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Summary: Since both IoT and Big Data have a lot of overlap, it is an ideal time to present the recent advances which are taking place at the intersections of both these fields to identify future trends. The book covers the important aspects of Big Data-enabled IoT. The main focus of the book is on the analytical techniques for handling the huge amount of data generated by the IoT. The book is oriented toward those professionals and researchers interested in both of these booming fields. The topics covered in the book will be of interest to computing researchers, practitioners, engineers, and Information Technology professionals working in the highly dynamic field of Big Data-enabled IoT. The book can be viewed as an introduction to the area, as it cover the most important issues, presenting applied research works. The book identifies and shows the research challenges that are yet to be solved. Thus, it can also be used by researchers starting their work in the area

Summary: FinTech is an emerging field and most of the existing literature appears in the form of industry reports, consulting reports, working papers, and policy recommendations. Although FinTech has been widely discussed for many years, there is a paucity of literature on some categorizations of FinTech. This edited volume distinguishes itself by focusing on academic works of scholars with a different area of specialization in the FinTech field including technology, innovation and regulation. In particular, the book focuses on the laws and technologies necessary to comprehend the role of the legal system in technological innovations and will be helpful for regulatory policymaking. A practical compendium that explains concepts and follows through on applications in FinTech including its challenges and evolving nature, this book will be of interest to students, scholars, practitioners as well as regulators and policy makers.

Summary: The book, Modern Communication with Social Media, explores the evolution of communication, communication media, and covers social media in detail. It examines some of the most popular social media platforms available today. The book concludes with an analysis of various social media management tools. Social media enables people to connect with one another, regardless of distance, time, and other factors. For individuals, it is a valuable tool/platform to communicate and share information. For businesses, it is a means to connect with customers and utilize targeted advertising features of social media platforms. The book is a simplified primer or guide to Communication and Social Media. The book begins with exploring the evolution and history of communication and communication media over the centuries. It then moves on to introduce social media in detail. It examines some of the most popular social media platforms available today. The book concludes with an analysis of various social media management tools. By the end of this book, readers would be familiar with the basics of communication concepts, social media and its features and benefits, working with popular social media platforms such as Twitter, Facebook, and so on and they would be aware of major social media management tools.

Summary: This book is an edited selection of the papers presented at the International Workshop on VLSI for Artifidal Intelligence and Neural Networks which was held at the University of Oxford in September 1990. Our thanks go to all the contributors and especially to the programme committee for all their hard work. Thanks are also due to the ACM-SIGARCH, the IEEE Computer Society, and the lEE for publicizing the event and to the University of Oxford and SUNY-Binghamton for their active support. We are particularly grateful to Anna Morris, Maureen Doherty and Laura Duffy for coping with the administrative problems. Jose Delgado-Frias Will Moore April 1991 vii PROLOGUE Artificial intelligence and neural network algorithms/computing have increased in complexity as well as in the number of applications. This in tum has posed a tremendous need for a larger computational power than can be provided by conventional scalar processors which are oriented towards numeric and data manipulations. Due to the artificial intelligence requirements (symbolic manipulation, knowledge representation, non-deterministic computations and dynamic resource allocation) and neural network computing approach (non-programming and learning), a different set of constraints and demands are imposed on the computer architectures for these applications.