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AI Computing Systems

AI Computing Systems
  • Author : Yunji Chen,Ling Li,Wei Li,Qi Guo,Zidong Du,Zichen Xu
  • Publisher : Elsevier
  • Release Date : 2022-10-12
  • Total pages : 450
  • ISBN : 9780323953986
  • File Size : 11,9 Mb
  • Total Download : 612
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AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time. Provides an in-depth analysis of the underlying principles behind the use of knowledge in intelligent computing systems Centers around application-driven and full-stack penetration, focusing on the knowledge required to complete this application at all levels of the software and hardware technology stack Supporting experimental tutorials covering key knowledge points in each chapter provide practical guidance and formalization tools for developing a simple AI computing system

AI for Computer Architecture

AI for Computer Architecture
  • Author : Lizhong Chen,Drew Penney,Daniel Jiménez
  • Publisher : Springer
  • Release Date : 2020-11-06
  • Total pages : 124
  • ISBN : 3031006429
  • File Size : 15,6 Mb
  • Total Download : 239
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Artificial intelligence has already enabled pivotal advances in diverse fields, yet its impact on computer architecture has only just begun. In particular, recent work has explored broader application to the design, optimization, and simulation of computer architecture. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This book reviews the application of machine learning in system-wide simulation and run-time optimization, and in many individual components such as caches/memories, branch predictors, networks-on-chip, and GPUs. The book further analyzes current practice to highlight useful design strategies and identify areas for future work, based on optimized implementation strategies, opportune extensions to existing work, and ambitious long term possibilities. Taken together, these strategies and techniques present a promising future for increasingly automated computer architecture designs.

Intelligent Computing Systems

Intelligent Computing Systems
  • Author : Carlos Brito-Loeza,Anabel Martin-Gonzalez,Victor Castañeda-Zeman,Asad Safi
  • Publisher : Springer Nature
  • Release Date : 2022-04-16
  • Total pages : 145
  • ISBN : 9783030984571
  • File Size : 25,7 Mb
  • Total Download : 662
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This book constitutes the proceedings of the 4th International Symposium on Intelligent Computing Systems, ISICS 2022, held in Santiago, Chile, in March 2022. Due to the COVID-19 pandemic the conference was held online. The 9 full papers along with 2 short papers presented in this volume were carefully reviewed and selected from 30 submissions. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing.

Cognitive Computing Systems

Cognitive Computing Systems
  • Author : Vishal Jain,Akash Tayal,Arun Solanki,Jaspreet Singh
  • Publisher : Unknown
  • Release Date : 2020-12-15
  • Total pages : 521
  • ISBN : 1771889314
  • File Size : 31,9 Mb
  • Total Download : 800
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This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more. It introduces cognitive computing systems, highlights their key applications, discusses the technologies used in cognitive systems, and explains underlying models and architectures. Focusing on scientific work for real-world applications, each chapter presents the use of cognitive computing and machine learning in specific application areas. These include the use of speech recognition technology, application of neural networks in construction management, elevating competency in education, comprehensive health monitoring systems, predicting type 2 diabetes, applications for smart agricultural technology, human resource management, and more. With chapters from knowledgeable researchers in the area of artificial intelligence, cognitive computing, and allied areas, this book will be an asset for researchers, faculty, advances students, and industry professionals in many fields.

Advances in Computing Systems and Applications

Advances in Computing Systems and Applications
  • Author : Mustapha Reda Senouci,Mohamed El Yazid Boudaren,Faouzi Sebbak,M'hamed Mataoui
  • Publisher : Springer Nature
  • Release Date : 2021-02-20
  • Total pages : 373
  • ISBN : 9783030694180
  • File Size : 26,9 Mb
  • Total Download : 218
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This proceedings book gathers selected papers presented at the 4th Conference on Computing Systems and Applications (CSA2020) held on December 14, 2020, at the Ecole Militaire Polytechnique, Algiers, Algeria. The proceedings provide a collection of new ideas, original research findings, and experimental results in the field of computer science covering: artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics. The proceedings are a valuable reference work for students, researchers, academics, and industry practitioners interested in the latest scientific and technological advances across the conference topics. Benefits: • Explores the latest research trends and their applications in a broad range of computer science disciplines • Presents a collection of contributions in emerging topics in computer science and information technology • Covers artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics

