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      • Trusted Partner
        Computing & IT
        September 2021

        Artificial intelligence and the future of warfare

        The USA, China, and strategic stability

        by James Johnson

        This volume offers an innovative and counter-intuitive study of how and why artificial intelligence-infused weapon systems will affect the strategic stability between nuclear-armed states. Johnson demystifies the hype surrounding artificial intelligence (AI) in the context of nuclear weapons and, more broadly, future warfare. The book highlights the potential, multifaceted intersections of this and other disruptive technology - robotics and autonomy, cyber, drone swarming, big data analytics, and quantum communications - with nuclear stability. Anticipating and preparing for the consequences of the AI-empowered weapon systems are fast becoming a critical task for national security and statecraft. Johnson considers the impact of these trends on deterrence, military escalation, and strategic stability between nuclear-armed states - especially China and the United States. The book draws on a wealth of political and cognitive science, strategic studies, and technical analysis to shed light on the coalescence of developments in AI and other disruptive emerging technologies. Artificial intelligence and the future of warfare sketches a clear picture of the potential impact of AI on the digitized battlefield and broadens our understanding of critical questions for international affairs. AI will profoundly change how wars are fought, and how decision-makers think about nuclear deterrence, escalation management, and strategic stability - but not for the reasons you might think.

      • Trusted Partner
        Computing & IT
        September 2021

        Artificial intelligence and the future of warfare

        The USA, China, and strategic stability

        by James Johnson

        This volume offers an innovative and counter-intuitive study of how and why artificial intelligence-infused weapon systems will affect the strategic stability between nuclear-armed states. Johnson demystifies the hype surrounding artificial intelligence (AI) in the context of nuclear weapons and, more broadly, future warfare. The book highlights the potential, multifaceted intersections of this and other disruptive technology - robotics and autonomy, cyber, drone swarming, big data analytics, and quantum communications - with nuclear stability. Anticipating and preparing for the consequences of the AI-empowered weapon systems are fast becoming a critical task for national security and statecraft. Johnson considers the impact of these trends on deterrence, military escalation, and strategic stability between nuclear-armed states - especially China and the United States. The book draws on a wealth of political and cognitive science, strategic studies, and technical analysis to shed light on the coalescence of developments in AI and other disruptive emerging technologies. Artificial intelligence and the future of warfare sketches a clear picture of the potential impact of AI on the digitized battlefield and broadens our understanding of critical questions for international affairs. AI will profoundly change how wars are fought, and how decision-makers think about nuclear deterrence, escalation management, and strategic stability - but not for the reasons you might think.

      • Trusted Partner
        Humanities & Social Sciences
        May 2024

        Knowing COVID-19

        The pandemic and beyond

        by Des Fitzgerald, Fred Cooper

        Knowing COVID-19 demonstrates how researchers in the humanities shone a light on some of the many hidden problems of COVID-19, in the very depths of the pandemic crisis. Drawing on eight COVID-19 research projects, the volume shows how humanities researchers, alongside colleagues in the clinical and life sciences, addressed some of the major critical unknowns about this new infectious disease - from the effects of racism to the risks of deploying shame; from how to design an effective instructional leaflet to how to communicate effectively to bus passengers. Across eight novel case studies, the book showcases how humanities research during a pandemic is not only about interpreting the crisis when it has safely passed, but how it can play a vital, collaborative and instrumental role as events are still unfolding.

      • Trusted Partner
        Computing & IT
        September 2021

        Artificial intelligence and the future of warfare

        The USA, China, and strategic stability

        by James Johnson

        This volume offers an innovative and counter-intuitive study of how and why artificial intelligence-infused weapon systems will affect the strategic stability between nuclear-armed states. Johnson demystifies the hype surrounding artificial intelligence (AI) in the context of nuclear weapons and, more broadly, future warfare. The book highlights the potential, multifaceted intersections of this and other disruptive technology - robotics and autonomy, cyber, drone swarming, big data analytics, and quantum communications - with nuclear stability. Anticipating and preparing for the consequences of the AI-empowered weapon systems are fast becoming a critical task for national security and statecraft. Johnson considers the impact of these trends on deterrence, military escalation, and strategic stability between nuclear-armed states - especially China and the United States. The book draws on a wealth of political and cognitive science, strategic studies, and technical analysis to shed light on the coalescence of developments in AI and other disruptive emerging technologies. Artificial intelligence and the future of warfare sketches a clear picture of the potential impact of AI on the digitized battlefield and broadens our understanding of critical questions for international affairs. AI will profoundly change how wars are fought, and how decision-makers think about nuclear deterrence, escalation management, and strategic stability - but not for the reasons you might think.

