04071nam a22004334u 4500 10.1002/9781394205158 Wiley 20251030120308.0 cr nn 008mam|a 240731t2024||||xxu fs| |0|| 0|eng|| 9781394205158 electronic 10.1002/9781394205158 doi eng Integrated Devices for Artificial Intelligence and VLSI [electronic resource] Edited by Balwinder Raj, Suman Lata Tripathi, Tarun Chaudhary, K. Srinivasa Rao, Mandeep Singh. 1 Wiley 2024 Wiley 2024 384pp.; text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft PDF With its in-depth exploration of the close connection between microelectronics, AI, and VLSI technology, this book offers valuable insights into the cutting-edge techniques and tools used in VLSI design automation, making it an essential resource for anyone seeking to stay ahead in the rapidly evolving field of VLSI design. Very large-scale integration (VLSI) is the inter-disciplinary science of utilizing advanced semiconductor technology to create various functions of computer system. This book addresses the close link of microelectronics and artificial intelligence (AI). By combining VLSI technology, a very powerful computer architecture confinement is possible. To overcome problems at different design stages, researchers introduced artificial intelligent (AI) techniques in VLSI design automation. AI techniques, such as knowledge-based and expert systems, first try to define the problem and then choose the best solution from the domain of possible solutions. These days, several CAD technologies, such as Synopsys and Mentor Graphics, are specifically created to increase the automation of VLSI design. When a task is completed using the appropriate tool, each stage of the task design produces outcomes that are more productive than typical. However, combining all of these tools into a single package offer has drawbacks. We can't really use every outlook without sacrificing the efficiency and usefulness of our output. The researchers decided to include AI approaches into VLSI design automation in order to get around these obstacles. AI is one of the fastest growing tools in the world of technology and innovation that helps to make computers more reliable and easy to use. Artificial Intelligence in VLSI design has provided high-end and more feasible solutions to the difficulties faced by the VLSI industry. Physical design, RTL design, STA, etc. are some of the most in-demand courses to enter the VLSI industry. These courses help develop a better understanding of the many tools like Synopsis. With each new dawn, artificial intelligence in VLSI design is continually evolving, and new opportunities are being investigated. Circuit Theory & Design / VLSI / ULSI 91558 Artificial Intelligence 58441 Web Development Software (Non-Microsoft) 91559 Semiconductor Devices; III-V Compound Devices; Nano MOSFET; Nanowire; TFET; FinFET; Double Gate MOSFET; CNTFET; NanoTube FET; Gate All Around Devices; Short Channel Effects; VLSI Hardware Implementation; FPGA Design; VLSI Design Methodologies; VLSI Architecture Raj, Balwinder edt 91560 Tripathi, Suman Lata edt 91561 Chaudhary, Tarun edt 91562 Srinivasa Rao, K. edt 91563 Singh, Mandeep edt 91564 Printed edition: 9781394204359 https://doi.org/10.1002/9781394205158 Wiley Online Library https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394205158 Wiley Online Library Cover Image https://onlinelibrary.wiley.com/cms/asset/4d481704-a25f-4a78-a8e5-12c1f02966e3/9781394205158.cover.gif Wiley Online Library 66997 66997