AI-Enabled Electronic Circuit and System Design: From Ideation to Utilization
AI-Enabled Electronic Circuit and System Design: From Ideation to Utilization | Ali Iranmanesh, Hossein Sayadi
English | 2025 | True PDF | 612 pages | 13.2 MB
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.
Contents:
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
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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