Kunstig intelligens

This book explores the cognitive plausibility of computational language models and why it¿s an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational language models by linking signals of cognitive processing load in humans to interpretability methods that allow for exploration of the hidden mechanisms of neural models. The book identifies limitations when applying the existing methodology for representational analyses to contextualized settings and critiques the current emphasis on form over more grounded approaches to modeling language. The authors discuss how novel techniques for transfer and curriculum learning could lead to cognitively more plausible generalization capabilities in models. The book also highlights the importance of instance-level evaluation and includes thorough discussion of the ethical considerations that may arise throughout the various stages of cognitive plausibility research.

This book provides two new optimization algorithms to address real optimization problems. Optimization is a fundamental concept in engineering and science, and its applications are needed in many fields. From designing products and systems to developing algorithms and models, optimization plays a critical role in achieving efficient and effective solutions to complex problems. Optimization algorithms inspired by nature have proven effective in solving a wide range of problems, including those in engineering, finance, and machine learning. These algorithms are often used when traditional optimization techniques are impractical due to the size or complexity of the problem. In this book, we are presenting two new optimization algorithms inspired by plant roots and the Mycorrhiza Network. The first algorithm is called the Continuous Mycorrhiza Optimization Algorithm (CMOA), which was proposed based on the model of the Continuous Lotka-Volterra System Equations. The second algorithm is called the Discrete Mycorrhiza Optimization Algorithm (DMOA), which design based on the model of Discrete Lotka-Volterra System Equations. By mastering the proposed algorithms, the readers able to develop innovative solutions that improve efficiency, reduce costs, and improve performance in the corresponding field of work.

This volume comprises the proceedings of the International Workshop, ShapeMI 2023, which took place alongside MICCAI 2023 on October 8, 2023, in Vancouver, British Columbia, Canada.The 23 selected full papers deal with all aspects of leading methods and applications for advanced shape analysis and geometric learning in medical imaging.

The aim of this book is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to the emerging areas of broad-band and wireless computing. Information networks of today are going through a rapid evolution. Different kinds of networks with different characteristics are emerging and they are integrating in heterogeneous networks. For these reasons, there are many interconnection problems which may occur at different levels of the hardware and software design of communicating entities and communication networks. These kinds of networks need to manage an increasing usage demand, provide support for a significant number of services, guarantee their QoS, and optimize the network resources. The success of all-IP networking and wireless technology has changed the ways of living the people around the world. The progress of electronic integration and wireless communications is going to pave the way to offer people the access to the wireless networks on the fly, based on which all electronic devices will be able to exchange the information with each other in ubiquitous way whenever necessary.

This book constitutes the proceedings of the 12th International Congress on Telematics and Computing, WITCOM 2023, held in Puerto Vallarta, Mexico, in November 2023. The 35 full papers presented in this volume were carefully reviewed and selected from 88 submissions. The papers are focused on the topics of artificial intelligence techniques, data science, blockchain, environment monitoring, cybersecurity, education, and software for communications protocols.

This volume constitutes the refereed proceedings of the 9th International Conference of the Immersive Learning Network, iLRN 2023, held in San Luis Obispo, USA, in June 2023 as a hybrid event.The 26 revised full papers and 13 shprt papers presented in this volume were carefully reviewed and selected from 110 submissions. The papers are organized in topical sections on foundations in immersive learning research and theory; assessment and evaluation; galleries, libraries, archives and museums; inclusion, diversity, equity, access, and social justice; STEM education; language, culture and heritage; nature & environmental sciences; workforce development & industry training; self and co-regulated learning with immersive learning environments; special track: immersive learning across Latin America: state of research, use cases and projects.

This book constitutes the refereed proceedings of the 21st International Conference on Software Engineering and Formal Methods, SEFM 2023, held in Eindhoven, The Netherlands, during November 6-10, 2023.The 18 regular papers presented in this book, together with 1 invited paper and 1 tool paper, were carefully reviewed and selected from 41 submissions. The SEFM conference series aims to bring together researchers and practitioners from academia, industry and government, to advance the state of the art in formal methods, to facilitate their uptake in the software industry, and to encourage their integration within practical software engineering methods and tools.

