Computer Vision Systems

THE INSTANT NEW YORK TIMES BESTSELLER'A compelling vision of where the internet should go and how to get there.' Sam Altman, CEO, OpenAI_A potent exploration of the power of blockchains to reshape the future of the internet - and how that affects us all - from technology entrepreneur and startup investor Chris Dixon.The internet of today is a far cry from its early promise of a decentralized, democratic network of innovation, connection and freedom. In the past decade, it has fallen almost entirely under the control of a very small group of companies like Apple, Google, and Facebook.In Read Write Own, tech visionary Chris Dixon argues that the dream of a creative, entrepreneurial internet doesn't have to die and can, in fact, be saved with blockchain networks. He separates this movement, which aims to provide a solid foundation for everything from social networks to artificial intelligence to virtual worlds, from cryptocurrency speculation - a distinction he calls 'the computer vs the

THE INSTANT NEW YORK TIMES BESTSELLER‘A compelling vision of where the internet should go and how to get there.’ Sam Altman, CEO, OpenAI_A potent exploration of the power of blockchains to reshape the future of the internet – and how that affects us all – from technology entrepreneur and startup investor Chris Dixon. The internet of today is a far cry from its early promise of a decentralized, democratic network of innovation, connection and freedom. In the past decade, it has fallen almost entirely under the control of a very small group of companies like Apple, Google, and Facebook.In Read Write Own, tech visionary Chris Dixon argues that the dream of a creative, entrepreneurial internet doesn’t have to die and can, in fact, be saved with blockchain networks. He separates this movement, which aims to provide a solid foundation for everything from social networks to artificial intelligence to virtual worlds, from cryptocurrency speculation – a distinction he calls ‘the computer vs the

This book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories. Combining an introduction to relevant concepts related to automatic storytelling with accessible descriptions of well-known computer programs that illustrate how such concepts are employed, the book is aimed at an interdisciplinary audience and assumes little or no background in computer science. The book introduces the most relevant techniques employed over the last 60 years for the development of computer models for narrative generation, including narrative templates, problem-solving, planning, author engagement and reflection, and statistical methods such as deep neural networks, ending with an examination of the societal implications of the development of automatic narrative generator systems.

本書序言Principles of Physics 12th edition includes several new areas of research intrigue and new text discussions, including:The first image of a black hole, and the detection of gravitational waves.Several sample problems on autonomous cars, in which computer systems calculate safe driving.Cancer radiation therapy, including the use of Augur-Meitner electrons.New ways to look inside the human body without major invasive surgery, including robotic surgery using single-port incisions and optical fibers and magnetoencephalography (MEG) to monitor a person’s brain.More than 50% of the homework problems are new or revised.本書特色Halliday and Resnick's Principles of Physics, 12th edition, is an industry-leading resource in Physics teaching with expansive, insightful, and accessible treatments of a wide variety of subjects. Focusing on several contemporary areas of research and a wide array of tools that support students' active learning, this book guides students through the process of learning

Cybersecurity attacks grow more complex every day. The first edition of Wilson's COMPTIA PENTEST+ GUIDE TO PENETRATION TESTING helps you gain the knowledge and skills necessary to analyze systems in the same way hackers do. It provides the information you need to successfully pass the CompTIA PenTest+ PTO-002 certification exam and contains detailed examples, projects, and hands-on activities (including virtual machine labs and interactive online features) where you can practice using the actual tools and methodologies needed to be a successful penetration tester. The author begins by exploring the concept of penetration testing, and then walks you through the process of building your own penetration testing lab of virtual machines (hosted on your own computer, which is used to practice the use of pen testing tools and methods). A final project guides you in the creation of a penetration testing report that includes all the areas covered in earlier modules.

A new vision of the brain as a fully integrated, networked organ.Popular neuroscience accounts often focus on specific mind-brain aspects like addiction, cognition, or memory, but The Entangled Brain tackles a much bigger question: What kind of object is the brain? Neuroscientist Luiz Pessoa describes the brain as a highly networked, interconnected system that cannot be neatly decomposed into a set of independent parts. One can’t point to the brain and say, “This is where emotion happens” (or any other mental faculty). Pessoa argues that only by understanding how large-scale neural circuits combine multiple and diverse signals can we truly appreciate how the brain supports the mind.Presenting the brain as an integrated organ and drawing on neuroscience, computation, mathematics, systems theory, and evolution, The Entangled Brain explains how brain functions result from cross-cutting brain processing, not the function of segregated areas. Parts of the brain work in a coordinated fashion

An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience.Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots―autonomous systems modeled after some aspect of the brain―offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science.Neurorobotics covers

This new book on mathematical logic by Jeremy Avigad gives a thorough introduction to the fundamental results and methods of the subject from the syntactic point of view, emphasizing logic as the study of formal languages and systems and their proper use. Topics include proof theory, model theory, the theory of computability, and axiomatic foundations, with special emphasis given to aspects of mathematical logic that are fundamental to computer science, including deductive systems, constructive logic, the simply typed lambda calculus, and type-theoretic foundations. Clear and engaging, with plentiful examples and exercises, it is an excellent introduction to the subject for graduate students and advanced undergraduates who are interested in logic in mathematics, computer science, and philosophy, and an invaluable reference for any practicing logician's bookshelf.