      • Trusted Partner
        Medicine
        May 2021

        Embodiment and everyday cyborgs

        Technologies that alter subjectivity

        by Gill Haddow

        Your organs are failing and require replacement. If you had the choice, would you prefer organs from other humans or non-human animals, or would you choose a 'cybernetic' medical implant? Using a range of social science methods and drawing on the sociology of the body and embodiment, biomedicine and technology, this book asks what happens to who we are (our identity) when we change what we are (our bodies)? From surveying young adults about whether they would choose options such as 3-D bioprinting, living or deceased human donation, or non-human animal or implantable biomechanical devices, to interviewing those who live with an implantable cardiac defibrillator, Haddow invites us to think about what kind of relationship we have with our bodies. She concludes that the reliance on 'cybernetic' medical devices create 'everyday cyborgs' who can experience alienation and new forms of vulnerability at implantation and activation. Embodiment and everyday cyborgs invites readers to consider the relationship between personal identity and the body, between humans and non-human animals, and our increasing dependency on 'smart' implantable technology. The creation of new techno-organic hybrid bodies makes us acutely aware of our own bodies and how ambiguous the experience of embodiment actually is. It is only through understanding how modifications such as transplantation, amputation and implantation make our bodies a 'presence' to us, Haddow argues, that we realise our everyday experience of our bodies as an absence.

      • Computing & IT
        July 2018

        Artificial Intelligence & Soft Computing For Beginners, Third Edition

        by Anindita Das-Bhattacharjee

        The course of Artificial Intelligence is taken by all engineering undergraduate and postgraduate students pursuing computer science. Apart from this, it is a popular elective in almost all other branches of engineering. It is also a field chosen for research by many doctoral students. This book has in-depth detail illustration of all the chapters of Artificial Intelligence (AI) with Soft Computing, covering the syllabus of WBUT, Gitam, JNTU, NIT and few different universities. During the course of teaching Artificial Intelligence, the author had found that no textbook covers both Artificial intelligence (AI) with intelligent systems (IS) and soft computing in a comprehensive manner. This book provides a comprehensive coverage of the fundamental concepts and techniques in Artificial Intelligence and Soft Computing with mathematical in depth explanation. The main emphasis is on the solution of real world problems using the latest AI techniques. During teaching artificial intelligence, author realized that the basic text books do not have an organized content according to the syllabus. In this book all the chapters are organized properly and contain a complete coverage. The sequence of the chapters has been set in a manner which would be very easy for the students to understand. The main importance of this book is on the solution of many real world problems. Each chapter contains multiple choice questions with answer and possible explanation. Also some important solutions and answers at the end as “Take a look to be more acquainted with”. In addition, modern and current topic in AI for an example Pattern Recognition, Data Clustering Algorithm, Genetic Algorithm with Data Clustering method, Swarm Intelligence, Tabu Search, Ant Colony Optimization are discussed in details. These concepts may motivate students to do projects .This book contains information about programming languages and the proper syntax with example is provided which may help students to practically apply this programming concepts. Mathematical explanation to understand the concept in detail about Single & Multi objective Genetic Algorithm, Neural Network, Fuzzy Logic is provided. The basic coverage of each and every chapter is mentioned before the chapter as “chapter utility”. This book has been designed in such a manner so that it becomes very easy to understand the language and comprehend not only for computer science department student but also for non departmental student as well.

      • Databases
        October 2019

        Data Science for Professionals

        by Prof. N.C. Das

        The book is meant for a wide-spectrum of readership-empirical scientists, consultants, technocrats, advertisers, researchers and students learning Data Science for conducting small replicated or non-replicated experiments / demonstrations. It deals with two-factor three-level designs to be conducted only in six experimental units. For this an exhaustive set of 9c6=9c3 = 84 designs have been generated. Least Square algorithm has been applied for estimating separate effect of each component and their interaction along with fitting of response surface; meeting both the objectives for any factorial experiment. Of them seventy-six could be found as valid or estimable designs and the rest as non-estimable ones. Value of the determinant obtained for Least Square Matrix for each such design has been the indicator of its D-optimality status: the same could also be obtained from geometric structure of the designs. Such exhaustive search ascertains (8+4) D-optimal designs; of them only (1+3) are hitherto known. Also, rotatable feature of any such design does not affect its D-optimality status. A simple method SAME has been devised to meet the said twin objectives, thus escaping matrix formation and related operations. Each such design could be combined to form pair of replicates or blocks of an experiment so as to fetch statistical significance test based on ANOVA and fitting the response surface.

