims to keep information about specific speech parameters for later retrieval. The method of refining precision and quality of speech which is noisy utilises various algorithms is recognized as speech enhancement [2]. Producing artificial human speech using coded information is known as the synthesis of speech. The method of inverse synthesis is the capability of a program or machine to classify the linguistic contents mixed up in the speech signal.

This book constitutes the refereed proceedings of the 11th Iberoamerican Conference on Applications and Usability of Interactive TV, jAUTI 2022, Cordoba, Spain, November 17¿18, 2022. The 9 full papers included in this book were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: Content Creation and Interaction, Audiovisual Consumption, e-inclusion, Digital Infrastructure.

This book constitutes the referred proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Virtual Event, February 6¿8, 2022. The 15 full papers included in this book were carefully reviewed and selected from 392 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP.

This book takes the notions of adaptivity and learning from the realm of engineering into the realm of biology and natural processes. It introduces a Hebbian-LMS algorithm, an integration of unsupervised Hebbian learning and supervised LMS learning in neural networks, as a mathematical representation of a general theory for synaptic learning in the brain, and adaptation and functional control of homeostasis in living systems. Written in a language that is able to address students and scientists with different backgrounds, this book accompanies readers on a unique journey through various homeostatic processes in living organisms, such as body temperature control and synaptic plasticity, explaining how the Hebbian-LMS algorithm can help understand them, and suggesting some open questions for future research. It also analyses cell signalling pathways from an unusual perspective, where hormones and hormone receptors are shown to be regulated via the principles of the Hebbian-LMS algorithm. It further discusses addiction and pain, and various kinds of mood disorders alike, showing how they can be modelled with the Hebbian-LMS algorithm.  For the first time, the Hebbian-LMS algorithm, which has been derived from a combination of Hebbian theory from the neuroscience field and the LMS algorithm from the engineering field of adaptive signal processing, becomes a potent model for understanding how biological regulation works. Thus, this book is breaking new ground in neuroscience by providing scientists with a general theory for how nature does control synaptic learning. It then goes beyond that, showing that the same principles apply to hormone-mediated regulation of physiological processes. In turn, the book tackles in more depth the concept of learning. It covers computer simulations and strategies for training neural networks with the Hebbian-LMS algorithm, demonstrating that the resulting algorithms are able to identify relationships between unknown input patterns. It shows how this can translate in useful ideas to understand human memory and design cognitive structures. All in all, this book offers an absolutely, unique, inspiring reading for biologists, physiologists, and engineers, paving the way for future studies on what we could call the nature's secret learning algorithm.

The book explores a new general approach to selecting-and designing-data processing techniques. Symmetry and invariance ideas behind this algebraic approach have been successful in physics, where many new theories are formulated in symmetry terms.The book explains this approach and expands it to new application areas ranging from engineering, medicine, education to social sciences. In many cases, this approach leads to optimal techniques and optimal solutions. That the same data processing techniques help us better analyze wooden structures, lung dysfunctions, and deep learning algorithms is a good indication that these techniques can be used in many other applications as well. The book is recommended to researchers and practitioners who need to select a data processing technique-or who want to design a new technique when the existing techniques do not work. It is also recommended to students who want to learn the state-of-the-art data processing.  

In both the database and machine learning communities, data quality has become a serious issue which cannot be ignored. In this context, we refer to data with quality problems as ¿dirty data.¿ Clearly, for a given data mining or machine learning task, dirty data in both training and test datasets can affect the accuracy of results. Accordingly, this book analyzes the impacts of dirty data and explores effective methods for dirty data processing.Although existing data cleaning methods improve data quality dramatically, the cleaning costs are still high. If we knew how dirty data affected the accuracy of machine learning models, we could clean data selectively according to the accuracy requirements instead of cleaning all dirty data, which entails substantial costs. However, no book to date has studied the impacts of dirty data on machine learning models in terms of data quality. Filling precisely this gap, the book is intended for a broad audience ranging from researchers inthe database and machine learning communities to industry practitioners.Readers will find valuable takeaway suggestions on: model selection and data cleaning; incomplete data classification with view-based decision trees; density-based clustering for incomplete data; the feature selection method, which reduces the time costs and guarantees the accuracy of machine learning models; and cost-sensitive decision tree induction approaches under different scenarios. Further, the book opens many promising avenues for the further study of dirty data processing, such as data cleaning on demand, constructing a model to predict dirty-data impacts, and integrating data quality issues into other machine learning models. Readers will be introduced to state-of-the-art dirty data processing techniques, and the latest research advances, while also finding new inspirations in this field.

