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001			10.1002/9781394205158
003			Wiley
005			20251030120308.0
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008			240731t2024||||xxu fs| |0|| 0|eng||
020			_a9781394205158 _qelectronic
024	7		_a10.1002/9781394205158 _2doi
041			_aeng
245	0	0	_aIntegrated Devices for Artificial Intelligence and VLSI _h[electronic resource] _cEdited by Balwinder Raj, Suman Lata Tripathi, Tarun Chaudhary, K. Srinivasa Rao, Mandeep Singh.
250			_a1
260			_bWiley _c2024
264		1	_bWiley _c2024
300			_a384pp.;
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _2rdaft
347			_bPDF
520			_aWith 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.
650		4	_aCircuit Theory & Design / VLSI / ULSI _991558
650		4	_aArtificial Intelligence _958441
650		4	_aWeb Development Software (Non-Microsoft) _991559
653	0	0	_aSemiconductor 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
700	1		_aRaj, Balwinder _4edt _991560
700	1		_aTripathi, Suman Lata _4edt _991561
700	1		_aChaudhary, Tarun _4edt _991562
700	1		_aSrinivasa Rao, K. _4edt _991563
700	1		_aSingh, Mandeep _4edt _991564
776	0	8	_iPrinted edition: _z9781394204359
856	4	0	_uhttps://doi.org/10.1002/9781394205158 _aWiley Online Library
856	4	0	_uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394205158 _aWiley Online Library
856	4	2	_3Cover Image _uhttps://onlinelibrary.wiley.com/cms/asset/4d481704-a25f-4a78-a8e5-12c1f02966e3/9781394205158.cover.gif _aWiley Online Library
999			_c66997 _d66997