AI-Enabled Electronic Circuit and System Design (eBook, PDF)

From Ideation to Utilization
Redaktion: Iranmanesh, Ali; Sayadi, Hossein

• Format: PDF

Produktbeschreibung

As our world becomes increasingly digital, electronics underpin nearly every industry. Understanding how AI enhances this foundational technology can unlock innovations, from smarter homes to more powerful gadgets, offering vast opportunities for businesses and consumers alike. This book demystifies how AI streamlines the creation of electronic systems, making them smarter and more efficient. With AI's transformative impact on various engineering fields, this resource provides an up-to-date exploration of these advancements, authored by experts actively engaged in this dynamic field. Stay ahead in the rapidly evolving landscape of AI in engineering with "AI-Enabled Electronic Circuit and System Design: From Ideation to Utilization," your essential guide to the future of electronic systems.

• A transformative guide describing how revolutionizes electronic design through AI integration. Highlighting trends, challenges and opportunities;
• Demystifies complex AI applications in electronic design for practical use;
• Leading insights, authored by top experts actively engaged in the field;
• Offers a current, relevant exploration of significant topics in AI's role in electronic circuit and system design.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 609
• Erscheinungstermin: 27. Januar 2025
• Englisch
• ISBN-13: 9783031714368
• Artikelnr.: 73148553

Autorenporträt

Dr. Ali A. Iranmanesh is the founder and CEO of Silicon Valley Polytechnic Institute. He has received his Bachelor of Science in Electrical Engineering from Sharif University of Technology (SUT), Tehran, Iran, and both his master's and Ph.D. degrees in Electrical Engineering and Physics from Stanford University in Stanford, CA. He additionally holds a master's degree in business administration (MBA) from San Jose State University in San Jose, CA. Dr. Iranmanesh is the founder and chairman of the International Society for Quality Electronic Design (ISQED). Currently, he serves as the CEO of Innovotek. Dr. Iranmanesh has been instrumental in advancing semiconductor technologies, innovative design methodologies, and engineering education. He holds nearly 100 US and international patents, reflecting his significant contributions to the field. Dr. Iranmanesh is the Senior life members of EEE, senior member of the American Society for Quality, co-founder and Chair Emeritus of the IEEE Education Society of Silicon Valley, Vice Chair Emeritus of the IEEE PV chapter, and recipient of IEEE Outstanding Educator Award. Dr. Hossein Sayadi is a Tenure-Track Assistant Professor in the Department of Computer Engineering and Computer Science at California State University, Long Beach (CSULB). He earned his Ph.D. in Electrical and Computer Engineering from George Mason University (GMU), where he was a two-time recipient of the Provost Doctoral Fellowship. Dr. Sayadi directs the Intelligent, Secure, and Energy Efficient Computer Systems (iSEC) Lab at CSULB. His research projects have been funded by multiple programs within National Science Foundation (NSF) and CSULB. Dr. Sayadi is the recipient of CSU STEM NET Faculty Fellow award and serves as the TPC Chair for ISQED conference. He has been a Guest Editor for MDPI journals and has participated in organizing and technical committees for various international conferences including DAC, ISQED, IOLTS, SAC, and GLSVLSI.

Inhaltsangabe

Primer on AI in Electronic Circuit and System Design.- AI in Semiconductor Design and Production.- AI-assisted lithography, device modeling, and transistor level circuit design.- Harnessing AI for ASIC Design.- AI Application in Analog and RFIC Design.- The Role of AI in Place and Route.- Timing Analysis through AI.- AI's Contribution to Clock Tree Synthesis.- Securing Hardware with AI.- AI in 3D Integration.- Co-Development of Hardware-Software via AI.- AI in FPGA Design.- AI in PCB Level Design.- AI in Adaptive and Resilient Digital Circuits and Systems.- Cognitive-Inspired Computing Systems via AI.- Safe and Secure Machine Learning with AI.- Hardware Accelerators for AI.- Cognitive-Inspired Computing with Big Data using AI.