State Of The Art

The works of Iain M. Banks have forever changed the face of modern science fiction. With breathtaking imagination and extraordinary storytelling, they have secured his reputation as one of the most extraordinary and influential writers in the genre. 'Banks is a phenomenon' William Gibson The State of the Art is the only collection of Iain M. Banks's short fiction and includes the acclaimed Culture novella of the same name. From science fiction to horror, dark fantasy to twisted comedy, all eight stories bear the indefinable stamp of Banks's staggering talent. Praise for the novels of Iain M. Banks: 'Epic in scope, ambitious in its ideas and absorbing in its execution' Independent on Sunday 'Banks has created one of the most enduring and endearing visions of the future' Guardian 'Jam-packed with extraordinary invention' Scotsman 'Compulsive reading' Sunday Telegraph The novels of Iain M. Banks: The Culture series Consider Phlebas The Player of Games Use of Weapons Excession Inversions Look to Windward Matter Surface Detail The Hydrogen Sonata The State of the Art Other books by Iain M. Banks Against a Dark Background Feersum Endjinn The Algebraist Also now available: The Culture: The Drawings - an extraordinary collection of original illustrations faithfully reproduced from sketchbooks Banks kept in the 1970s and 80s, depicting the ships, habitats, geography, weapons and language of Banks' Culture series of novels in incredible detail.

State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1 covers the state-of-the-art deep learning approaches for the detection of renal, retinal, breast, skin, and dental abnormalities and more. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD), with coverage of computer-aided classification, Unified Deep Learning Frameworks, mammography, fundus imaging, optical coherence tomography, cryo-electron tomography, 3D MRI, CT, and more Covers deep learning for several medical conditions including renal, retinal, breast, skin, and dental abnormalities, Medical Image Analysis, as well as detection, segmentation, and classification via AI

Narrative – State of the Art which was originally published as a Special Issue of Narrative Inquiry 16:1 (2006) is edited by Michael Bamberg and contains 24 chapters (with a brief introduction by the editor) that look back and take stock of developments in narrative theorizing and empirical work with narratives. The attempt has been made to bring together researchers from different disciplines, with very different concerns, and have them express their conceptions of the current state of the art from their perspectives. Looking back and taking stock, this volume further attempts to begin to deliver answers to the questions (i) What was it that made the original turn to narrative so successful? (ii) What has been accomplished over the last 40 years of narrative inquiry? (iii) What are the future directions for narrative inquiry? The contributions to this volume are deliberately kept short so that the readers can browse through them and get a feel about the diversity of current narrative theorizing and emerging new trends in narrative research. It is the ultimate aim of this edited volume to stir up discussions and dialogue among narrative researchers across these disciplines and to widen and open up the territory of narrative inquiry to new and innovative work.

Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of meaningful symbols, prominent in knowledge representation. In the past, these two fields of AI have been largely separate, with very little crossover, but the so-called “third wave” of AI is now bringing them together. This book, Neuro-Symbolic Artificial Intelligence: The State of the Art, provides an overview of this development in AI. The two approaches differ significantly in terms of their strengths and weaknesses and, from a cognitive-science perspective, there is a question as to how a neural system can perform symbol manipulation, and how the representational differences between these two approaches can be bridged. The book presents 17 overview papers, all by authors who have made significant contributions in the past few years and starting with a historic overview first seen in 2016. With just seven months elapsed from invitation to authors to final copy, the book is as up-to-date as a published overview of this subject can be. Based on the editors’ own desire to understand the current state of the art, this book reflects the breadth and depth of the latest developments in neuro-symbolic AI, and will be of interest to students, researchers, and all those working in the field of Artificial Intelligence.

It is rare that a book draws together the knowledge and experience of scientists, each a world leader in his or her discipline, to create a work that presents the state of the art in a field as rich and diverse as solar energy. In Solar Energy - the State of the Art this aim has been achieved. The book comprises twelve individual chapters, each dedicated to one of the major solar energy sub-disciplines and authored by an internationally recognised expert in the field. Areas covered range from solar radiation and meteorology, solar collectors and concentrators, solar energy and the built environment, to solar thermal electricity, photovoltaics, wind energy and the potential cost of ignoring solar energy resources. The papers examine the technology and field in question, discuss the rudiments and major applications, review the current science and technology and explore the remaining challenges for the future. Solar Energy - the State of the Art is an essential reference work for all solar energy practitioners, students, researchers and engineers wishing to gain a broad-based understanding of the theory, technology, applications and issues surrounding the broad, interdisciplinary field of solar energy. The book will form an important component of any library's solar energy holding and will be of particular benefit as an academic reference, as well as being of practical value to professionals who wish to gain a clear understanding of the concepts required to move forward in this field. Published with ISES.

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers

This book provides an archival forum for researchers, academics, practitioners and industry professionals interested and/or engaged in reforming teaching and learning methods by transforming today’s learning environments into smart learning environments. It will facilitate opportunities for discussions and constructive dialogue between various stakeholders on the limitations of current learning environments, the need for reform, innovative uses of emerging pedagogical approaches and technologies, and sharing and promoting best practices, which will lead to the evolution, design and implementation of smart learning environments. The focus of the contributions is on the interplay and fusion of pedagogy and technology to create these new environments. The components of this interplay include but are not limited to: Pedagogy: learning paradigms, assessment paradigms, social factors, policy Technology: emerging technologies, innovative uses of mature technologies, adoption, usability, standards, and emerging/new technological paradigms (open educational resources, cloud computing, etc.) Fusion of pedagogy and technology: transformation of curricula, transformation of teaching behavior, transformation of administration, best practices of infusion, piloting of new ideas.