This book aims to provide information about significant advances of Fuzzy Logic in software systems to researchers, scientists, educators, students, software engineers and developers. In particular, this book explains how Fuzzy Logic, can be used in software systems to automatically predict, model, decide, diagnose, recommend etc.. In more details, Fuzzy Logic is an artificial intelligent technique that is ideal for successfully addressing, , the uncertainty, imprecision and vagueness that exist in many diverse scientific and technological areas. It was introduced by Lotfi A. Zadeh of the University of California at Berkeley, as a methodology for computing with words. This ability of Fuzzy Logic allows the representation of imprecise and vague data in a more realistic way. Therefore, Fuzzy Logic-based systems can simulate the human reasoning and decision-making processes, addressing the human subjectivity. Fuzzy Logic-based software systems are referred to any software that concerns anautomated program or process that is used in everyday life, like heating or air-conditioning system, or in the scientific world, like a medical diagnostic system, which uses Fuzzy Logic in order to perform reasoning. A Fuzzy Logic-based system consists of three basic modules: Fuzzifier, Inference Engine and Defuzzifier. The Fuzzifier accepts as input numerical data and assigns them to fuzzy sets with some degree of membership, converting crisp data to fuzzy sets. The Inference Engine applies fuzzy rules over the defined fuzzy sets and produces outputs based on linguistic information. The Defuzzifier, converts fuzzy values into crisp values. The use of Fuzzy Logic in software systems constitutes a compelling and active research area in recent years, especially due to the increased interest in artificial intelligence. In the view of the above, this book presents thoroughly the Fuzzy Logic theory and the structure and operation of a Fuzzy Logic-based system. It also explains the role ofFuzzy Logic in artificial intelligence and smart applications, presenting how it can improve the efficiency and effectiveness of automatic processes and tasks. Furthermore, the book describes techniques of artificial intelligence with which the fuzzy logic is combined and how. Furthermore, this book presents several Fuzzy Logic-based software systems in the discipline of medicine, education, decision making and recommendation, natural language processing, automotive engineering and industry, heating, ventilation and air-conditioning, navigation, scheduling, network traffic and security. Thereby, this book can provide deep insights and valuable information not only to readers of computer science-related disciplines, but also to readers, who come from a variety of disciplines and are interesting in systems that perform tasks related to their discipline, in a more efficient way.

This book constitutes the refereed proceedings of the 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, held in Oslo, Norway, during September 18¿20, 2023. The 13 full papers and 3 short papers included in these proceedings were carefully reviewed and selected from 46 submissions. They focus on all aspects of theoretical advances; novel technologies; innovative applications; knowledge representation; reasoning with rules; and research, development, applications of rule-based systems.

This book focuses on a wide range of breakthroughs related to digital biometrics and forensics.  The authors introduce the concepts, techniques, methods, approaches and trends needed by cybersecurity specialists and educators for keeping current their biometrics and forensics knowledge. Furthermore, the book provides a glimpse of future directions where biometrics and forensics techniques, policies, applications, and theories are headed. Topics include multimodal biometrics, soft biometrics, mobile biometrics, vehicle biometrics, vehicle forensics, integrity verification of digital content, people identification, biometric-based cybercrime investigation, among others. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse digital biometrics and forensics experts in the listed fields and edited by prominent biometrics and forensics researchers and specialists.

This book develops a new system of modeling and simulations based on intelligence system. As we are directly moving from Third Industrial Revolution (IR3.0) to Fourth Industrial Revolution (IR4.0), there are many emergence techniques and algorithm that appear in many sciences and engineering branches. Nowadays, most industries are using IR4.0 in their product development as well as to refine their products. These include simulation on oil rig drilling, big data analytics on consumer analytics, fastest algorithm for large-scale numerical simulations and many more. These will save millions of dollar in the operating costs. Without any doubt, mathematics, statistics and computing are well blended to form an intelligent system for simulation and modeling. Motivated by this rapid development, in this book, a total of 41 chapters are contributed by the respective experts. The main scope of the book is to develop a new system of modeling and simulations based on machine learning, neural networks, efficient numerical algorithm and statistical methods. This book is highly suitable for postgraduate students, researchers as well as scientists that have interest in intelligent numerical modeling and simulations.

