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This book discusses fruitful achievements in basic cognitive theories, processing technologies of visual and auditory information and research platforms. This book also can provide strong support for the research and development of artificial intelligence of major national projects, playing important roles in national application systems such as unmanned systems and smart cities. In addition, it has laid a solid foundation for the development of artificial intelligence in China. Intended for researchers who have been following the evolution of and trends in the artificial intelligence, the book is also a valuable reference resource for practitioners and scholars at various levels and in various fields.
This book discusses fruitful achievements in basic cognitive theories, processing technologies of visual and auditory information and research platforms. This book also can provide strong support for the research and development of artificial intelligence of major national projects, playing important roles in national application systems such as unmanned systems and smart cities. In addition, it has laid a solid foundation for the development of artificial intelligence in China. Intended for researchers who have been following the evolution of and trends in the artificial intelligence, the book is also a valuable reference resource for practitioners and scholars at various levels and in various fields.
In recent years, the application of intelligent transportation systems (ITS) has steadily expanded, and has become a hot spot of common interest to universities, scientific research institutes, enterprises and institutions in the transportation field. ITS is the product of the deep integration of modern high-tech in the transportation industry, and its development has accompanied that of modern high-tech. ITS is now also becoming part of the Internet of Things (IoT), and is expected to contribute significantly to making our cities smarter and connecting with other infrastructure. Although there are many monographs and textbooks on intelligent transportation, with the advancement of technology and changes in demand, the key technologies of ITS are also rapidly changing. This book chiefly focuses on the main technologies of ITS, examining them from four perspectives: “sense” (perception and management of traffic information, chapters 2 & 3), “transmission” (interaction of traffic information, chapter 4), “prediction” (prediction of traffic states, chapter 6) and “application” (intelligent transportation applications, chapters 6 through 10). Given its scope, the book can be used as a textbook for undergraduates or graduates, as well as a reference book for research institutes and enterprises. This book emphasizes the use of basis traffic engineering principles and state-of-art methodologies to develop functional designs. It largely reflects the authors’ own experience in adapting these methodologies to ITS design. For example, the book addresses various forms of data collection, models used to predict and evaluate traffic states, comprehensive description in connected vehicles, applications for users and traffic managers, etc. The knowledge gained here will allow designers to estimate the performance differences among alternatives and gauge their potential benefits for functional design purposes. To gain the most from the book, readers should be somewhat familiar with the field of traffic engineering and interested in ITS.
This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users. 1. Highlights recent applications and techniques in cyber intelligence 2. Includes the proceedings of the 2021 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2021) 3. Presents a broad range of scientific research on cyber intelligence
An engaging and relatable examination of how we perceive and interpret the world around us The study of human cognitive processes provides insight into why we act or react the way we do. Understanding cognition can help us understand ourselves and others and can even allow us to make educated predictions about future behaviors. In Cognition, 11th Edition, author Thomas Farmer updates this classic text with the latest advances in the field and more in-depth coverage of prominent topics. Expanded and refined throughout, this edition retains the breadth of scope and depth of detail that has made it the go-to text on the topic. Cognition emphasizes the link between conceptual cognitive psychology and real-world experience: case studies, current trends, and historical perspectives merge to provide a comprehensive understanding of core principles and theories. Discusses behavioral measures and overviews classical behaviorist paradigms Extends the discussions of sensory transduction, procedural memory, and more Clarifies theories of attention and the distinction between controlled vs. automatic processing Includes self quizzes at the end of each chapter, plus updates to all chapters with new and revised content New to the 11th Edition: On average, each chapter includes three or four major points of revision aimed either at better explaining a particular process or theory or at bring the examination of cognitive processes up-to-date with current science. Practice questions for each chapter are available in formats suitable for both pen-and-paper use and digital use. Instructor resources are enhanced with new lecture presentation slides and chapter outlines annotated by the author to facilitate lecture design and delivery.
Understand, design, and create cognitive applications using Watson’s suite of APIs. Key FeaturesDevelop your skills and work with IBM Watson APIs to build efficient and powerful cognitive appsLearn how to build smart apps to carry out different sets of activities using real-world use casesGet well versed with the best practices of IBM Watson and implement them in your daily workBook Description Cognitive computing is rapidly infusing every aspect of our lives riding on three important fields: data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system grows. This book introduces readers to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI through the set of APIs provided by IBM Watson. This book will help you build your own applications to understand, plan, and solve problems, and analyze them as per your needs. You will learn about various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems, using different IBM Watson APIs. From this, the reader will learn what ML is, and what goes on in the background to make computers "do their magic," as well as where these concepts have been applied. Having achieved this, the readers will then be able to embark on their journey of learning, researching, and applying the concept in their respective fields. What you will learnGet well versed with the APIs provided by IBM Watson on IBM CloudLearn ML, AI, cognitive computing, and neural network principlesImplement smart applications in fields such as healthcare, entertainment, security, and moreUnderstand unstructured content using cognitive metadata with the help of Natural Language UnderstandingUse Watson’s APIs to create real-life applications to realize their capabilitiesDelve into various domains of cognitive computing, such as media analytics, embedded deep learning, computer vision, and moreWho this book is for This book is for beginners and novices; having some knowledge about artificial intelligence and deep learning is an advantage, but not a prerequisite to benefit from this book. We explain the concept of deep learning and artificial intelligence through the set of tools IBM Watson provides.
The growing importance of the sciences in industrialised societies has been acknowledged by the increasing number of studies concerned with their development, change and control. In the past 20 or so years there has been a considerable growth in teaching and research programmes dealing with science and technology policy, science and society, sociology and history of science and similar areas which has resulted in much new material about the production and validation of scientific knowledge. In addition to the quanti tative growth of this literature, there has also been a substantial shift in the problems addressed and approaches adopted. In particular, the substantive content of scientific knowledge has become the focus of many historical and sociological studies which seek to understand how knowledges develop and change in different social circumstances. Instead of taking the privileged epistemological status of scientific knowledge for granted, recent approaches have emphasised the socially contingent nature of knowledge production and validation and the pluralistic nature of the sciences. Parallel to these develop ments, there has been a shift in the treatment of science by the state, business and public pressure groups. Increasingly they have sought to control the direction of research, and thus the content of knowledge, directly rather than simply applying existing knowledge. Science has become amenable to social control and influence. Its sacred status has declined and it is increasingly viewed as a socially constituted phenomenon which can be studied in a similar manner to other cultural products.
An evidence based, rigorous text reviewing 12 principles of experimental studies grounded in cognitive theory of multi-media learning.
This edited book designs the Cognitive Computing in Human Cognition to analyze to improve the efficiency of decision making by cognitive intelligence. The book is also intended to attract the audience who work in brain computing, deep learning, transportation, and solar cell energy. Due to this in the recent era, smart methods with human touch called as human cognition is adopted by many researchers in the field of information technology with the Cognitive Computing.
Margaret Matlin and new co-author Thomas Farmer’s Cognition demonstrate how cognitive processes are relevant to everyday, real-world experiences, and frequently examines how cognition can be applied to other disciplines such as clinical psychology, social psychology, consumer psychology, education, communication, business, medicine, and law. The 9th edition continues to relate cognitive topics to applications in everyday life. This edition is fully updated with research and additional anecdotes. It also includes more research on neuroscience.