From New York Times bestselling and modern master of science fiction, Iain M. Banks, The State of the Art is the acclaimed collection of Banks's short fiction. “Banks is a phenomenon...writing pure science fiction of a peculiarly gnarly energy and elegance.” –William Gibson This is a striking addition to the body of Culture lore, and adds definition and scale to the previous works by using the Earth of 1977 as contrast. The stories in the collection range from science fiction to horror, dark-coated fantasy to morality tale. All bear the indefinable stamp of Iain Banks's staggering talent. “Few of us have been exposed to a talent so manifest and of such extraordinary breadth.” –New York Review of Science Fiction “[Banks] can summon up sense-of-wonder Big Concepts you've never seen before and display them with narration as deft as a conjuror's fingers." –scifi.com The Culture series: Consider Phlebas The Player of Games Use of Weapons The State of the Art Excession Inversions Look to Windward Matter Surface Detail The Hydrogen Sonata

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.

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

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.

The papers were selected from more than a dozen sources, including IEEE Computer, Software -- Practice & Experience, IEEE Transactions on Software Engineering, and Communications of the ACM.