This monograph introduces a novel multiset-based conceptual, mathematical and knowledge engineering paradigm, called multigrammatical framework (MGF), used for planning and scheduling in resource-consuming, resource-producing (industrial) and resource-distributing (economical) sociotechnological systems (STS). This framework is meant to enable smart operation not only in a "e;business-as-usual"e; mode, but also in extraordinary, highly volatile or hazardous environments. It is the result of convergence and deep integration into a unified, flexible and effectively implemented formalism operating on multisets of several well-known paradigms from classical operations research and modern knowledge engineering, such as: mathematical programming, game theory, optimal scheduling, logic programming and constraint programming. The mathematical background needed for MGF, its algorithmics, applications, implementation issues, as well as its nexus with known models from operations research and theoretical computer science areas are considered. The resilience and recovery issues of an STS are studied by applying the MGF toolkit and on paying special attention to the multigrammatical assessment of resilience of energy infrastructures. MGF-represented resource-based games are introduced, and directions for further development are discussed. The author presents multiple applications to business intelligence, critical infrastructure, ecology, economy and industry. This book is addressed to scholars working in the areas of theoretical and applied computer science, artificial intelligence, systems analysis, operations research, mathematical economy and critical infrastructure protection, to engineers developing software-intensive solutions for implementation of the knowledge-based digital economy and Industry 4.0, as well as to students, aspirants and university staff. Foundational knowledge of set theory, mathematical logic and routine operations on data bases is needed to read this book. The content of the monograph is gradually presented, from simple to complex, in a well-understandable step-by-step manner. Multiple examples and accompanying figures are included in order to support the explanation of the various notions, expressions and algorithms.

A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, and more reliable models.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesInterpret real-world data, including cardiovascular disease data and the COMPAS recidivism scoresBuild your interpretability toolkit with global, local, model-agnostic, and model-specific methodsAnalyze and extract insights from complex models from CNNs to BERT to time series modelsBook DescriptionInterpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models.Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps.In addition to the step-by-step code, you'll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability.By the end of the book, you'll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.What you will learnProgress from basic to advanced techniques, such as causal inference and quantifying uncertaintyBuild your skillset from analyzing linear and logistic models to complex ones, such as CatBoost, CNNs, and NLP transformersUse monotonic and interaction constraints to make fairer and safer modelsUnderstand how to mitigate the influence of bias in datasetsLeverage sensitivity analysis factor prioritization and factor fixing for any modelDiscover how to make models more reliable with adversarial robustnessWho this book is forThis book is for data scientists, machine learning developers, machine learning engineers, MLOps engineers, and data stewards who have an increasingly critical responsibility to explain how the artificial intelligence systems they develop work, their impact on decision making, and how they identify and manage bias. It's also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a good grasp of the Python programming language is needed to implement the examples.Table of ContentsInterpretation, Interpretability and Explainability; and why does it all matter?Key Concepts of InterpretabilityInterpretation ChallengesGlobal Model-agnostic Interpretation MethodsLocal Model-agnostic Interpretation MethodsAnchors and Counterfactual ExplanationsVisualizing Convolutional Neural NetworksInterpreting NLP TransformersInterpretation Methods for Multivariate Forecasting and Sensitivity AnalysisFeature Selection and Engineering for InterpretabilityBias Mitigation and Causal Inference MethodsMonotonic Constraints and Model Tuning for InterpretabilityAdversarial RobustnessWhat's Next for Machine Learning Interpretability?