The Future of Computer System Design: AI-Augmented Optimization" delves into the exciting and transformative intersection of artificial intelligence (AI) and computer system design. In this groundbreaking exploration, readers are invited to embark on a journey that redefines the very essence of computing, propelling it into an era of unparalleled efficiency and innovation.The book dismantles traditional boundaries, demonstrating how AI, with its boundless capabilities, is seamlessly integrated into the core of computer system design. This fusion leads to a remarkable synergy, where the enduring principles of computing are supercharged by AI's ability to process vast amounts of data at lightning speed and make complex decisions with precision.One of the book's key contributions is its comprehensive exploration of AI-augmented optimization. By leveraging AI's cognitive prowess, computer systems can adapt, optimize, and evolve continuously, making them more adaptable and responsive to the ever-changing demands of today's digital landscape. From network architectures to hardware development, this revolutionary approach reshapes the very foundations of technology.The book isn't just theoretical; it provides concrete examples and practical applications across various domains, from data centers and cloud computing to the Internet of Things (IoT) devices and embedded computing systems. Readers will gain valuable insights into how this AI-driven transformation is reshaping industries, enhancing productivity, and delivering previously unimaginable solutions to complex problems.In essence, "The Future of Computer System Design: AI-Augmented Optimization" offers a compelling vision of the future of computing. It's a must-read for professionals, academics, and anyone with an interest in the cutting-edge advancements that will shape our digital world. With this book, readers will gain a profound understanding of how AI-augmented optimization is set to redefine computer system design, pushing the boundaries of what's possible and ensuring that technology continues to evolve in exciting and unprecedented ways

In a world burgeoning with technological innovation, Maximillian "Max" Turner, a programming prodigy and AI expert, stands on the brink of a discovery that could forever change humanity's fate. However, with the introduction of a new Artificial Intelligence machine, Max unveils something disconcerting: people are becoming dependent and susceptible to technological manipulation. AI, initially promising, begins to unlock the doors to a dystopian future where power and mind control become a reality.The race against time commences. Max, alongside his team of technology and cybersecurity specialists, must halt the machine before it eradicates the essence of humanity. Navigating through perilous paths and the dark recesses of technology, Max not only discovers the secrets of the machines but also explores the soul of man. Are we prepared for the future brought by AI development? Can we resist the allure of power and control?In a frantic pursuit where every decision may lead to tragic consequences, Max confronts not just the foes of technology but also his inner self. This is more than a battle for technology - it's a fight for the soul of mankind. Can Max and his team overcome the forces that view AI as a tool for domination? Can they salvage what it means to be human before it's too late? Welcome to the AI era, where tomorrow is as unpredictable as the code generating it. Brace yourself for a journey filled with tension, shocking twists, and choices that may impact the future of the entire globe. The world is at a crossroads. Will it dare to choose the right path?

Unlock the magic of AI storytelling, spoken translations, and culinary creativity, all with the capabilities of the ChatGPT API! Dive into a world where animals engage in riveting conversations - created by you. Choose any two animals, place them in any possible scenario, and not only will ChatGPT weave a whimsical story, but Dalle will also bring that narrative to life with a captivating and original illustration. But why stop at stories? Journey next into the realm of languages, where spoken words transform effortlessly from one tongue to another with the help of Whisper.Next, embrace your inner chef as you conjure up any three ingredients, only to receive a gourmet recipe in return.And for the grand finale, head right into the playful and challenging universe of puzzles, as you wield the power of Python and ChatGPT to craft your own irresistibly fun and brain-teasing themed word search puzzle book. Through these four novel applications, this book offers an exciting exploration of AI's vast capabilities and how they can be harnessed in imaginative ways. Let your creativity flourish with the endless possibilities of ChatGPT!

