The Explainability of Experience

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Publisher : Oxford University Press
ISBN 13 : 0199350175
Total Pages : 320 pages
Book Rating : 4.1/5 (993 download)

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Book Synopsis The Explainability of Experience by : Ursula Renz

Download or read book The Explainability of Experience written by Ursula Renz and published by Oxford University Press. This book was released on 2018-07-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reconstructs Spinoza's theory of the human mind against the backdrop of the twofold notion that subjective experience is explainable and that its successful explanation is of ethical relevance, because it makes us wiser, freer, and happier. Doing so, the book defends a realist rationalist interpretation of Spinoza's approach which does not entail commitment to an ontological reduction of subjective experience to mere intelligibility. In contrast to a long-standing tradition of Hegelian reading of Spinoza's Ethics, it thus defends the notion that the experience of finite subjects is fully real.

The Explainability of Experience

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Author :
Publisher : Oxford University Press
ISBN 13 : 0199350167
Total Pages : 329 pages
Book Rating : 4.1/5 (993 download)

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Book Synopsis The Explainability of Experience by : Ursula Renz

Download or read book The Explainability of Experience written by Ursula Renz and published by Oxford University Press. This book was released on 2018 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reconstructs Spinoza's theory of the human mind against the backdrop of the twofold notion that subjective experience is explainable and that its successful explanation is of ethical relevance, because it makes us wiser, freer, and happier. Doing so, the book defends a realist rationalist interpretation of Spinoza's approach which does not entail commitment to an ontological reduction of subjective experience to mere intelligibility. In contrast to a long-standing tradition of Hegelian reading of Spinoza's Ethics, it thus defends the notion that the experience of finite subjects is fully real.

Explainable AI and User Experience. Prototyping and Evaluating an UX-Optimized XAI Interface in Computer Vision

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Author :
Publisher : GRIN Verlag
ISBN 13 : 3346873854
Total Pages : 157 pages
Book Rating : 4.3/5 (468 download)

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Book Synopsis Explainable AI and User Experience. Prototyping and Evaluating an UX-Optimized XAI Interface in Computer Vision by : Georg Dedikov

Download or read book Explainable AI and User Experience. Prototyping and Evaluating an UX-Optimized XAI Interface in Computer Vision written by Georg Dedikov and published by GRIN Verlag. This book was released on 2023-05-16 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2023 in the subject Computer Science - SEO, Search Engine Optimization, grade: 1,0, University of Regensburg (Professur für Wirtschaftsinformatik, insb. Internet Business & Digitale Soziale Medien), language: English, abstract: This thesis presents a toolkit of 17 user experience (UX) principles, which are categorized according to their relevance towards Explainable AI (XAI). The goal of Explainable AI has been widely associated in literature with dimensions of comprehensibility, usefulness, trust, and acceptance. Moreover, authors in academia postulate that research should rather focus on the development of holistic explanation interfaces instead of single visual explanations. Consequently, the focus of XAI research should be more on potential users and their needs, rather than purely technical aspects of XAI methods. Considering these three impediments, the author of this thesis derives the assumption to bring valuable insights from the research area of User Interface (UI) and User Experience design into XAI research. Basically, UX is concerned with the design and evaluation of pragmatic and hedonic aspects of a user’s interaction with a system in some context. These principles are taken into account in the subsequent prototyping of a custom XAI system called Brain Tumor Assistant (BTA). Here, a pre-trained EfficientNetB0 is used as a Convolutional Neural Network that can divide x-ray images of a human brain into four classes with an overall accuracy of 98%. To generate factual explanations, Local Interpretable Model-agnostic Explanations are subsequently applied as an XAI method. The following evaluation of the BTA is based on the so-called User Experience Questionnaire (UEQ) according to Laugwitz et al. (2008), whereby single items of the questionnaire are adapted to the specific context of XAI. Quantitative data from a study with 50 participants in each control and treatment group is used to present a standardized way of quantifying the dimensions of Usability and UX specifically for XAI systems. Furthermore, through an A/B test, evidence is presented that visual explanations have a significant (α=0.05) positive effect on the dimensions of attractiveness, usefulness, controllability, and trustworthiness. In summary, this thesis proves that explanations in computer vision not only have a significantly positive effect on trustworthiness, but also on other dimensions.