Elevate your natural language processing skills with Gensim and become proficient in handling a wide range of NLP tasks and projectsKey FeaturesAdvance your NLP skills with this comprehensive guide covering detailed explanations and code practicesBuild real-world topical modeling pipelines and fine-tune hyperparameters to deliver optimal resultsAdhere to the real-world industrial applications of topic modeling in medical, legal, and other fieldsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionNavigating the terrain of NLP research and applying it practically can be a formidable task made easy with The Handbook of NLP with Gensim. This book demystifies NLP and equips you with hands-on strategies spanning healthcare, e-commerce, finance, and more to enable you to leverage Gensim in real-world scenarios.You'll begin by exploring motives and techniques for extracting text information like bag-of-words, TF-IDF, and word embeddings. This book will then guide you on topic modeling using methods such as Latent Semantic Analysis (LSA) for dimensionality reduction and discovering latent semantic relationships in text data, Latent Dirichlet Allocation (LDA) for probabilistic topic modeling, and Ensemble LDA to enhance topic modeling stability and accuracy.Next, you'll learn text summarization techniques with Word2Vec and Doc2Vec to build the modeling pipeline and optimize models using hyperparameters. As you get acquainted with practical applications in various industries, this book will inspire you to design innovative projects. Alongside topic modeling, you'll also explore named entity handling and NER tools, modeling procedures, and tools for effective topic modeling applications.By the end of this book, you'll have mastered the techniques essential to create applications with Gensim and integrate NLP into your business processes.What you will learnConvert text into numerical values such as bag-of-word, TF-IDF, and word embeddingUse various NLP techniques with Gensim, including Word2Vec, Doc2Vec, LSA, FastText, LDA, and Ensemble LDABuild topical modeling pipelines and visualize the results of topic modelsImplement text summarization for legal, clinical, or other documentsApply core NLP techniques in healthcare, finance, and e-commerceCreate efficient chatbots by harnessing Gensim's NLP capabilitiesWho this book is forThis book is for data scientists and professionals who want to become proficient in topic modeling with Gensim. NLP practitioners can use this book as a code reference, while students or those considering a career transition will find this a valuable resource for advancing in the field of NLP. This book contains real-world applications for biomedical, healthcare, legal, and operations, making it a helpful guide for project managers designing their own topic modeling applications.Table of ContentsIntroduction to NLPWord EmbeddingText Wrangling and PreprocessingLatent Semantic Analysis with scikit-learnCosine SimilarityLatent Semantic Indexing with GensimUsing Word2VecDoc2Vec with GensimUnderstanding Discrete DistributionsLatent Dirichlet AllocationLDA ModelingLDA VisualizationThe Ensemble LDA for Model StabilityLDA and BERTopicReal-World Use Cases

This book constitutes the proceedings of the 19th International Workshop on Security and Trust Management, STM 2023, co-located with the 28th European Symposium on Research in Computer Security, ESORICS 2023, held in The Hague, The Netherlands, during September 28th, 2023 The 5 full papers together with 4 short papers included in this volume were carefully reviewed and selected from 15 submissions. The workshop presents papers with topics such as security and privacy, trust models, security services, authentication, identity management, systems security, distributed systems security, privacy-preserving protocols.

P2P, Grid, Cloud, and Internet computing technologies have been very fast established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale.Grid Computing originated as a paradigm for high performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P Computing emerged as a new paradigm after client-server and web-based computing and has shown useful to the development of social networking, Business to Business (B2B), Business to Consumer (B2C), Business to Government (B2G), Business to Employee (B2E), and so on. Cloud Computing has been defined as a ¿computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits¿. Cloud computing has fast become the computing paradigm with applicability and adoption in all application domains and providing utility computing at large scale. Finally, Internet Computing is the basis of any large-scale distributed computing paradigms; it has very fast developed into a vast area of flourishing field with enormous impact on today¿s information societies serving thus as a universal platform comprising a large variety of computing forms such as Grid, P2P, Cloud, and Mobile computing. The aim of the book is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to P2P, Grid, Cloud, and Internet Computing as well as to reveal synergies among such large-scale computing paradigms.

This book provides a new model to explore discoverability and enhance the meaning of information. The authors have coined the term epidata, which includes items and circumstances that impact the expression of the data in a document, but are not part of the ordinary process of retrieval systems.  Epidata affords pathways and points to details that cast light on proximities that might otherwise go unknown.  In addition, epidata are clues to mis-and dis-information discernment.  There are many ways to find needed information; however, finding the most useable information is not an easy task.  The book explores the uses of proximity and the concept of epidata that increases the probability of  finding functional information.  The authors sketch a constellation of proximities, present examples of attempts to accomplish proximity, and provoke a discussion of the role of proximity in the field. In addition, the authors suggest that proximity is a thread between retrieval constructs based on known topics, predictable relations, and types of information seeking that lie outside constructs such as browsing, stumbling, encountering, detective work, art making, and translation.