Secure Intelligent MachinesProtecting AI from CyberattackWe are poised on the edge of the greatest transformation in our world since the industrial revolution. Artificial intelligence, with its long and turbulent past, is fast approaching a critical mass that will drive innovation previously only seen in the realm of science fiction into an everyday reality. Caught up in the race to an AI-enabled future, businesses, institutions, and nation-states are pressured to keep up or risk falling behind and losing competitive edge. This momentum is leading many organizations on a path where artificial intelligence adoption will outpace legal, ethical, and technological risk mitigations. A reality not lost on cyber criminals and other nefarious actors that are on a parallel track to develop tactics for compromising, subverting, and exploiting AI-enabled technologies. This book combines years of practical cyber program development experience with innovative artificial intelligence research to forge a first-of-its-kind guide to establishing an enterprise AI cybersecurity program. Secure Intelligent Machines arms decision makers, technology leaders, and cybersecurity practitioners with the knowledge needed to solidify a path forward where an AI-Infused world is built on a foundation of trust and cyber resiliency that rise above the threats orchestrated by ill-intent threat actors.How artificial intelligence represents a fundamental shift in technology warranting a new cybersecurity approach.How to engage executive leaders and the broader workforce in AI cyber risk governance.Provides a holistic, risk-based approach to establishing AI cyber protections.Provides policy insights and workforce consideration for adapting to an AI-enabled future.Defines current-state and anticipated future-state AI attack tactics with corresponding defensive strategies.

The book discusses how Unmanned Aerial Vehicles (UAVs) can leverage the sub-6 GHz massive MIMO to address cell selection and interference issues in future wireless networks. The book takes a close look at utilizing UAVs to achieving direct and efficient device-to device (D2D) communications in the sky. Also, the key 6G enablers (cell-free architectures, artificial intelligence, reconfigurable intelligent surfaces, THz communications, and non-terrestrial networks) for UAV communication are broached, and the primary technological challenges of each enabler are discussed extensively. Furthermore, the book covers the design of adaptable UAVs to operate in diverse and harsh environmental conditions. Additionally, the existing UAVs' networking protocols and how these can be greatly enhanced to address the issue of intermittent network changes and channel impairments are discussed. The prospects and societal benefits envisioned in future UAVs are also presented.

Dive into the exciting world of cutting-edge technology with our comprehensive guide, "Machine Learning and Artificial Intelligence: A Journey through Data Science." Whether you're a seasoned data scientist or a curious beginner, this book takes you on a captivating journey through the realms of machine learning, artificial intelligence, and the mathematics that underpin them.Discover the FoundationsExplore the fundamental concepts that form the bedrock of machine learning and artificial intelligence, including Information Theory, Computational Science, and the Mathematics of Norms and Regularization.Master Data AnalysisEquip yourself with the tools of data exploration and analytics, uncovering insights in large datasets through techniques such as Data Mining, Euclidean and Hamming Distances, and Loss Functions.Unlock the Secrets of Supervised LearningGain expertise in predictive modeling with topics like Linear Regression, Statistical Learning Theory, and Statistical Hypothesis Testing. Understand how algorithms make decisions and why they work.Delve into ClassificationNavigate the intricate world of statistical classification, Binary Classification, Maximum Likelihood, Logistic Regression, and more. Uncover the nuances of separating data into meaningful categories.Unleash Unsupervised LearningHarness the power of unsupervised learning with Cluster Analysis, Dimensionality Reduction, and Principal Component Analysis. Learn how to find patterns in data when you don't have predefined labels.Embark on Reinforcement Learning AdventuresTake a deep dive into Reinforcement Learning, Decision Tree Learning, and Ensemble Learning. Discover how machines learn through interaction and decision-making.Navigate the Landscape of Deep LearningExplore the revolutionary world of Artificial Neural Networks and Deep Learning, the driving force behind modern AI applications.Master Advanced TechniquesConquer challenging concepts like Semi-Supervised Learning, Support Vector Machines, and the intricacies of Random Forests and Boosting.Achieve Data Science ExcellenceAscend to the pinnacle of data science with practical knowledge and real-world insights.Expertly Crafted for All LevelsWhether you're a beginner eager to dive into data science or an experienced practitioner seeking to expand your skillset, "Machine Learning and Artificial Intelligence" offers something for everyone.This book is your passport to the thrilling world of machine learning, artificial intelligence, and data scien