Intelligent Autonomous Drones with Cognitive Deep Learning

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Author :
Publisher : Apress
ISBN 13 : 9781484268025
Total Pages : 0 pages
Book Rating : 4.2/5 (68 download)

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Book Synopsis Intelligent Autonomous Drones with Cognitive Deep Learning by : David Allen Blubaugh

Download or read book Intelligent Autonomous Drones with Cognitive Deep Learning written by David Allen Blubaugh and published by Apress. This book was released on 2022-11-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is an artificial intelligence (AI)-enabled drone and what can it do? Are AI-enabled drones better than human-controlled drones? This book will answer these questions and more, and empower you to develop your own AI-enabled drone. You'll progress from a list of specifications and requirements, in small and iterative steps, which will then lead to the development of Unified Modeling Language (UML) diagrams based in part to the standards established by for the Robotic Operating System (ROS). The ROS architecture has been used to develop land-based drones. This will serve as a reference model for the software architecture of unmanned systems. Using this approach you'll be able to develop a fully autonomous drone that incorporates object-oriented design and cognitive deep learning systems that adapts to multiple simulation environments. These multiple simulation environments will also allow you to further build public trust in the safety of artificial intelligence within drones and small UAS. Ultimately, you'll be able to build a complex system using the standards developed, and create other intelligent systems of similar complexity and capability. Intelligent Autonomous Drones with Cognitive Deep Learning uniquely addresses both deep learning and cognitive deep learning for developing near autonomous drones. What You’ll Learn Examine the necessary specifications and requirements for AI enabled drones for near-real time and near fully autonomous drones Look at software and hardware requirements Understand unified modeling language (UML) and real-time UML for design Study deep learning neural networks for pattern recognition Review geo-spatial Information for the development of detailed mission planning within these hostile environments Who This Book Is For Primarily for engineers, computer science graduate students, or even a skilled hobbyist. The target readers have the willingness to learn and extend the topic of intelligent autonomous drones. They should have a willingness to explore exciting engineering projects that are limited only by their imagination. As far as the technical requirements are concerned, they must have an intermediate understanding of object-oriented programming and design.

Deep Learning for Robot Perception and Cognition

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Author :
Publisher : Academic Press
ISBN 13 : 0323885721
Total Pages : 638 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Robot Perception and Cognition by : Alexandros Iosifidis

Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 9819927463
Total Pages : 757 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing by : Amit Kumar

Download or read book Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing written by Amit Kumar and published by Springer Nature. This book was released on 2023-11-02 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.

Math and Architectures of Deep Learning

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Author :
Publisher : Simon and Schuster
ISBN 13 : 1617296481
Total Pages : 550 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Math and Architectures of Deep Learning by : Krishnendu Chaudhury

Download or read book Math and Architectures of Deep Learning written by Krishnendu Chaudhury and published by Simon and Schuster. This book was released on 2024-03-26 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. You'll peer inside the "black box" to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. Math and Architectures of Deep Learning sets out the foundations of DL usefully and accessibly to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You'll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You'll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you'll be glad you can quickly identify and fix problems.

Intelligent and Autonomous: Transforming Values in the Face of Technology

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Author :
Publisher : BRILL
ISBN 13 : 9004547266
Total Pages : 201 pages
Book Rating : 4.0/5 (45 download)

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Book Synopsis Intelligent and Autonomous: Transforming Values in the Face of Technology by :

Download or read book Intelligent and Autonomous: Transforming Values in the Face of Technology written by and published by BRILL. This book was released on 2023-08-28 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses case analyses and industry insights and blends them with forays into philosophy and ethics to conceptualise the mismatch between human values and the values inherent in an increasingly technologized world. Bringing together contributors from the disciplines of law, politics, philosophy, and communication studies, this volume develops an interdisciplinary vocabulary for thinking about the questions and antinomies of human-technology interaction while also resisting any deceptively straightforward synthesis. The topics discussed include the competition over and regulation of technology, the harm induced by autonomous technologies, and the place and role of humans in a world that is undergoing rapid and radical change.

Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020

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Author :
Publisher : Springer Nature
ISBN 13 : 3030655962
Total Pages : 613 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020 by : Alexei V. Samsonovich

Download or read book Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020 written by Alexei V. Samsonovich and published by Springer Nature. This book was released on 2020-12-08 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Eleventh Annual Meeting of the BICA Society, held on November 10-14, 2020, in Natal, Brazil, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Genius Weapons

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Author :
Publisher :
ISBN 13 : 163388452X
Total Pages : 322 pages
Book Rating : 4.6/5 (338 download)

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Book Synopsis Genius Weapons by : Louis A. Del Monte

Download or read book Genius Weapons written by Louis A. Del Monte and published by . This book was released on 2018 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A technology expert describes the ever-increasing role of artificial intelligence in weapons development, the ethical dilemmas these weapons pose, and the potential threat to humanity."--Provided by publisher.