      • Artificial intelligence

        ARTIFICIAL INTELLIGENCE : PRINCIPLES AND APPLICATIONS, SECOND EDITION

        PRINCIPLES AND APPLICATIONS

        by CHANDRA S.S., VINOD and HAREENDRAN S., ANAND

        Primarily intended for the undergraduate and postgraduate students of computer science and engineering, this textbook (earlier titled as Artificial Intelligence and Machine Learning), now in its second edition, bridges the gaps in knowledge of the seemingly difficult areas of artificial intelligence. This book promises to provide the most number of case studies and worked-out examples among the books of its genre. The text is written in a highly interactive manner which fulfils the curiosity of any reader.   Moreover, the content takes off from the introduction to artificial intelligence, which is followed by explaining about intelligent agents. Various problem-solving strategies, knowledge representation schemes are also included with numerous case studies and applications. Different aspects of learning, nature-inspired learning, along with natural language processing are also explained in depth. The algorithms and pseudo codes for each topic make this book useful for students. Book also throws light into areas like planning, expert system and robotics. Book concludes with futuristic artificial intelligence, which explains the fascinating applications, that the world will witness in coming years.   KEY FEATURES Day-to-day examples and practical representations for deeper understanding of the subject.   Learners can easily implement the AI applications.   Effective and useful case studies and worked-out examples for AI problems   Google Preview: https://bit.ly/3BYqloN

      • Artificial intelligence

        MACHINE LEARNING : A PRACTITIONER'S APPROACH

        A PRACTITIONER'S APPROACH

        by CHANDRA S.S., VINOD and HAREENDRAN S., ANAND

        The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and electrical and electronics engineering. It bridges the gaps in knowledge of the seemingly difficult areas of machine learning and nature inspired computing. The text is written in a highly interactive manner, which satisfies the learning curiosity of any reader. Content of the text has been diligently organized to offer seamless learning experience. The text begins with introduction to machine learning, which is followed by explanation of different aspects of machine learning. Various supervised, unsupervised, reinforced and nature inspired learning techniques are included in the text book with numerous examples and case studies. Different aspects of new machine learning and nature inspired learning algorithms are explained in-depth. The well-explained algorithms and pseudo codes for each topic make this book useful for students. The book also throws light on areas like prediction and classification systems.   Key Features Day to day examples and pictorial representations for deeper understanding of the subject   Helps readers easily create programs/applications   Research oriented approach   Case studies and worked-out examples for each machine learning algorithm than any other book   Google Preview: https://bit.ly/3n3WYLy

      • Artificial intelligence

        ARTIFICIAL INTELLIGENCE

        BUILDING INTELLIGENT SYSTEMS

        by KULKARNI, PARAG and JOSHI, PRACHI

        There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day-to-day life. But it is accentuated to have a book that keeps abreast of all the state-of-the-art concepts (pertaining to AI) in simplified, explicit and elegant way, expounding on ample examples so that the beginners are able to comprehend the subject with ease. The book on Artificial Intelligence, dexterously divided into 21 chapters, fully satisfies all these pressing needs. It is intended to put each and every concept related to intelligent system in front of the readers in the most simplified way so that while understanding the basic concepts, they will develop thought process that can contribute to the building of advanced intelligent systems. Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future work and trends in AI are now under the single umbrella of this book, thereby showing a nice blend of theoretical and practical aspects. With all the latest information incorporated and several pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and information technology.   Key Features Highlights a clear and concise presentation through adequate study material   Follows a systematic approach to explicate fundamentals as well as recent advances in the area   Presents ample relevant problems in the form of multiple choice questions, concept review questions, critical thinking exercise and project work   Incorporates various case studies for major topics as well as numerous industrial examples   Google Preview: https://bit.ly/2XvODYz

      • Human-computer interaction
        March 2020

        Ars intelligendi

        An Investigation into Intelligence and Thought from Hofstadter's Perspective

        by Fabio Leuzzi

        What features would intelligence have if we examined it without any prejudice due to human limits? Considering the peculiarities of man's intellect, in fact, makes us wonder whether it is just one of the possible expressions of intelligence. So far research studies have considered artificial intelligence like a tool for understanding human intelligence, whereas the author reflects on the possibility to analyse the main characteristics of intelligence in its purest expression, without those traits so human that seem to trap it in one of its possible manifestations. A non-human intelligence would be capable of very different thought patterns, offering new perspectives that otherwise would be precluded.