Social Computing and Social Media: Design, User Experience and Impact

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Publisher : Springer Nature
ISBN 13 : 3031050614
Total Pages : 694 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Social Computing and Social Media: Design, User Experience and Impact by : Gabriele Meiselwitz

Download or read book Social Computing and Social Media: Design, User Experience and Impact written by Gabriele Meiselwitz and published by Springer Nature. This book was released on 2022-06-16 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 13315 and 13316 constitutes the refereed proceedings of the 14th International Conference on Social Computing and Social Media, SCSM 2022, held as part of the 24rd International Conference, HCI International 2022, which took place in June-July 2022. Due to COVID-19 pandemic the conference was held virtually. The total of 1276 papers and 275 posters included in the 40 HCII 2022 proceedings volumes was carefully reviewed and selected from 5583 submissions. The papers of SCSM 2022, Part I, are organized in topical sections named: design and user experience in social media and social live streaming; text analysis and AI in social media; social media impact on society and business.

Research Challenges in Information Science

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Publisher : Springer Nature
ISBN 13 : 303050316X
Total Pages : 659 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Research Challenges in Information Science by : Fabiano Dalpiaz

Download or read book Research Challenges in Information Science written by Fabiano Dalpiaz and published by Springer Nature. This book was released on 2020-06-24 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Research Challenges in Information Sciences, RCIS 2020, held in Limassol, Cyprus, during September 23-25, 2020. The conference was originally scheduled for May 2020, but the organizing committee was forced to postpone the conference due to the outbreak of the COVID-19 pandemic. The scope of RCIS 2020 is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 26 full papers and 3 work in progress papers presented in this volume were carefully reviewed and selected from 106 submissions. They were organized in topical sections named: Data Analytics and Business Intelligence; Digital Enterprise and Technologies; Human Factors in Information Systems; Information Systems Development and Testing; Machine Learning and Text Processing; and Security and Privacy. The volume also contains 12 poster and demo-papers, and 4 Doctoral Consortium papers.

Interpretable Machine Learning

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Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

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Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

A Companion to Spinoza

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Publisher : John Wiley & Sons
ISBN 13 : 1119538645
Total Pages : 44 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis A Companion to Spinoza by : Yitzhak Y. Melamed

Download or read book A Companion to Spinoza written by Yitzhak Y. Melamed and published by John Wiley & Sons. This book was released on 2021-07-06 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: An unparalleled collection of original essays on Benedict de Spinoza's contributions to philosophy and his enduring legacy A Companion to Spinoza presents a panoramic view of contemporary Spinoza studies in Europe and across the Anglo-American world. Designed to stimulate fresh dialogue between the analytic and continental traditions in philosophy, this extraordinary volume brings together 53 original essays that explore Spinoza's contributions to Western philosophy and intellectual history. A diverse team of established and emerging international scholars discuss new themes and classic topics to provide a uniquely comprehensive picture of one of the most influential metaphysicians of all time. Rather than simply summarizing the body of existing scholarship, the Companion develops new ideas, examines cutting-edge scholarship, and suggests directions for future research. The text is structured around six thematically-organized sections, exploring Spinoza's life and background, his contributions to metaphysics and natural philosophy, his epistemology, politics, ethics, and aesthetics, the reception of Spinoza in the work of philosophers such as Kant, Schelling, Schopenhauer, and Hegel, and more. This unparalleled research collection combines a timely overview of the current state of research with deep coverage of Spinoza's philosophy, legacy, and influence. Part of the celebrated Blackwell Companions to Philosophy series, A Companion to Spinoza is an ideal text for advanced courses in modern philosophy, intellectual history, and the history of metaphysics, and an indispensable reference for researchers and scholars in Spinoza studies.

Skepsis and Antipolitics: The Alternative of Gustav Landauer

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Author :
Publisher : BRILL
ISBN 13 : 9004534571
Total Pages : 421 pages
Book Rating : 4.0/5 (45 download)

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Book Synopsis Skepsis and Antipolitics: The Alternative of Gustav Landauer by :

Download or read book Skepsis and Antipolitics: The Alternative of Gustav Landauer written by and published by BRILL. This book was released on 2022-12-12 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: One century after Gustav Landauer’s death, in a time marked by a deep doubt concerning modern politics, the volume proposes a fascinating overview of the articulation between skepsis and antipolitics in his multifaceted unconventional anarchism.

A System Architecture Approach to the Brain

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Publisher : Nova Publishers
ISBN 13 : 9781594544330
Total Pages : 372 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis A System Architecture Approach to the Brain by : L. Andrew Coward

Download or read book A System Architecture Approach to the Brain written by L. Andrew Coward and published by Nova Publishers. This book was released on 2005 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the integrated presentation of a large body of work on understanding the operation of biological brains as systems. The work has been carried out by the author over the last 22 years, and leads to a claim that it is relatively straightforward to understand how human cognition results from and is supported by physiological processes in the brain. This claim has roots in the technology for designing and manufacturing electronic systems which manage extremely complex telecommunications networks with high reliability, in real time and with no human intervention. Such systems perform very large numbers of interacting control features. Although there is little direct resemblance between such systems and biological brains, the ways in which these practical considerations force system architectures within some specific bounds leads to an understanding of how different but analogous practical considerations constrain the architectures of brains within different bounds called the Recommendation Architecture. These architectural bounds make it possible to relate cognitive phenomena to physiological processes.