Artificial Intelligence and Security in Computing Systems

Artificial Intelligence and Security in Computing Systems
  • Author : Jerzy Soldek,Leszek Drobiazgiewicz
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 302
  • ISBN : 9781441992260
  • File Size : 34,6 Mb
  • Total Download : 198
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Artificial Intelligence and Security in Computing Systems is a peer-reviewed conference volume focusing on three areas of practice and research progress in information technologies: -Methods of Artificial Intelligence presents methods and algorithms which are the basis for applications of artificial intelligence environments. -Multiagent Systems include laboratory research on multiagent intelligent systems as well as upon their applications in transportation and information systems. -Computer Security and Safety presents techniques and algorithms which will be of great interest to practitioners. In general, they focus on new cryptographic algorithms (including a symmetric key encryption scheme, hash functions, secret generation and sharing schemes, and secure data storage), a formal language for policy access control description and its implementation, and risk management methods (used for continuous analysis both in distributed network and software development projects).

Intelligent Technologies: Concepts, Applications, and Future Directions

Intelligent Technologies: Concepts, Applications, and Future Directions
  • Author : Satya Ranjan Dash,Manas Ranjan Lenka,Kuan-Ching Li,Esaú Villatoro-Tello
  • Publisher : Springer Nature
  • Release Date : 2022-05-21
  • Total pages : 343
  • ISBN : 9789811910210
  • File Size : 14,7 Mb
  • Total Download : 112
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This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at first Ph.D. Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.

An Intelligence in Our Image

An Intelligence in Our Image
  • Author : Osonde A. Osoba,William Welser IV
  • Publisher : Rand Corporation
  • Release Date : 2017-04-05
  • Total pages : 44
  • ISBN : 9780833097637
  • File Size : 25,8 Mb
  • Total Download : 467
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Machine learning algorithms and artificial intelligence influence many aspects of life today. This report identifies some of their shortcomings and associated policy risks and examines some approaches for combating these problems.

Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions

Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
  • Author : Sarvesh Pandey,Udai Shanker,Vijayalakshmi Saravanan,Rajinikumar Ramalingam
  • Publisher : Springer Nature
  • Release Date : 2023-01-25
  • Total pages : 339
  • ISBN : 9783031155420
  • File Size : 14,5 Mb
  • Total Download : 155
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This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students.

Intelligent Computing Systems

Intelligent Computing Systems
  • Author : Carlos Brito-Loeza,Arturo Espinosa-Romero,Anabel Martin-Gonzalez,Asad Safi
  • Publisher : Springer Nature
  • Release Date : 2020-03-11
  • Total pages : 151
  • ISBN : 9783030433642
  • File Size : 20,8 Mb
  • Total Download : 778
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This book constitutes the proceedings of the Third International Symposium on Intelligent Computing Systems, ISICS 2020, held in Sharjah, United Arab Emirates, in March 2020. The 13 full papers presented in this volume were carefully reviewed and selected from 46 submissions. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing.

Deep Learning for Cognitive Computing Systems

Deep Learning for Cognitive Computing Systems
  • Author : M.G. Sumithra,Rajesh Kumar Dhanaraj,Celestine Iwendi,Anto Merline Manoharan
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2022-12-31
  • Total pages : 260
  • ISBN : 9783110750614
  • File Size : 41,8 Mb
  • Total Download : 438
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Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.

Advances in Computing Systems and Applications

Advances in Computing Systems and Applications
  • Author : Mustapha Reda Senouci,Said Yacine Boulahia,Mohamed Akrem Benatia
  • Publisher : Springer Nature
  • Release Date : 2022-09-27
  • Total pages : 396
  • ISBN : 9783031120978
  • File Size : 22,6 Mb
  • Total Download : 279
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The book is a valuable reference work for students, researchers, academics, and industry practitioners interested in the latest scientific and technological advances across the conference topics. The CSA 2022 proceedings provide a collection of new ideas, original research findings, and experimental results in the field of computer science covering: artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics.

Image Processing and Intelligent Computing Systems

Image Processing and Intelligent Computing Systems
  • Author : Prateek Singhal,Abhishek Verma,Prabhat Kumar Srivastava,Virender Ranga,Ram Kumar
  • Publisher : CRC Press
  • Release Date : 2023-01-17
  • Total pages : 376
  • ISBN : 9781000823011
  • File Size : 36,6 Mb
  • Total Download : 742
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There is presently a drastic growth in multimedia data. During the Covid-19 pandemic, we observed that images helped doctors immensely in the rapid detection of Covid-19 infection in patients. There are many critical applications in which images play a vital role. These applications use raw image data to extract some useful information about the world around us. The quick extraction of valuable information from raw images is one challenge that academicians and professionals face in the present day. This is where image processing comes into action. Image processing’s primary purpose is to get an enhanced image or extract some useful information from raw image data. Therefore, there is a major need for some technique or system that addresses this challenge. Intelligent Systems have emerged as a solution to address quick image information extraction. In simple words, an Intelligent System can be defined as a mathematical model that adapts itself to deal with a problem’s dynamicity. These systems learn how to act so an image can reach an objective. An Intelligent System helps accomplish various image-processing functions like enhancement, segmentation, reconstruction, object detection, and morphing. The advent of Intelligent Systems in the image-processing field has leveraged many critical applications for humankind. These critical applications include factory automation, biomedical imaging analysis, decision econometrics, as well as related challenges.