      • Cognition & cognitive psychology
        March 2003

        Cognitive Approach to Conscious Machines

        by Haikonen, Pentti O., A01

        Could a machine have an immaterial mind? The author argues that true conscious machines can be built, but rejects artificial intelligence and classical neural networks in favour of the emulation of the cognitive processes of the brain—the flow of...

      • Computing & IT
        July 2020

        Turning Point

        Policymaking in the Era of Artificial Intelligence

        by Darrell M. West and John R. Allen

        Artificial Intelligence is here, today. How can society make the best use of it? Until recently, “artificial intelligence” sounded like something out of science fiction. But the technology of artificial intelligence, AI, is becoming increasingly common, from self-driving cars to e-commerce algorithms that seem to know what you want to buy before you do. Throughout the economy and many aspects of daily life, artificial intelligence has become the transformative technology of our time. Despite its current and potential benefits, AI is little understood by the larger public and widely feared. The rapid growth of artificial intelligence has given rise to concerns that hidden technology will create a dystopian world of increased income inequality, a total lack of privacy, and perhaps a broad threat to humanity itself. In their compelling and readable book, two experts at Brookings discuss both the opportunities and risks posed by artificial intelligence—and how near-term policy decisions could determine whether the technology leads to utopia or dystopia. Drawing on in-depth studies of major uses of AI, the authors detail how the technology actually works. They outline a policy and governance blueprint for gaining the benefits of artificial intelligence while minimizing its potential downsides. The book offers major recommendations for actions that governments, businesses, and individuals can take to promote trustworthy and responsible artificial intelligence. Their recommendations include: creation of ethical principles, strengthening government oversight, defining corporate culpability, establishment of advisory boards at federal agencies, using third-party audits to reduce biases inherent in algorithms, tightening personal privacy requirements, using insurance to mitigate exposure to AI risks, broadening decision-making about AI uses and procedures, penalizing malicious uses of new technologies, and taking pro-active steps to address how artificial intelligence affects the workforce. Turning Point is essential reading for anyone concerned about how artificial intelligence works and what can be done to ensure its benefits outweigh its harm.

      • Technology, Engineering & Agriculture
        June 2020

        Artificial Intelligence in Agriculture

        by Rajesh Singh & Anita Gehlot, Mahesh Pratap Gehlot & Bhupendra Singh

        This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc.

      • Agriculture & farming
        August 2021

        Plant Growth Responses for Smart Agriculture Prospects and Applications

        by T. Girija,Nandini K. & Parvathi, M.S.

        Plant Physiology is a dynamic science which goes on adding knowledge to already characterized basic processes in plants. The past decade has witnessed an unprecedented progress in biological sciences with the advent of innovative technologiesviz. recombinant DNA techniques, omics approaches and advanced phenotyping platforms. These tools have helped to redefine many of the already accepted facts of plant life. The present publication will give an insight into the lesser known signals that can influence plant growth and development. Knowledge of plant physiological processes provides the base for research in cognate disciplines such as crop improvement, crop production and crop protection. With the impetus for clean cultivation, information provided in the book can motivate researchers in developing environment-friendly and non-chemical means of improving crop production and activate the innate ability of the plant to enhance their field performance.

      • Artificial intelligence
        August 2016

        Artificial Intelligence for Students

        by Subhasree Bhattacharjee

        The book covers 14 chapters altogether. The key concept of AI such as intelligent search, propositional and predicate logic, logic programming, knowledge representation schemes, probabilistic reasoning, planning, machine learning, genetic algorithms, fuzzy systems, natural language processing and knowledge acquisition issues are discussed. This book is unique for its simplicity, clarity of presentation, completeness of questions–solution sets and low volume. Appropriate examples with clear line diagrams is another key feature of this book. History and applications of AI are well described in the book. Blind search, heuristic search techniques, MINIMAX algorithm, logic of proposition and predicate, Logic programming are analysed in a simple manner. Semantic net, frame and script are described with suitable examples.

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