Название: AI-Enabled Electronic Circuit and System Design: From Ideation to Utilization Автор: Ali Iranmanesh, Hossein Sayadi Издательство: Springer Год: 2025 Страниц: 612 Язык: английский Формат: pdf (true) Размер: 47.3 MB
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.
Electronic Design Automation (EDA) has been immensely successful in managing the exponential growth in IC capabilities from the past 60 years, which now involve billions of transistors. EDA has completely transformed the way electronic engineers approach the design and manufacture of integrated circuits. However, accurately modeling circuit behavior and assessing the performance of advanced designs has become progressively challenging for EDA tools as transistor sizes approach atomic levels. Skilled designers at various levels of abstraction lend their expertise to explore the design landscape, create efficient schematic designs, produce layouts that satisfy multiple PPA constraints, enhance performance, integrate appropriate testing measures, conduct reliability analysis, and incorporate essential feedback mechanisms to ensure precise chip functionality aligned with application specifications. Despite these endeavors, many processes are iterative, labor-intensive, time-consuming, and heavily reliant on manual intervention and do not guarantee a fully optimized solution within market timelines. Furthermore, locating human expertise to address specific problems has become increasingly difficult, directly impacting chip yield. The emergence of technologies like edge computing is ushering in new challenges for EDA. AI (Artificial Intelligence) assistance offers a reliable solution to address these hurdles.
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.
1. AI-Assisted Circuit Design and Modeling 2. Linking System and Circuit Design by AI Techniques 3. AI-Enabled Efficient Memory Design for Data-Intensive Applications 4. AI-Enabled Static Timing Analysis at Early Stages of the Digital Design Flow 5. Harnessing Graph Learning for Efficient Timing Signoff 6. AI-Enabled Placement for 2D and 3D ICs 7. Enhancing FPGA CAD Flow with AI-Powered Solutions 8. AI-Enabled 3D Integration 9. AI-Enabled Hardware Security 10. On AI-Enabled Cybersecurity: Zero-Day Malware Detection 11. Machine Learning Applications and Attacks Using Side Channel Analysis 12. Adapt and Defend: Reinforcement Learning for Hardware-Assisted Security 13. Machine Learning-Enhanced Analysis and Design for Trustworthy Integrated Circuits 14. Hardware Accelerators for Artificial Intelligence 15. Implementation of Associative Learning Using Cognitive-Inspired Robotic System 16. Enabling Memory-Augmented Neural Networks for Efficient Edge Applications
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