In ancient games such as chess or go, the most brilliant players can improve by studying the strategies produced by a machine. Robotic systems practice their own movements. In arcade games, agents capable of learning reach superhuman levels within a few hours. How do these spectacular reinforcement learning algorithms work? With easy-to-understand explanations and clear examples in Java and Greenfoot, you can acquire the principles of reinforcement learning and apply them in your own intelligent agents. Greenfoot (M.Klling, King's College London) and the hamster model (D. Bohles, University of Oldenburg) are simple but also powerful didactic tools that were developed to convey basic programming concepts. The result is an accessible introduction into machine learning that  concentrates on reinforcement learning. Taking the reader through the steps of developing intelligent agents, from the very basics to advanced aspects, touching on a variety of machine learning algorithms along the way, one is allowed to play along, experiment, and add their own ideas and experiments.  

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.

This book consists of selected peer-reviewed articles from the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks (CHSN-2020), held at JNTU, Kakinada, India. The theme and areas of the conference include vast scope for latest concepts and trends in communication engineering, information theory and networks, signal, image and speech processing, wireless and mobile communication, Internet of Things, and cybersecurity for societal causes and humanitarian applications.

This nonfiction work sheds light on the opportunities and challenges presented by artificial intelligence (AI) and the gifts of emotional intelligence (EI).

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning models Explore the details behind reinforcement learning and see how it's used in time series Understand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial markets Create technical indicators in Python and combine them with ML models for optimization Evaluate the models' profitability and predictability to understand their limitations and potential

Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate.

If you are aware of the potential of AI and ChatGPT and you want to learn how to make an income, but you don't know where to start, then this book is for you.In this book, I'll break down the complexities of AI into understandable, easy-to-apply concepts that anyone can grasp. Whether you are an entrepreneur, freelancer, student, or a 9-5 employee, this book can help you adapt and know how to monetize. We provide different business examples where you can use AI to scale quickly.Here are a few things we cover in the book:Various Plugins and Extensions: Discover the utility of various tools to enhance your use of ChatGPT.Unique Business Examples: Real-life examples of successful online businesses that can leverage AI to scale quicklyPersonalized Business Search: Learn techniques to identify and evaluate online business opportunities tailored to your skills, interests, and market trends.7 Life-Altering Hacks: The hacks are specific ways and tools to enhance your productivity, transform your life and improve your lifestyle. They have the power to revolutionize your life.Extensive Prompt Examples: We provide a diverse collection of prompt examples meticulously curated for various aspects of progress.Master Prompt Creation: on top of the examples, you get a practical guide for creating effective prompts, including handling lengthy and complicated ones for different aspects of life and business.Adapt AI to Life's Many Facets: Discover comprehensive strategies to integrate ChatGPT and AI into different aspects of life ( Business, learning productivity, and creativity)This book comes with a bonus gift, which is a downloadable PDF aimed at assisting you in exploring various career paths available to you, both within and outside of college. The PDF is loaded with valuable information about different industries, diverse jobs, and career trajectories that you could potentially use.This book will help you adapt and generate income streams with relevant skills you possess or could develop.You may be speculating whether this book will work for you or not. Let me tell you it will give you a foundation of what to do.If you're thinking..."Idk if it would help me or not": This book isn't just theoretical; We provide plenty of practical insights about AI and income. We provide you with business examples, all the ways to catch the AI trend, personalized business searches, and many other things that are practical. Take it, personalize it for you, and enhance it."I don't have a technical background": You don't need it. This book explains the concepts in a simple, easy-to-understand language, and AI is very simple to use."AI is a passing trend": NOT EVEN. AI is still in its infancy, and it's not going anywhere. On the contrary, it will become a more part of our lives as time passes. By 2050 AI will be even more prominent than it is now."The book's contents might become outdated quickly" The content in this book will still be relevant for years to come; we cover many aspects of how the world is going to look like in 2030 and beyond-expected changes, ways to make money that will still exist, and how to be prepared for the new economy.No matter your stage in life or level of AI knowledge, you stand to gain from this book. If you're ready to step into the world of AI and unlock a prosperous future. Make your move, and add this valuable resource to your cart today.

