The books in this series present leading-edge research in the field of computer research, technology and applications. Each contribution has been carefully selected for inclusion based on the significance of the research to the field. Summaries of all chapters are gathered at the beginning of the book and an in-depth index is presented to facilitate access.

Experts in computers, biotechnology, structural materials, and transportation provide a concise introduction to the promising technologies in these four exciting fields that affect all of society. Each section begins with a brief overview of the field, followed by more detailed papers describing specific technological advances, their current and projected applications, and the obstacles that must be overcome to ensure future progress.

This book aims to bring together Researchers, Scientists, Engineers, Scholars and Students in the areas of computer engineering and information technology, and provides a forum for the dissemination of original research results, new ideas, Research and development, practical experiments, which concentrate on both theory and practices, for the benefit of the society. The book also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computer Science and Information Technology in the context of Distributed computing, Big data, High performance computing, Internet-of-Things, and digital pedagogy. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware mechanisms in high performance computing and IoT applications. This book aspires to convey researchers’ experiences, to present excellent result analysis, future scopes, and challenges facing the field of computer science, information technology, telecommunication, and digital pedagogy. This book aims to attract researchers and practitioners who are working in Information Technology and Computer Science. This book is about basics and high level concepts regarding intelligent computing paradigm, communications, and digital learning process. The book serves as a useful guide for Undergraduates, Postgraduates and Research Scholar in the field of Computer Science, Information Technology, and Electronics Engineering. We believe that this volume not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.

Introduction to Ukraine is a brief overview of the country situated in Eastern Europe, which gained independence from the Soviet Union in 1991. The capital of Ukraine is Kiev, and the official language is Ukrainian. The population of Ukraine is approximately 44 million, making it the 32nd most populous country in the world. Ukraine has a rich cultural and historical heritage, as well as a diverse landscape, including the Carpathian Mountains and the Black Sea coastline. Ukraine is an important agricultural producer, particularly of wheat, corn, and potatoes. Additionally, Ukraine has a significant industrial sector, including steel production and aerospace engineering. The political situation in Ukraine has been unstable since the overthrow of former President Viktor Yanukovych in 2014, with the ongoing conflict with Russia over the annexation of Crimea and the ongoing fighting in eastern Ukraine between Ukrainian government forces and Russian-backed separatists. Despite these challenges, Ukraine has made progress towards integration with the European Union, and in 2020, President Volodymyr Zelensky announced plans for major reforms in the country, including anti-corruption measures and judicial reform. With its rich history and promising future, Ukraine remains an important country and emerging democracy in Eastern Europe.

This book discusses fundamental and high-level concepts relating to intelligent computing and communications in the context of distributed computing, big data, high performance computing and the Internet of Things. It is becoming increasingly important to develop adaptive, intelligent, computing-centric, energy-aware, secure and privacy-aware mechanisms in high-performance computing and IoT applications. Serving as a useful guide for researchers and practitioners working in the field of information technology and computer science, the book also appeals to beginners wanting to learn more about the better computing paradigm. In addition, it provides a platform for researchers, engineers, academics and industry professionals from around the globe to share their research findings.

The focus of this report is on artificial intelligence (AI) and human-computer interface (HCI) technology. Observations, conclusions, and recommendations regarding AI and HCI are presented in terms of six grand challenge areas which serve to identify key scientific and engineering issues and opportunities. Chapter 1 presents the panel's definitions of these and related terms. Chapter 2 presents the panel's general observations and recommendations regarding AI and HCI. Finally, Chapter 3 discusses computer science, AI, and HCI in terms of the six selected "grand challenge" areas and three time horizons, that is, short term (within the next 2 years), midterm (2 to 6 years), and long term (more than 6 years from now) and presents additional recommendations in these areas.

Are women really kicking butt in computer science? National statistics show little progress in the participation of women in computing; this in spite of numerous studies, reports and recommendations on the topic. Some might say the reasons for the situation remain a mystery. However, at Carnegie Mellon University we do not believe that the situation is either so mysterious or such an intractable problem. Indeed, women are kicking butt in computer science in some cultures and environments. This book tells the Carnegie Mellon story, a positive story of how one school developed a culture and environment in which both women and men could thrive and be successful in computer science.

"In their fascinating analysis of the recent history of information technology, H. Peter Alesso and Craig F. Smith reveal the patterns in discovery and innovation that have brought us to the present tipping point. . . . A generation from now, every individual will have personally tailored access to the whole of knowledge . . . the sooner we all begin to think about how we got here, and where we're going, the better. This exciting book is an essential first step." —From the Foreword by James Burke Many people envision scientists as dispassionate characters who slavishly repeat experiments until "eureka"—something unexpected happens. Actually, there is a great deal more to the story of scientific discovery, but seeing "the big picture" is not easy. Connections: Patterns of Discovery uses the primary tools of forecasting and three archetypal patterns of discovery—Serendipity, Proof of Principle, and 1% Inspiration and 99% Perspiration—to discern relationships of past developments and synthesize a cohesive and compelling vision for the future. It challenges readers to think of the consequences of extrapolating trends, such as Moore's Law, to either reach real machine intelligence or retrench in the face of physical limitations. From this perspective,the book draws "the big picture" for the Information Revolution's innovations in chips, devices, software, and networks. With a Foreword by James Burke and bursting with fascinating detail throughout, Connections: Patterns of Discovery is a must-read for computer scientists, technologists, programmers, hardware and software developers, students, and anyone with an interest in tech-savvy topics.