Autonomic Computing

Autonomic Computing
  • Author : Philippe Lalanda,Julie A. McCann,Ada Diaconescu
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-05-13
  • Total pages : 288
  • ISBN : 9781447150077
  • File Size : 9,5 Mb
  • Total Download : 747
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This textbook provides a practical perspective on autonomic computing. Through the combined use of examples and hands-on projects, the book enables the reader to rapidly gain an understanding of the theories, models, design principles and challenges of this subject while building upon their current knowledge. Features: provides a structured and comprehensive introduction to autonomic computing with a software engineering perspective; supported by a downloadable learning environment and source code that allows students to develop, execute, and test autonomic applications at an associated website; presents the latest information on techniques implementing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the challenges to evaluating an autonomic system, aiding the reader in designing tests and metrics that can be used to compare systems; reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature.

Communication and Computing Systems

Communication and Computing Systems
  • Author : B.M.K. Prasad,Karan Singh,Shyam S. Pandey,Richard O'Kennedy
  • Publisher : CRC Press
  • Release Date : 2019-10-22
  • Total pages : 648
  • ISBN : 9780429814587
  • File Size : 15,8 Mb
  • Total Download : 289
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The International Conference on Communication and Computing Systems (ICCCS 2018) provides a high-level international forum for researchers and recent advances in the field of electronic devices, computing, big data analytics, cyber security, quantum computing, biocomputing, telecommunication, etc. The aim of the conference was to bridge the gap between the technological advancements in the industry and the academic research.

Edge Computing Systems with Kubernetes

Edge Computing Systems with Kubernetes
  • Author : Sergio Méndez
  • Publisher : Packt Publishing Ltd
  • Release Date : 2022-10-14
  • Total pages : 458
  • ISBN : 9781800566989
  • File Size : 37,7 Mb
  • Total Download : 862
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Understand how to use K3s and k3OS for different use cases and discover best practices for building an edge computing system Key FeaturesA guide to implementing an edge computing environmentReduce latency and costs for real-time applications running at the edgeFind stable and relevant cloud native open source software to complement your edge environmentsBook Description Edge computing is a way of processing information near the source of data instead of processing it on data centers in the cloud. In this way, edge computing can reduce latency when data is processed, improving the user experience on real-time data visualization for your applications. Using K3s, a light-weight Kubernetes and k3OS, a K3s-based Linux distribution along with other open source cloud native technologies, you can build reliable edge computing systems without spending a lot of money. In this book, you will learn how to design edge computing systems with containers and edge devices using sensors, GPS modules, WiFi, LoRa communication and so on. You will also get to grips with different use cases and examples covered in this book, how to solve common use cases for edge computing such as updating your applications using GitOps, reading data from sensors and storing it on SQL and NoSQL databases. Later chapters will show you how to connect hardware to your edge clusters, predict using machine learning, and analyze images with computer vision. All the examples and use cases in this book are designed to run on devices using 64-bit ARM processors, using Raspberry Pi devices as an example. By the end of this book, you will be able to use the content of these chapters as small pieces to create your own edge computing system. What you will learnConfigure k3OS and K3s for development and production scenariosPackage applications into K3s for shipped-node scenariosDeploy in occasionally connected scenarios, from one node to one million nodesManage GitOps for applications across different locationsUse open source cloud native software to complement your edge computing systemsImplement observability event-driven and serverless edge applicationsCollect and process data from sensors at the edge and visualize it into the cloudWho this book is for This book is for engineers (developers and/or operators) seeking to bring the cloud native benefits of GitOps and Kubernetes to the edge. Anyone with basic knowledge of Linux and containers looking to learn Kubernetes using examples applied to edge computing and hardware systems will benefit from this book.