Remote Human-to-Human Virtual Reality (VR) & TraffickingAI Prevention Conversational chat informative bookRemote Human-to-Human Virtual Reality (VR) & Trafficking AI Prevention is a proposed program that would use artificial intelligence (AI) to prevent human trafficking in virtual reality (VR). The program would use a variety of AI techniques, including machine learning and deep learning, to detect suspicious activity in VR, identify victims and perpetrators of human trafficking, and educate and empower users about human trafficking and how to stay safe in VR.The program is still in the early stages of development, but it has the potential to be a powerful tool for preventing human trafficking in VR. VR is a new and emerging technology, and human traffickers have already begun to use it to exploit victims. AI can help to combat this by providing law enforcement and other organizations with the tools they need to identify and rescue victims of human trafficking in VR.The program is also designed to educate and empower users about human trafficking and how to stay safe in VR. This is important because many users are not aware of the risks associated with VR, and they may be more likely to be trafficked if they do not know how to protect themselves.Remote Human-to-Human Virtual Reality (VR) & Trafficking AI Prevention is a promising new initiative that has the potential to make a real difference in the fight against human trafficking.

CONVERSATIONAL CHAT INFORMATIVE BOOK "AI for covert stalking/terrorism or else covert stalking/terrorism for AI" refers to the potential for artificial intelligence (AI) to be used for both good and evil in the context of covert stalking/terrorism. On the one hand, AI could be used to develop new and sophisticated ways to prevent and combat covert stalking/terrorism. For example, AI could be used to identify potential stalkers/terrorists, to track their movements, or to disrupt their communications. On the other hand, AI could also be used by stalkers/ terrorists themselves

CONVERSATIONAL CHAT INFORMATIVE BOOKGhost frequencies and infrasound are two topics that have been of interest to paranormal investigators for many years. Ghost frequencies are said to be the sounds that ghosts make, while infrasound is a type of low-frequency sound that is below the range of human hearing.There is no scientific evidence to support the existence of ghost frequencies, but there is some evidence to suggest that infrasound can have a psychological effect on humans. For example, infrasound has been shown to cause anxiety, fear, and even hallucinations.In recent years, there has been some new research on the topic of ghost frequencies and infrasound. For example, a study published in the journal "Frontiers in Psychology" in 2021 found that infrasound can cause people to feel uneasy and anxious. The study also found that infrasound can make people more likely to believe in ghosts.Another study, published in the journal "PLOS One" in 2022, found that infrasound can cause people to experience hallucinations. The study found that infrasound can cause people to see and hear things that are not there.While these studies do not prove the existence of ghosts, they do suggest that infrasound can have a significant impact on human psychology. This suggests that infrasound may play a role in some of the paranormal experiences that people report.It is important to note that more research is needed to fully understand the impact of infrasound on humans. It is also important to note that infrasound is not the only explanation for paranormal experiences. There are many other possible explanations, such as psychological factors, environmental factors, and even fraud.Overall, the latest developments in the research on ghost frequencies and infrasound are intriguing. However, more research is needed to fully understand the impact of infrasound on humans and to determine whether it plays a role in paranormal experiences.

These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

This book explores new applications in the field of science and technology for healthcare systems. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to serve the major population of rural areas. Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions. It also helps the readers at various levels of knowledge to further enhance their understanding for new tools and smart solutions.

This book constitutes the refereed proceedings of the 16th International Conference on Similarity Search and Applications, SISAP 2023, held in A Coruña, Spain, during October 9¿11, 2023.The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: similarity queries, similarity measures, indexing and retrieval, data management, feature extraction, intrinsic dimensionality, efficient algorithms, similarity in machine learning and data mining.

These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023.The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.