Hands-On Explainable AI (XAI) with Python

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1800202768
Total Pages : 455 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Hands-On Explainable AI (XAI) with Python by : Denis Rothman

Download or read book Hands-On Explainable AI (XAI) with Python written by Denis Rothman and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces. Key FeaturesLearn explainable AI tools and techniques to process trustworthy AI resultsUnderstand how to detect, handle, and avoid common issues with AI ethics and biasIntegrate fair AI into popular apps and reporting tools to deliver business value using Python and associated toolsBook Description Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex. Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications. You will build XAI solutions in Python, TensorFlow 2, Google Cloud’s XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle. You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces. By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI. What you will learnPlan for XAI through the different stages of the machine learning life cycleEstimate the strengths and weaknesses of popular open-source XAI applicationsExamine how to detect and handle bias issues in machine learning dataReview ethics considerations and tools to address common problems in machine learning dataShare XAI design and visualization best practicesIntegrate explainable AI results using Python modelsUse XAI toolkits for Python in machine learning life cycles to solve business problemsWho this book is for This book is not an introduction to Python programming or machine learning concepts. You must have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn to make the most out of this book. Some of the potential readers of this book include: Professionals who already use Python for as data science, machine learning, research, and analysisData analysts and data scientists who want an introduction into explainable AI tools and techniquesAI Project managers who must face the contractual and legal obligations of AI Explainability for the acceptance phase of their applications

Interpreting Machine Learning Models

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Author :
Publisher : Apress
ISBN 13 : 9781484278017
Total Pages : 343 pages
Book Rating : 4.2/5 (78 download)

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Book Synopsis Interpreting Machine Learning Models by : Anirban Nandi

Download or read book Interpreting Machine Learning Models written by Anirban Nandi and published by Apress. This book was released on 2021-12-16 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand model interpretability methods and apply the most suitable one for your machine learning project. This book details the concepts of machine learning interpretability along with different types of explainability algorithms. You’ll begin by reviewing the theoretical aspects of machine learning interpretability. In the first few sections you’ll learn what interpretability is, what the common properties of interpretability methods are, the general taxonomy for classifying methods into different sections, and how the methods should be assessed in terms of human factors and technical requirements. Using a holistic approach featuring detailed examples, this book also includes quotes from actual business leaders and technical experts to showcase how real life users perceive interpretability and its related methods, goals, stages, and properties. Progressing through the book, you’ll dive deep into the technical details of the interpretability domain. Starting off with the general frameworks of different types of methods, you’ll use a data set to see how each method generates output with actual code and implementations. These methods are divided into different types based on their explanation frameworks, with some common categories listed as feature importance based methods, rule based methods, saliency maps methods, counterfactuals, and concept attribution. The book concludes by showing how data effects interpretability and some of the pitfalls prevalent when using explainability methods. What You’ll Learn Understand machine learning model interpretability Explore the different properties and selection requirements of various interpretability methods Review the different types of interpretability methods used in real life by technical experts Interpret the output of various methods and understand the underlying problems Who This Book Is For Machine learning practitioners, data scientists and statisticians interested in making machine learning models interpretable and explainable; academic students pursuing courses of data science and business analytics.

Spinoza's Religion

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Publisher : Princeton University Press
ISBN 13 : 0691176590
Total Pages : 286 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Spinoza's Religion by : Clare Carlisle

