Artificial Intelligence and Inclusive Education, Jeremy Knox; Yuchen Wang; Michael Gallagher

Автор: Nikola K. Kasabov
Название: Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
ISBN: 3662577135 ISBN-13(EAN): 9783662577134
Издательство: Springer
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Цена: 260870.00 T
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Описание: Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.

Автор: Derek Anderson; Robert Niewiadomski
Название: Cultural and social implications of artificial intelligence in education /
ISBN: 1522577939 ISBN-13(EAN): 9781522577935
Издательство: Mare Nostrum (Eurospan)
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Цена: 154660.00 T
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Описание: Artificial intelligence serves as a catalyst for transformation in the field of education. This shift in the educational paradigm has a profound impact on the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Cultural and Social Implications of Artificial Intelligence in Education addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as ethics, critical thinking, and augmented intelligence and is designed for educators, academicians, administrators, researchers, and professionals.

Автор: Anderson
Название: Virtual Reality, Augmented Reality and Artificial Intelligence in Special Education
ISBN: 0367145324 ISBN-13(EAN): 9780367145323
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Описание: Offering a wealth of practical tips, downloadable resources and ideas for the classroom, this practical text explains how modern technologies, equipment and possibilities can be used to promote improved communication skills, independent learning, and heightened self-esteem amongst students with SEND.

Автор: Anderson
Название: Virtual Reality, Augmented Reality and Artificial Intelligence in Special Education
ISBN: 0367024535 ISBN-13(EAN): 9780367024536
Издательство: Taylor&Francis
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Цена: 33670.00 T
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Описание: Offering a wealth of practical tips, downloadable resources and ideas for the classroom, this practical text explains how modern technologies, equipment and possibilities can be used to promote improved communication skills, independent learning, and heightened self-esteem amongst students with SEND.

Автор: Govers Francis X.
Название: Artificial Intelligence for Robotics
ISBN: 1788835441 ISBN-13(EAN): 9781788835442
Издательство: Неизвестно
Цена: 73550.00 T
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Описание: Artificial Intelligence is arguably the most exciting and disruptive field of robotics which makes a man-made machine intelligent. This book will fulfill this vision by introducing various machine learning concepts to make your robot efficient. It will also equip your robot to make decisions, learn, and adapt based on its environment.

Автор: Kristin J. Dana
Название: Computational Texture and Patterns: From Textons to Deep Learning
ISBN: 1681730111 ISBN-13(EAN): 9781681730110
Издательство: Mare Nostrum (Eurospan)
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Цена: 51750.00 T
Наличие на складе: Невозможна поставка.
Описание: Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and sensors has resulted in vast amounts of raw data, but using this information effectively in a task-specific manner requires sophisticated computational representations. We enumerate specific desirable traits for these representations: (1) intraclass invariance—to support recognition; (2) illumination and geometric invariance for robustness to imaging conditions; (3) support for prediction and synthesis to use the model to infer continuation of the pattern; (4) support for change detection to detect anomalies and perturbations; and (5) support for physics-based interpretation to infer system properties from appearance. In recent years, computer vision has undergone a metamorphosis with classic algorithms adapting to new trends in deep learning. This text provides a tour of algorithm evolution including pattern recognition, segmentation and synthesis. We consider the general relevance and prominence of visual pattern analysis and applications that rely on computational models.

Автор: Danel Jaso
Название: Scene Reconstruction Pose Estimation & Tracking
ISBN: 1681175843 ISBN-13(EAN): 9781681175843
Издательство: Gazelle Book Services
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Цена: 230210.00 T
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Описание: This book envisages contemporary advances in the use of pattern recognition techniques for computer and robot vision. The disciplines of pattern recognition and computational vision have been intimately entangled since their early days, some four decades ago with the development of fast digital computing. It is generally easy for a person to differentiate the sound of a human voice, from that of a violin; a handwritten numeral "3" from an "8"; and the aroma of a rose, from that of an onion. Though, it is difficult for a programmable computer to solve these kinds of perceptual problems. These problems are difficult because each pattern usually contains a large amount of information, and the recognition problems typically have an inconspicuous, high-dimensional, structure. Pattern recognition is the science of making inferences from perceptual data, using tools from statistics, probability, computational geometry, machine learning, signal processing, and algorithm design. Thus, it is of central importance to artificial intelligence and computer vision, and has far-reaching applications in engineering, science, medicine, and business. In particular, advances made during the last half century, now allow computers to interact more effectively with humans and the natural world (eg: speech recognition software). However, the most important problems in pattern recognition are yet to be solved. Pattern recognition is generally categorised according to the type of learning procedure used to generate the output value. Supervised learning assumes that a set of training data (the training set) has been provided, consisting of a set of instances that have been properly labelled by hand with the correct output. All computer vision techniques could be regarded as a form of pattern recognition, in the broadest sense of the term.

Автор: Bilroy Muller
Название: Vision Sensors and Edge Detection
ISBN: 1681175886 ISBN-13(EAN): 9781681175881
Издательство: Gazelle Book Services
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Цена: 230210.00 T
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Описание: "Vision Sensors/Machine Vision Systems analyze images to perform appearance inspections, character inspections, positioning, and defect inspections. Vision sensors are products consisting of a video camera, display and interface, and computer processor to automate industrial processes and decisions. These are commonly used for measurement, pass/fail decisions, and other observable characteristics relating to product quality. When the camera has an integral processor, it is called a smart camera. Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision. Vision Sensors and Edge Detection provides a comprehensive overview of recent developments within the area of vision sensors and edge detection. It emphasizes on vision sensors with applications to panoramic vision sensors, wireless vision sensors, and automated vision sensor inspection, and image processing techniques."

Автор: Bilroy Muller
Название: Vision Systems: Segmentation & Pattern Recognition
ISBN: 1681175894 ISBN-13(EAN): 9781681175898
Издательство: Gazelle Book Services
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Цена: 230210.00 T
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Описание: Computer vision is the most important key in developing autonomous navigation systems for interaction with the environment. It also leads us to marvel at the functioning of our own vision system. Research in computer vision has exponentially improved in the last two decades because of the convenience of cheap cameras and fast processors. This increase has also been accompanied by a blurring of the boundaries between the different applications of vision, making it truly interdisciplinary. Vision systems can be thought of as computers with eyes that can identify, inspect and communicate critical information to eliminate costly errors, improve productivity and enhance customer satisfaction through the consistent delivery of quality products. Primarily used for online inspection, vision systems can perform complex or mundane repetitive tasks at high speed with high accuracy and high consistency. Vision Systems: Segmentation and Pattern Recognition attempted to put together state-of-the-art research and developments in segmentation and pattern recognition.

Автор: Penstein Ros?
Название: Artificial Intelligence in Education
ISBN: 3319938452 ISBN-13(EAN): 9783319938455
Издательство: Springer
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Цена: 74530.00 T
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Описание: This two volume set LNAI 10947 and LNAI 10948 constitutes the proceedings of the 19th International Conference on Artificial Intelligence in Education, AIED 2018, held in London, UK, in June 2018.The 45 full papers presented in this book together with 76 poster papers, 11 young researchers tracks, 14 industry papers and 10 workshop papers were carefully reviewed and selected from 192 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas.

Автор: Toshinori Munakata
Название: Fundamentals of the New Artificial Intelligence
ISBN: 1447168038 ISBN-13(EAN): 9781447168034
Издательство: Springer
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Цена: 55850.00 T
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Описание: The book covers the most essential and widely employed material in each area, particularly the material important for real-world applications. Symbolic AI covers areas such as knowledge-based systems, logical reasoning, symbolic machine learning, search techniques, and natural language processing.