Autonomous Horizons

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Author :
Publisher : Independently Published
ISBN 13 : 9781092834346
Total Pages : 420 pages
Book Rating : 4.8/5 (343 download)

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Book Synopsis Autonomous Horizons by : Greg Zacharias

Download or read book Autonomous Horizons written by Greg Zacharias and published by Independently Published. This book was released on 2019-04-05 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.

AI Fundamentals Courseware

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Author :
Publisher : Van Haren
ISBN 13 : 9401810583
Total Pages : 445 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis AI Fundamentals Courseware by : Reinier van den Biggelaar

Download or read book AI Fundamentals Courseware written by Reinier van den Biggelaar and published by Van Haren. This book was released on 2023-09-26 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: The AI Fundamentals courseware offers an AI training course designed for professionals in business or government environments who want to understand the benefits and applications of AI in their work environment. This course covers topics such as data management for AI, building and assessing AI applications, ethics and trustworthiness, and organizational success factors for enabling humans and machines to work together. The course addresses key questions such as “Where does Data Management end and AI application begin?” from a management perspective. Subjects covered include the applications and benefits of AI, data and robots, predictions and algorithms, machine and deep learning, building and reviewing AI applications, data management for AI, ethics and trustworthiness, organizational success factors for helping humans and machines work together, and the future of AI. This courseware educates for three certifications within it’s three-day combined program. It’s also possible to cut the material in pieces for a module teaching approach. The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. This AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.

Human Compatible

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Author :
Publisher : Penguin Books
ISBN 13 : 0525558616
Total Pages : 354 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Human Compatible by : Stuart Jonathan Russell

Download or read book Human Compatible written by Stuart Jonathan Russell and published by Penguin Books. This book was released on 2019 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.

Artificial Intelligence for Business Optimization

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Author :
Publisher : CRC Press
ISBN 13 : 1000409430
Total Pages : 325 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence for Business Optimization by : Bhuvan Unhelkar

Download or read book Artificial Intelligence for Business Optimization written by Bhuvan Unhelkar and published by CRC Press. This book was released on 2021-08-09 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit. By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them. It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.

Cognitive Systems and Signal Processing

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Author :
Publisher : Springer
ISBN 13 : 9811379866
Total Pages : 548 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Cognitive Systems and Signal Processing by : Fuchun Sun

Download or read book Cognitive Systems and Signal Processing written by Fuchun Sun and published by Springer. This book was released on 2019-04-26 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1005 and CCIS 1006) constitutes the refereed proceedings of the 4th International Conference on Cognitive Systems and Signal Processing, ICCSIP2018, held in Beijing, China, in November and December 2018. The 96 revised full papers presented were carefully reviewed and selected from 169 submissions. The papers are organized in topical sections on vision and image; algorithms; robotics; human-computer interaction; deep learning; information processing and automatic driving.

Intelligent Cyber-Physical Systems for Autonomous Transportation

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Author :
Publisher : Springer Nature
ISBN 13 : 3030920542
Total Pages : 289 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Intelligent Cyber-Physical Systems for Autonomous Transportation by : Sahil Garg

Download or read book Intelligent Cyber-Physical Systems for Autonomous Transportation written by Sahil Garg and published by Springer Nature. This book was released on 2022-04-27 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive discussion on key topics related to the usage and deployment of AI in urban transportation systems including drones. The book presents intelligent solutions to overcome the challenges of static approaches in the transportation sector to make them intelligent, adaptive, agile, and flexible. The book showcases different AI-deployment models, algorithms, and implementations related to intelligent cyber physical systems (CPS) along with their pros and cons. Even more, this book provides deep insights into the CPS specifically about the layered architecture and different planes, interfaces, and programmable network operations. The deployment models for AI-based CPS are also included with an aim towards the design of interoperable and intelligent CPS architectures by researchers in future. The authors present hands on practical implementations, deployment scenarios, and use cases related to different transportation scenarios. In the end, the design and research challenges, open issues, and future research directions are provided.