Artificial Whiteness

Artificial Whiteness
  • Author : Yarden Katz
  • Publisher : Columbia University Press
  • Release Date : 2020-11-17
  • Total pages : 340
  • ISBN : 9780231551076
  • File Size : 9,5 Mb
  • Total Download : 769
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Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI’s transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas? Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force. Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.

Self-Aware Computing Systems

Self-Aware Computing Systems
  • Author : Samuel Kounev,Jeffrey O. Kephart,Aleksandar Milenkoski,Xiaoyun Zhu
  • Publisher : Springer
  • Release Date : 2017-01-23
  • Total pages : 722
  • ISBN : 9783319474748
  • File Size : 11,7 Mb
  • Total Download : 490
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This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems. It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply.

Quantum and Blockchain for Modern Computing Systems: Vision and Advancements

Quantum and Blockchain for Modern Computing Systems: Vision and Advancements
  • Author : Adarsh Kumar,Sukhpal Singh Gill,Ajith Abraham
  • Publisher : Springer Nature
  • Release Date : 2022-08-22
  • Total pages : 371
  • ISBN : 9783031046131
  • File Size : 45,9 Mb
  • Total Download : 451
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This book states that blockchain technology provides a secure distributed, peer-to-peer, and decentralized network with advanced cryptography primitives and protocols. The important question that arises in the quantum computing world is to test the existing blockchain networks against quantum attacks and design quantum computing enabled secure blockchain solutions. This book encourages professionals from different fields to provide blockchain and quantum technology-integrated solutions that incorporate low-cost, effective QoS, fast, secure, and futuristic demands. This book has surveyed and proposed approaches that improve quantum computing and cryptography protocols. Quantum computing and quantum science are not just helpful in software but the hardware world as well. To design networks with quantum science, quantum-enabled devices like quantum memories and quantum repeaters can be useful to demonstrate for organizations. For example, designing a single quantum repeater for long-distance quantum communication is useful in reducing the network cost, and ensuring better security levels. This book has introduced the quantum computing and blockchain technology aspects, their integration approaches and future directions.

Applications of Cognitive Computing Systems and IBM Watson

Applications of Cognitive Computing Systems and IBM Watson
  • Author : Danish Contractor,Aaditya Telang
  • Publisher : Springer
  • Release Date : 2017-10-29
  • Total pages : 98
  • ISBN : 9789811064180
  • File Size : 19,8 Mb
  • Total Download : 914
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This book presents reports and methods that demonstrate the ease with which cognitive applications can be built using IBM Watson application program interfaces (APIs). It includes application reports from two IBM Watson API-based competitions – Hackathon (24 hours) and a Challenge task (~3 months). It also features a selection of papers presented at I-CARE 2016, the IBM Collaborative Academia Research Exchange event, from the areas of “Theory and Cognitive Computing”, “Data Platforms and Systems,” and “Societal Applications.” IBM has a long tradition of research collaboration with colleagues in academia, and I-CARE is an annual event initiated in 2009 to promote collaborative innovation and learning, and explore new ways of fostering a culture of innovation. I-CARE’s main goal is to “amalgamate” the thought leadership in Indian academia with that in industry, and foster a symbiotic environment for establishing a rich research culture in India. The 8th edition of I-CARE presents a collection of thought-provoking ideas and novel Indian research projects related to three crucial areas: cognitive computing, systems and platforms that support large-scale data processing and practical systems that are designed for the public good.

Human-Computer Systems Interaction: Backgrounds and Applications 3

Human-Computer Systems Interaction: Backgrounds and Applications 3
  • Author : Zdzisław S. Hippe,Juliusz L. Kulikowski,Teresa Mroczek,Jerzy Wtorek
  • Publisher : Springer
  • Release Date : 2014-07-02
  • Total pages : 373
  • ISBN : 9783319084916
  • File Size : 43,5 Mb
  • Total Download : 912
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This book contains an interesting and state-of the art collection of papers on the recent progress in Human-Computer System Interaction (H-CSI). It contributes the profound description of the actual status of the H-CSI field and also provides a solid base for further development and research in the discussed area. The contents of the book are divided into the following parts: I. General human-system interaction problems; II. Health monitoring and disabled people helping systems and III. Various information processing systems. This book is intended for a wide audience of readers who are not necessarily experts in computer science, machine learning or knowledge engineering, but are interested in Human-Computer Systems Interaction. The level of particular papers and specific spreading-out into particular parts is a reason why this volume makes fascinating reading. This gives the reader a much deeper insight than he/she might glean from research papers or talks at conferences. It touches on all deep issues that currently preoccupy the entire field of H-CSI.