AI is redefining semiconductor testing. This year’s Advantest VOICE 2025 Conference in Austin, TX showcased innovations that emphasize the critical role of artificial intelligence in addressing the challenges of modern semiconductor testing. Following are some of our highlights from the event, with a deep-dive into the future of AI-enhanced testing.
Streamlining Implementation Through Collaboration
A highlight of the event was the collaboration between PDF Solutions and Advantest. During the conference, we demonstrated how our AI for Test solutions in integration with Advantest’s V93000 tester platform optimize testing. Sing Hee Wong, Deputy Director at TSMC, presented our demo, offering expert insights into the practical benefits and applications of AI for Test.
Collaborations like these, between cutting edge hardware and software providers, not only simplify the deployment of AI-powered tools but also bridge the gap between wafer-level testing and final product validation.
Connecting AI Innovations to Industry Challenges
Advantest VOICE 2025 provided the perfect platform to explore how AI is addressing some of the most pressing challenges in semiconductor testing. The conference featured technical tracks on AI as well as topics like AI, 5G/millimeter wave, automotive, and more.
Why is AI for Test Crucial for Semiconductor Innovation?
What we saw and discussed with a variety of experts at VOICE 2025 was that the evolution of semiconductor devices has introduced significant challenges in testing. From 3D chip architectures to globally distributed supply chains, and advanced packaging, these complexities demand innovative solutions. AI emerges as a critical tool to tackle these hurdles, offering substantial benefits:
- Enhanced Test Efficiency: AI leverages predictive modeling to eliminate redundant tests and optimize test flows without compromising quality.
- Cost Reduction: Testing typically accounts for 5% to 10% of product costs. AI minimizes this expense by identifying unnecessary tests and streamlining workflows.
- Improved Quality Assurance: Machine learning enables smarter defect detection and quality control, outperforming conventional testing techniques.
- Bridging Design and Manufacturing: By ensuring alignment between design specifications and manufacturing realities, AI-driven test strengthens the critical connection between these stages.
How Does PDF Solutions Utilize AI for Test?
Our demonstration at the event highlighted the practical applications of PDF Solutions’ AI for Test. Using machine learning and predictive analytics, our solutions address critical challenges faced by semiconductor test engineers:
- Adaptive Test: Predicts which tests will pass, skipping redundant ones to shorten test flows (“Test Less”), while identifying high-risk units for additional testing (“Test More”).
- Predictive Burn-In: Eliminates unnecessary burn-in on units predicted to pass, cutting costs significantly.
- Predictive Binning: Enables early scrap decisions by predicting failures, especially for chiplets and expensive advanced packages.
These AI-driven techniques provide tangible benefits, including improved quality, reduced costs, and streamlined test processes.
How do We Respond to Industry-Specific Challenges?
AI implementation in semiconductor testing isn’t without its challenges. The sheer volume and complexity of test data, coupled with the need for scalable and adaptable models, can be daunting. To address these concerns, PDF Solutions offers a robust infrastructure that includes:
Real-Time Monitoring and Model Retraining: By detecting data drift and recalibrating models as processes evolve, we ensure ongoing precision and adaptability.
Bring Your Own Models (BYOM): Companies have the flexibility to either integrate their own machine learning models or utilize our pre-trained ones for seamless implementation.
Our goal is to create solutions that are as flexible as they are powerful, adapting to the unique needs of each manufacturer while maintaining rigorous quality standards.
Looking Ahead
The future of semiconductor testing lies at the intersection of AI innovation and advanced technologies. As demonstrated at Advantest VOICE 2025, the potential of AI for Test solutions is immense. However, achieving widespread adoption requires collaboration, robust infrastructure, and a commitment to ongoing research and development.
Are you ready to leverage the power of AI for Test and stay ahead in the industry?
Explore how PDF Solutions can help transform your semiconductor testing processes.