Download or read book Spinoza's Religion written by Clare Carlisle and published by Princeton University Press. This book was released on 2021-09-07 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bold reevaluation of Spinoza that reveals his powerful, inclusive vision of religion for the modern age Spinoza is widely regarded as either a God-forsaking atheist or a God-intoxicated pantheist, but Clare Carlisle says that he was neither. In Spinoza’s Religion, she sets out a bold interpretation of Spinoza through a lucid new reading of his masterpiece, the Ethics. Putting the question of religion centre-stage but refusing to convert Spinozism to Christianity, Carlisle reveals that “being in God” unites Spinoza’s metaphysics and ethics. Spinoza’s Religion unfolds a powerful, inclusive philosophical vision for the modern age—one that is grounded in a profound questioning of how to live a joyful, fully human life. Like Spinoza himself, the Ethics doesn’t fit into any ready-made religious category. But Carlisle shows how it wrestles with the question of religion in strikingly original ways, responding both critically and constructively to the diverse, broadly Christian context in which Spinoza lived and worked. Philosophy itself, as Spinoza practiced it, became a spiritual endeavor that expressed his devotion to a truthful, virtuous way of life. Offering startling new insights into Spinoza’s famously enigmatic ideas about eternal life and the intellectual love of God, Carlisle uncovers a Spinozist religion that integrates self-knowledge, desire, practice, and embodied ethical life to reach toward our “highest happiness”—to rest in God. Seen through Carlisle’s eyes, the Ethics prompts us to rethink not only Spinoza but also religion itself.

Human

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Publisher : Oxford University Press
ISBN 13 : 0190876379
Total Pages : 465 pages
Book Rating : 4.1/5 (98 download)

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Book Synopsis Human by : Karolina Hübner

Download or read book Human written by Karolina Hübner and published by Oxford University Press. This book was released on 2022 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume investigates what it means to be human. Is there something that makes us distinct from computers, other great apes, Martians, and gods? And what are the ethical and political consequences of how we answer this question? How have our views on this changed from the times of the ancient Greek and Chinese philosophers? What do contemporary evolutionary biologists and advocates of uploading human consciousness onto computers think about it? This volume collects new essays from leading scholars in philosophy, history, and other disciplines to explore these and numerous other questions.

Experience and Possibility

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Publisher : Oxford University Press
ISBN 13 : 0192642456
Total Pages : 288 pages
Book Rating : 4.1/5 (926 download)

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Book Synopsis Experience and Possibility by : Joseph Mendola

Download or read book Experience and Possibility written by Joseph Mendola and published by Oxford University Press. This book was released on 2021-01-11 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experience and Possibility concerns the modal ontology of experience. It investigates the detailed metaphysics of the colors, shapes, and other concrete properties present in our experience of ordinary concrete objects, and also of their spatial and temporal relations. It examines their experienced particularity, and the nature of their locations and material bits. This detailed concern with specific cases reveals many inadequacies of traditional ontology. But the central novelty of the book is an intense focus on the modal aspects of such experienced entities, and what it reveals about modality in general. The reality of such things would involve in surprising ways not merely what would hence be actual but also what would be merely possible. This supports a general conception of modality, of the possible and the necessary, according to which the actual and the possible are locally entwined and involve different types of being. The particulars, properties, and relations we experience involve distinctive forms of modal structure, characteristic of specific sorts of universals and irreducible particularities. When this experience is not veridical, when for instance the color we experience is somewhat misleading about reality, it is a puzzle how we have such experience nonetheless. Exploration of these forms of modal structure is groundwork for a new account of how our neurophysiology explains such misleading experience, how our physical structure delivers such qualia. This is sketched for the case of experienced color. Its core idea is that the apparent modal structure of things we experience is sometimes due to the actual modal structure of the neurophysiology that constitutes that experience.

Case-Based Reasoning Research and Development

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Publisher : Springer Nature
ISBN 13 : 3031401778
Total Pages : 428 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Case-Based Reasoning Research and Development by : Stewart Massie

Download or read book Case-Based Reasoning Research and Development written by Stewart Massie and published by Springer Nature. This book was released on 2023-07-29 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took place in Aberdeen, UK, in July 2023. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. The papers have been organized in topical sections as follows: CBR and deep learning; representation and similarity; CBR and explainable AI; case base maintenance; adaptation: techniques and application; and case-based applications.

Data Mining and Big Data

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Publisher : Springer
ISBN 13 : 3319938037
Total Pages : 792 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Data Mining and Big Data by : Ying Tan

Download or read book Data Mining and Big Data written by Ying Tan and published by Springer. This book was released on 2018-06-09 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications

Intelligent Computing

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Publisher : Springer Nature
ISBN 13 : 3031377176
Total Pages : 1492 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Intelligent Computing by : Kohei Arai

Download or read book Intelligent Computing written by Kohei Arai and published by Springer Nature. This book was released on 2023-10-02 with total page 1492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of insightful and unique state-of the-art papers presented at the Computing Conference which took place in London on June 22–23, 2023. A total of 539 papers were received out of which 193 were selected for presenting after double-blind peer-review. The book covers a wide range of scientific topics including IoT, Artificial Intelligence, Computing, Data Science, Networking, Data security and Privacy, etc. The conference was successful in reaping the advantages of both online and offline modes. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.