Jyoti Kandpal – författare

The text provides a comprehensive and forward-looking exploration of the integration between low-power CMOS VLSI design and cutting-edge technologies such as artificial intelligence and machine learning. Explores how artificial intelligence techniques are revolutionizing VLSI design, focusing on optimizing low-power circuits and systems. Presents the latest advancements and research in both artificial intelligence and VLSI design, such as FinFET and nanosheet-based logic, analog integrated circuits design, and optimization with artificial intelligence. Offers perspectives on future trends and potential developments in the integration of artificial intelligence with VLSI design to reduce the complexity and time-consuming process of semiconductor IC design. Addresses techniques for achieving energy efficiency in both digital and analog components and presents future trends in low-power VLSI design. Discusses topics such as artificial intelligence-driven adaptive power management in VLSI design and neural networks in low-power VLSI architectures. The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, microelectronics, VLSI design, artificial intelligence, computer science and engineering.

The text provides a comprehensive and forward-looking exploration of the integration between low-power CMOS VLSI design and cutting-edge technologies such as artificial intelligence and machine learning. Explores how artificial intelligence techniques are revolutionizing VLSI design, focusing on optimizing low-power circuits and systems. Presents the latest advancements and research in both artificial intelligence and VLSI design, such as FinFET and nanosheet-based logic, analog integrated circuits design, and optimization with artificial intelligence. Offers perspectives on future trends and potential developments in the integration of artificial intelligence with VLSI design to reduce the complexity and time-consuming process of semiconductor IC design. Addresses techniques for achieving energy efficiency in both digital and analog components and presents future trends in low-power VLSI design. Discusses topics such as artificial intelligence-driven adaptive power management in VLSI design and neural networks in low-power VLSI architectures. The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, microelectronics, VLSI design, artificial intelligence, computer science and engineering.

The text provides a comprehensive and forward-looking exploration of the integration between low-power CMOS VLSI design and cutting-edge technologies such as artificial intelligence and machine learning.Explores how artificial intelligence techniques are revolutionizing VLSI design, focusing on optimizing low-power circuits and systems.Presents the latest advancements and research in both artificial intelligence and VLSI design, such as FinFET and nanosheet-based logic, analog integrated circuits design, and optimization with artificial intelligence.Offers perspectives on future trends and potential developments in the integration of artificial intelligence with VLSI design to reduce the complexity and time-consuming process of semiconductor IC design.Addresses techniques for achieving energy efficiency in both digital and analog components and presents future trends in low-power VLSI design.Discusses topics such as artificial intelligence-driven adaptive power management in VLSI design and neural networks in low-power VLSI architectures.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, microelectronics, VLSI design, artificial intelligence, computer science and engineering.

Unlock the future of nanotechnology with this essential guide, which provides an exhaustive exploration of solutions to overcome the physical limits of silicon and optimize the performance of next-generation nanoscale semiconductor devices. As the role of microelectronics grows in today’s world, there is a need for new material solutions that move away from the limited conductivity of silicon to improve the electronic properties in nanoscale semiconductor devices. This unique guide exhaustively explores a number of topics, including 2D materials, microelectronic devices, large VLSI circuit design, and leakage mitigation techniques. The book showcases in-depth analyses of microelectronic device structures and their applications, properties, and characterization. With its easy-to-understand approach, this book is an excellent resource for novices and experts alike.

Unlock the future of nanotechnology with this essential guide, which provides an exhaustive exploration of solutions to overcome the physical limits of silicon and optimize the performance of next-generation nanoscale semiconductor devices. As the role of microelectronics grows in today s world, there is a need for new material solutions that move away from the limited conductivity of silicon to improve the electronic properties in nanoscale semiconductor devices. This unique guide exhaustively explores a number of topics, including 2D materials, microelectronic devices, large VLSI circuit design, and leakage mitigation techniques. The book showcases in-depth analyses of microelectronic device structures and their applications, properties, and characterization. With its easy-to-understand approach, this book is an excellent resource for novices and experts alike.