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hock chen

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圖書介紹 - 資料來源:TAAZE 讀冊生活   評分:
圖書名稱:Empowering DTCO Innovation with AI and Machine Learning(第1版)

Core Insight:
Cross-Domain Data Collaboration: Unlocking Chip Potential
Eliminating the "efficiency gap" caused by knowledge silos is the starting point for industry potential. Data doesn't lie; Data Science provides the solution: Through innovation and cross-domain restructuring, we visualize results to become the critical accelerator for boosting efficiency.

GenAI Reshaping the Future of Semiconductors
Facing the immense challenge of the slowing pace of Moore's Law, the semiconductor industry urgently requires new breakthroughs. This book is specifically designed to solve the "Efficiency Black Hole" that consumes tens of billions of dollars annually in the industry.
The Empowering DTCO Innovation with AI and Machine Learning offers readers a practical DTCO.ML Framework, demonstrating how to leverage Machine Learning (ML) and Generative AI (GenAI) technologies to inject new acceleration into chip manufacturing processes. Learn to master process variability and optimize chip energy efficiency, eliminating the time-consuming and costly physical tape-out trial-and-error cycle.
You Will Master: How to use data to transform Yield improvement from relying on lengthy trial-and-error into a predictable, controllable process with Accelerated ROI; achieving significant Energy Efficiency (EE) leaps in every product iteration; and gaining a Time-to-Market (TTM) competitive advantage of several months for your team.
Whether you are a chip design engineer, process R&D expert, or a manager seeking industry "re-acceleration" strategies, this book provides a validated AI-enabled strategy and execution blueprint. The future of DTCO starts here.

作者簡介:

Hock Chen, Ph.D. is the CEO of DigWise Technology and a pioneer in applying Machine Learning and GenAI to semiconductor process optimization. Dr. Chen previously served as CEO of DipSci Technology, where he focused on utilizing ML for chip process monitoring and production efficiency enhancement. His current research focuses on the Design-Technology Co-Optimization (DTCO) of chips, low-power design, and process optimization through GenAI. He holds a Ph.D. in Computer Science from National Tsing Hua University (Hsinchu, Taiwan, 2012).

作者序
Preface
In the era of AI-driven innovation, the semiconductor industry is shifting from traditional yield optimization to comprehensive productivity enhancement. To stay competitive, chip design now focuses on enhancing performance, production capacity, and market competitiveness, beyond just yield and cost. This book explores how AI can optimize design margins, timing signoff, testing strategies, data analysis, process adjustments, binning strategies, and system-level compensation, driving a re...
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目錄
Table of Contents

Foreword
AI-Driven Semiconductor Chip Design Efficiency and Productivity Revolution

Part I: Design Technology Co-Optimization, DTCO
Chapter 1 Overview and Evolution of DTCO
1.1 Principles of Design for Productivity
1.2 Design Methodology for Ultimate Efficiency
1.3 Future Directions of DTCO

Chapter 2 Key Challenges and Strategies in Driving DTCO
2.1 Key Challenges in Implementing DTCO
2.2 Demand for Innovative Design Methods
2.3 Productivity Optimization Platform D...
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