tag: data analytics

Lessons From 30 Years In The Trenches On The Future Of Semiconductor Manufacturing
By John Kibarian - 09 Sep, 2025 - Comments: 1

The semiconductor industry has always been a story of constant evolution, titans rising and falling, technologies advancing at breakneck speed, and billions of dollars riding on the difference between first and second place. And today, AI, geopolitics and the increased need for collaboration are reshaping the chip industry once again. After more than three decades navigating the complexities... » read more

Data Feed Forward And How It Works: Part 2
By Roberto Colecchia - 09 Sep, 2025 - Comments: 0

As chiplets and advanced packaging redefine semiconductor architecture, managing complexity isn’t just about the silicon—it’s about the data. Modern multi-die packages often contain components from different vendors, integrated in 2.5D or 3D configurations. Each die brings its own risks, and diagnosing issues after assembly is increasingly difficult—especially when data isn’t share... » read more

Secure Data Sharing To Promote Collaboration
By Christophe Begue - 12 Aug, 2025 - Comments: 0

As the semiconductor industry evolves toward a $1-trillion revenue milestone by 2030, fueled largely by AI applications, its challenges have magnified—a globalized supply chain, increasingly complex chip architectures and mounting cybersecurity demands. Assessing how data collaboration occurs within the ecosystem is essential, while secure data collaboration facilitated by cutting-edge pla... » read more

Data Feed Forward And How It Works: Part 1
By Roberto Colecchia - 12 Aug, 2025 - Comments: 0

With data analytics, manufacturers can gain unparalleled insights into their testing processes, identify patterns, predict failures, and optimize operations. From improving yield rates to reducing testing costs, data analytics not only enhance the quality of semiconductor devices but also drives innovation and competitiveness in the industry. Traditionally, data analytics has been performed ... » read more

Optimizing System Production with On-Chip Telemetry and ML-Driven Analytics
By proteanTecs - 12 Aug, 2025 - Comments: 0

Abstract As system companies integrate increasingly advanced chips onto their boards for high-performance markets such as AI, Cloud, Telecommunications, and Automotive, the complexity of system production continues to rise. Ensuring quality, performance, and lifetime reliability while minimizing test costs and production time has become a significant challenge.‍ A new solution addres... » read more

SLM: Actionable Silicon Insights Through Intelligent Measurement and Analysis
By Synopsys - 12 Aug, 2025 - Comments: 0

Developing semiconductors has always been a complex process, with advancements in electronic design automation (EDA) tools and fabrication technologies working to meet growing demands for larger designs, improved power efficiency, and better performance. As chip and system complexity increases alongside higher expectations for product reliability and longevity, traditional methods are reaching ... » read more

On-chip Monitor Analytics Scales With Silicon Chip Production From NPI Through HVM
By Guy Cortez - 10 Jul, 2025 - Comments: 0

By Guy Cortez and Dan Alexandrescu At the New Product Introduction (NPI) stage of silicon chip production, product engineers work with a limited but critical dataset – typically from initial silicon samples or engineering lots – enabling early assessment of the power and performance of your silicon. Analytics solutions typically have no time-to-results (TTR) issues when the volume of dat... » read more

Harnessing The Power Of Data To Remain Competitive
By Jonathan Holt - 10 Jul, 2025 - Comments: 0

The semiconductor industry operates at the forefront of technological innovation, even as manufacturers face constant pressure to improve production yields, manage intricate supply chains, reduce costs and accelerate time to market. Businesses have learned to harness the power of data to optimize decision-making and streamline operations to remain competitive by using PDF Solutions' Exensio ... » read more

The Data Dilemma In Semiconductor Testing And Why It Matters: Part 2
By Roberto Colecchia - 10 Jul, 2025 - Comments: 0

In Part 1, we explored the challenges of implementing machine learning and real-time analytics in semiconductor testing—chiefly, the difficulty of transferring device test data across multiple locations and organizations. In this post, we introduce Data Feed Forward (DFF) as it applies to ACS Advantest. What is ACS DFF? ACS DFF is a cloud-enabled solution designed to simplify, secure... » read more

Improving Fab Engineering Efficiency With Autonomous Data Analytics
By Peter Barar - 19 Jun, 2025 - Comments: 0

During my earlier career as a process integration engineer, one of my primary responsibilities was to find yield enhancement opportunities by investigating underlying relationships between bin failures and process parameters within the fab. While performing this analysis, there were many impediments to identifying relationships among different data types: sort maps, electrical test maps, parame... » read more

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