Machine Intelligence

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Publisher : CRC Press
ISBN 13 : 1000960315
Total Pages : 343 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Machine Intelligence by : Pethuru Raj

Download or read book Machine Intelligence written by Pethuru Raj and published by CRC Press. This book was released on 2023-10-03 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines. Machines that can see and perceive can bring forth deeper and decisive acceleration, automation, and augmentation capabilities to businesses as well as people in their everyday assignments. Machine vision is becoming a reality because of advancements in the computer vision and device instrumentation spaces. Machines are increasingly software-defined. That is, vision-enabling software and hardware modules are being embedded in new-generation machines to be self-, surroundings, and situation-aware. Machine Intelligence: Computer Vision and Natural Language Processing emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. The book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry. Features: Motion images object detection over voice using deep learning algorithms Ubiquitous computing and augmented reality in HCI Learning and reasoning in Artificial Intelligence Economic sustainability, mindfulness, and diversity in the age of artificial intelligence and machine learning Streaming analytics for healthcare and retail domains Covering established and emerging technologies in machine vision, the book focuses on recent and novel applications and discusses state-of-the-art technologies and tools.

Artificial Intelligence and Human Performance in Transportation

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Author :
Publisher : CRC Press
ISBN 13 : 1040126243
Total Pages : 148 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Artificial Intelligence and Human Performance in Transportation by : Dimitrios Ziakkas

Download or read book Artificial Intelligence and Human Performance in Transportation written by Dimitrios Ziakkas and published by CRC Press. This book was released on 2024-10-30 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is a major technological advancement in the 21st century. With its influence spreading to all aspects of our lives and the engineering sector, establishing well-defined objectives is crucial for successfully integrating AI in the field of transportation. This book presents different ways of adopting emerging technologies in transportation operations, including security, safety, online training, and autonomous vehicle operations on land, sea, and air. This guide is a dynamic resource for senior management and decision-makers, with essential practical advice distilled from the expertise of specialists in the field. It addresses the most critical issues facing transportation service providers in adopting AI and investigates the relationship between the human operator and the technology to navigate what is and is not feasible or impossible. Case studies of actual implementation provide context to common scenarios in the transportation sector. This book will serve the reader as the starting point for practical questions regarding the deployment and safety assurance of new and emergent technologies in the transportation domains. Artificial Intelligence and Human Performance in Transportation is a beneficial read for professionals in the fields of Human Factors, Engineering (Aviation, Maritime and Land), Logistics, Manufacturing, Accident Investigation and Safety, Cybersecurity and Human Resources.

Advancements in Smart City and Intelligent Building

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Author :
Publisher : Springer
ISBN 13 : 9811367337
Total Pages : 624 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Advancements in Smart City and Intelligent Building by : Qiansheng Fang

Download or read book Advancements in Smart City and Intelligent Building written by Qiansheng Fang and published by Springer. This book was released on 2019-04-03 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book entitled “Advancements in Smart City and Intelligent Building” is the Proceedings of the International Conference on Smart City and Intelligent Building (ICSCIB 2018) held in Hefei, China, September 15-16, 2018. It contains 58 papers in total categorized into 8 different tracks, on Building Energy Efficiency, Construction Robot and Automation, Intelligent Community and Urban Safety, Intelligentialization of Heating Ventilation Air Conditioning System, Information Technology and Intelligent Transportation Systems, New Generation Intelligent Building Platform Techniques, Smart Home and Utility, and Smart Underground Space, which cover a wide range areas of smart cities and intelligent buildings. ICSCIB2018 provided an international forum for professionals, academics, and researchers to present the latest developments from interdisciplinary theoretical studies, computational algorithm developments and engineering applications in smart cities and smart buildings. This academic event featured many opportunities to network with colleagues from around the world in a wonderful environment. Its program covered invitation and presentations from scientists, researchers, and practitioners who have been working in the related areas to establish platforms for collaborative research projects in these fields. The conference invited leaders from industry and academia to exchange and share their experiences, present research results, explore collaborations and to spark new ideas, with the aim of developing new projects and exploiting new technology in these fields, and bridge theoretical studies and emerging applications in various science and engineering branches. This book addresses the recent development and achievement in the field of smart city and intelligent building. It is primarily intended for researchers and students for undergraduate and postgraduate programs in the background of multiple disciplines including computer science, information systems, information technology, automatic control and automation, electrical and electronic engineering, and telecommunications who wish to develop and share their ideas, knowledge and new findings in smart city and intelligent building.

Cloud Computing for Machine Learning and Cognitive Applications

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Author :
Publisher : MIT Press
ISBN 13 : 0262341123
Total Pages : 626 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Cloud Computing for Machine Learning and Cognitive Applications by : Kai Hwang

Download or read book Cloud Computing for Machine Learning and Cognitive Applications written by Kai Hwang and published by MIT Press. This book was released on 2017-07-07 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.