Quantum Materials, Devices, and Applications covers the advances made in quantum technologies, both in research and mass production for applications in electronics, photonics, sensing, biomedical, environmental and agricultural applications. The book includes new materials, new device structures that are commercially available, and many more at the advanced research stage. It reviews the most relevant, current and emerging materials and device structures, organized by key applications and covers existing devices, technologies and future possibilities within a common framework of high-performance quantum devices. This book will be ideal for researchers and practitioners in academia, industry and those in materials science and engineering, electrical engineering and physics disciplines.

Nanotechnology Applications for Food Safety and Quality Monitoring brings together nanotechnology science-based research for food safety and quality monitoring. With the advancement in knowledge about behavior of nano-engineered materials in food and its toxicity, the application of nanotechnology is expected to reach unprecedented levels in achieving food safety. Currently, there is no practical resource of nanotechnology as a tool specifically for monitoring safety and quality. This is a practical, concise, applications-based reference that is essential for food industry researchers and scientists to monitor the safety and quality of food to ensure quality food supplies.

The advancement in FinTech especially artificial intelligence (AI) and machine learning (ML), has significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are getting more complex in the field of finance. ML is used in many financial companies which are making a significant impact on financial services. With the increasing complexity of financial transaction processes, ML can reduce operational costs through process automation which can automate repetitive tasks and increase productivity. Among others, ML can analyze large volumes of historical data and make better trading decisions to increase revenue. This book provides an exhaustive overview of the roles of AI and ML algorithms in financial sectors with special reference to complex financial applications such as financial risk management in a big data environment. In addition, it provides a collection of high-quality research works that address broad challenges in both theoretical and application aspects of AI in the field of finance.

In this engaging account of innovative triumphs, Guru Madhavan examines the ways in which engineers throughout history created world-changing tools, from ATMs and ZIP codes to the digital camera and the disposable diaper. Equal parts personal, practical, and profound, Applied Minds charts a path to a future where we borrow strategies from engineering to find inspired solutions to our most pressing challenges.