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

A novel of meticulous brevity and a tone and vision all its own, transmuting the practice of medicine into a larger exploration of humanity, the meaning of care, and the nature of annihilation―physical, spiritual, or both.A young woman puts on a white coat for her first day as a student doctor. So begins this powerful debut, which follows our unnamed narrator through cadaver dissection, surgical rotation, difficult births, sudden deaths, and a budding relationship with a seminarian. In the troubled world of the hospital, where the language of blood tests and organ systems so often hides the heart of the matter, she works her way from one bed to another, from a man dying of substance use and tuberculosis, to a child in pain crisis, to a young woman, fading from confusion to aphasia to death. The long hours and heartrending work begin to blur the lines between her new life as a physician and the lifelong traumas she has fled. In brilliant, wry, and biting prose, A History of Present Il

Over the past century, the work of chemical engineers has helped transform societies and the lives of individuals, from the synthetic fertilizers that helped feed the world to the development of novel materials used in fuels, electronics, medical devices, and other products. Chemical engineers' ability to apply systems-level thinking from molecular to manufacturing scales uniquely positions them to address today's most pressing problems, including climate change and the overuse of resources by a growing population. New Directions in Chemical Engineering details a vision to guide chemical engineering research, innovation, and education over the next few decades. This report calls for new investments in U.S. chemical engineering and the interdisciplinary, cross-sector collaborations necessary to advance the societal goals of transitioning to a low-carbon energy system, ensuring our production and use of food and water is sustainable, developing medical advances and engineering solutions

●Flexible approach to content: Self-contained chapters allow instructors to customize the selection, order, and depth of chapters.●Flexible approach to technology:Text is adaptable to courses having various levels of computer involvement, ranging from none to intensive. Technologies include advanced graphing calculators, spreadsheets, web-based systems (applets), computer algebra systems (Maple, Mathematica, Sage), scientific computations systems (MATLAB), or traditional programing (FORTRAN, JavaScript, Python). More than 450 problems are marked with technology icons and files for those problems are available. ●Emphasis on understanding concepts: A great number of problems as well as some examples call for conclusions to be drawn about the solution which reinforces the concept of the topic.

Sustainable businesses create economic and social value while simultaneously protecting the natural environment for future generations. This examination of environmental sustainability through the lens of the family business identifies factors that help family and non-family organizations address the dilemma of balancing short-term productivity, efficiency and profitability objectives, with innovating for long-term sustainable value creation. Exploring the case of the wine industry - an industry characterized by a variety of governance systems - Sanjay and Pramodita Sharma develop fresh insights into influences and drivers for proactive environmental strategies to address major global sustainability challenges. By doing so, the authors are able to demonstrate that family firms with a focus on trans-generational continuity of business, long temporal orientation, shared vision, faster decision-making processes, and the goal of preserving socio-emotional wealth are more likely to make pat

Our world and the people within it are increasingly interpreted and classified by automated systems. At the same time, automated classifications influence what happens in the physical world. These entanglements change what it means to interact with governance, and shift what elements of our identity are knowable and meaningful. In this cyber-physical world, or 'world state', what is the role for law? Specifically, how should law address the claim that computational systems know us better than we know ourselves? Monitoring Laws traces the history of government profiling from the invention of photography through to emerging applications of computer vision for personality and behavioral analysis. It asks what dimensions of profiling have provoked legal intervention in the past, and what is different about contemporary profiling that requires updating our legal tools. This work should be read by anyone interested in how computation is changing society and governance, and what it is about p

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional str

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

本書是美國倫斯勒理工學院（Rensselaer Polytechnic Institute, RPI）紀強（Qiang Ji）教授專門為概率圖模型編寫的一本專著。本書介紹了計算機視覺中的概率圖模型（PGM），討論了PGM及其在解決計算機視覺中存在的問題，提供了基本概念、定義和屬性。專注於PGM的理論，以偽代碼和推導的方式對PGM進行了詳細的解釋。

An accessible guide to cybersecurity for the everyday user, covering cryptography and public key infrastructure, malware, blockchain, and other topics.It seems that everything we touch is connected to the internet, from mobile phones and wearable technology to home appliances and cyber assistants. The more connected our computer systems, the more exposed they are to cyber attacks--attempts to steal data, corrupt software, disrupt operations, and even physically damage hardware and network infrastructures. In this volume of the MIT Press Essential Knowledge series, cybersecurity expert Duane Wilson offers an accessible guide to cybersecurity issues for everyday users, describing risks associated with internet use, modern methods of defense against cyber attacks, and general principles for safer internet use. Wilson describes the principles that underlie all cybesecurity defense: confidentiality, integrity, availability, authentication, authorization, and non-repudiation (validating the

