Frontiers of Quality Electronic Design (QED): AI, IoT and Hardware Security

This book explores the latest trends in quality electronic design, with a focus on hardware security, cybersecurity, machine learning, and AI. It covers topics such as NVM, IoT, FPGA, and neural networks.

Format: Hardback
Length: 679 pages
Publication date: 12 January 2023
Publisher: Springer International Publishing AG

Quality Electronic Design (QED) is a vast and intricate field that encompasses a multitude of disciplines and technologies, where boundaries between them often blur. This comprehensive book delves into the latest developments and trends in several critical areas related to quality electronic design, with a particular focus on Hardware Security, Cybersecurity, Machine Learning, and the application of Artificial Intelligence (AI). Within its pages, readers will find a wealth of information on nonvolatile memories (NVM), the Internet of Things (IoT), field-programmable gate arrays (FPGA), and neural networks.

Hardware Security is a fundamental aspect of QED, as it ensures the protection of electronic systems and components from malicious attacks and unauthorized access. The book discusses various techniques and technologies used to enhance hardware security, such as secure hardware design, trusted computing, and hardware-based encryption. Cybersecurity is another critical area that receives extensive attention in the book. With the increasing prevalence of cyber threats, it is essential to develop robust security measures to protect sensitive data and systems. The book explores the latest cybersecurity techniques, such as encryption, intrusion detection systems, and identity management, and their application in various industries.

Machine Learning is a rapidly evolving field that has the potential to revolutionize various industries, including electronics design. The book discusses the principles of machine learning and its applications in electronic design, such as pattern recognition, image processing, and autonomous systems. It also explores the challenges and limitations of machine learning and the need for interdisciplinary collaboration to fully harness its potential.

The application of Artificial Intelligence (AI) in electronic design is another exciting area that is explored in the book. AI has the ability to enhance the efficiency, accuracy, and reliability of electronic systems by enabling them to make decisions based on data and algorithms. The book discusses the various AI techniques, such as deep learning, natural language processing, and machine vision, and their application in electronic design, such as autonomous vehicles, medical imaging, and consumer electronics.

In addition to these core topics, the book also includes chapters on nonvolatile memories (NVM), the Internet of Things (IoT), field-programmable gate arrays (FPGA), and neural networks. NVM is a type of memory that retains its data even when power is disconnected, making it ideal for applications such as embedded systems and solid-state drives. The IoT is a network of physical devices that can communicate with each other and with the internet, enabling the collection and analysis of vast amounts of data. FPGA is a programmable logic device that can be used to accelerate the design and implementation of electronic systems. Neural networks are a type of artificial intelligence that mimics the workings of the human brain, allowing them to perform complex tasks such as image recognition and speech recognition.

Overall, this book is a valuable resource for professionals and students in the field of electronic design, providing them with a comprehensive understanding of the latest trends and technologies in the industry. It is a must-read for anyone who wants to stay ahead of the curve and contribute to the development of innovative and secure electronic systems.
Quality Electronic Design (QED) is a vast and intricate field that encompasses a multitude of disciplines and technologies, where boundaries between them often blur. This comprehensive book delves into the latest developments and trends in several critical areas related to quality electronic design, with a particular focus on Hardware Security, Cybersecurity, Machine Learning, and the application of Artificial Intelligence (AI). Within its pages, readers will find a wealth of information on nonvolatile memories (NVM), the Internet of Things (IoT), field-programmable gate arrays (FPGA), and neural networks.

Hardware Security is a fundamental aspect of QED, as it ensures the protection of electronic systems and components from malicious attacks and unauthorized access. The book discusses various techniques and technologies used to enhance hardware security, such as secure hardware design, trusted computing, and hardware-based encryption. Cybersecurity is another critical area that receives extensive attention in the book. With the increasing prevalence of cyber threats, it is essential to develop robust security measures to protect sensitive data and systems. The book explores the latest cybersecurity techniques, such as encryption, intrusion detection systems, and identity management, and their application in various industries.

Machine Learning is a rapidly evolving field that has the potential to revolutionize various industries, including electronics design. The book discusses the principles of machine learning and its applications in electronic design, such as pattern recognition, image processing, and autonomous systems. It also explores the challenges and limitations of machine learning and the need for interdisciplinary collaboration to fully harness its potential.

The application of Artificial Intelligence (AI) in electronic design is another exciting area that is explored in the book. AI has the ability to enhance the efficiency, accuracy, and reliability of electronic systems by enabling them to make decisions based on data and algorithms. The book discusses the various AI techniques, such as deep learning, natural language processing, and machine vision, and their application in electronic design, such as autonomous vehicles, medical imaging, and consumer electronics.

In addition to these core topics, the book also includes chapters on nonvolatile memories (NVM), the Internet of Things (IoT), field-programmable gate arrays (FPGA), and neural networks. NVM is a type of memory that retains its data even when power is disconnected, making it ideal for applications such as embedded systems and solid-state drives. The IoT is a network of physical devices that can communicate with each other and with the internet, enabling the collection and analysis of vast amounts of data. FPGA is a programmable logic device that can be used to accelerate the design and implementation of electronic systems. Neural networks are a type of artificial intelligence that mimics the workings of the human brain, allowing them to perform complex tasks such as image recognition and speech recognition.

Overall, this book is a valuable resource for professionals and students in the field of electronic design, providing them with a comprehensive understanding of the latest trends and technologies in the industry. It is a must-read for anyone who wants to stay ahead of the curve and contribute to the development of innovative and secure electronic systems.

Weight: 1208g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031163432
Edition number: 1st ed. 2023