人工智能正在成為全世界產業變革的方向，處於第四次科技革命的核心地位。計算機視覺（Computer Vision）就是利用攝像機、算法和計算資源為人工智能系統按上“眼睛”，讓其可以擁有人類的雙眼所具有的前景與背景分割、物體識別、目標跟蹤、判斷決策等功能。計算機視覺系統可以讓計算機看見並理解這個世界的“信息”，從而替代人類完成重復性工作。目前計算機視覺領域熱門的研究方向有物體檢測與識別、語義分割、目標跟蹤等。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》圍繞著計算機視覺的關鍵技術，介紹基於深度學習計算機視覺的基礎理論及主要算法。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》結合常見的應用場景和項目實例，循序漸進地帶領讀者進入美妙的計算機視覺世界。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》共分為11章，第1章為人工智能概述；第2～5章介紹計算機視覺的幾種關鍵技術，即圖像分類、目標檢測、圖像分割和目標跟蹤，並將這四項關鍵技術組合完成人工智能的實際應用；第6、7章介紹人工智能的兩個典型應用：文字檢測與識別系統及多任務深度學習系統；第8章介紹一種非常有意思的深度學習網絡——對抗生成神經網絡；第9章介紹製作訓練和測試樣本的方法；第10章介紹如何安裝TensorFlow、KerasAPI及相關介紹；第11章介紹綜合實驗。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》提供了大量項目實例及代碼解析，均是基於Python語言及TensorFlow、KerasAPI的。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》的每章均配有微課視頻，掃描書中的二維碼，可觀看作者的視頻講解。《計算機視覺：Python+TensorFlow+Keras深度學習實戰（微課視頻版）》不僅可以作為大學計算機及相關專業的教材，也適合自學者及人工智能開發人員參考使用。《計算機視覺：Python+TensorFl

Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established methods from the basic to advanced settings; Part 3 presents the most typical applications including natural language processing, computer vision, data mining, biochemistry and healthcare; and Part 4 describes advances of methods and applications that tend to be important and promising for future research. The book is self-contained, making it accessible to a broader range of readers including (1) senior undergraduate and graduate students; (2) practitioners and project managers who want to adopt graph neural networks into their products and platforms; and (3) researchers without a computer science background who want to use graph neural networks to advance their disciplines.

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling.As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields.

電腦視覺是研究如何使人工系統從圖像或多維資料中“感知”的科學。本書是電腦視覺領域的經典教材，內容涉及攝像機的幾何模型、光照及陰影、顏色、線性濾波、局部圖像特徵、紋理、立體視覺、運動結構、聚類分割、分組與模型擬合、跟蹤、配准、平滑表面及其輪廓、深度資料、圖像分類、物體檢測與識別、基於圖像的建模與渲染、人形研究、圖像搜索與檢索、優化技術等。與前一版相比，本書簡化了部分主題，增加了應用示例，重寫了關於現代特徵的內容，詳述了現代圖像編輯技術與物體識別技術。

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques.Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/un

We often hear that AI is revolutionising the financial sector, like no other technology has done before. This book looks beyond these clich s and explores all aspects of this transformation at a deep level. It spells out a vision for the future and answers many questions that are routinely ignored.What do we mean by Artificial Intelligence in finance? How do we move past the myths and misconceptions to reveal the key driving forces?What are the industry trends that align with this transformation? Is it the explosion of digital touchpoints in retail, the reduced risk taking by investment banks, or the ascent of passive funds in asset management?How do we develop concrete use cases from idea generation to production? How do we engineer systems to make accurate predictions, offer recommendations to clients, or analyse unstructured news data?How do we build a successful data-driven organisation? What are the key pitfalls to avoid? Is it about culture, data governance, or management vision?

Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.

Discover how everyday tech works while developing your coding skills with Create the Code!Each title in this series explains the key computer code and systems that are used to create and control the t

Symbolic dynamics is a mature yet rapidly developing area of dynamical systems. It has established strong connections with many areas, including linear algebra, graph theory, probability, group theory, and the theory of computation, as well as data storage, statistical mechanics, and $C^*$-algebras. This Second Edition maintains the introductory character of the original 1995 edition as a general textbook on symbolic dynamics and its applications to coding. It is written at an elementary level and aimed at students, well-established researchers, and experts in mathematics, electrical engineering, and computer science. Topics are carefully developed and motivated with many illustrative examples. There are more than 500 exercises to test the reader's understanding. In addition to a chapter in the First Edition on advanced topics and a comprehensive bibliography, the Second Edition includes a detailed Addendum, with companion bibliography, describing major developments and new research di