proteanTecs Edge Applications Now Available on the Advantest ACS Solution Store

proteanTecs, a global leader of deep data analytics for electronics health and performance monitoring, announced the addition of proteanTecs Edge applications to the Advantest ACS Solution Store. Deployed in the tester, the apps enable mutual customers to discover real-time insights around key metrics, including per-die silicon grading, latent defects, power trade-offs, and 2.5D/3D interconnects. Newly launched, the ACS Solution Store is an online portal to discover, purchase and deploy Advantest-certified solutions from ecosystem partners.

The four new apps—proteanTecs Edge Per-Die Silicon Grading, proteanTecs Edge Personalized Defect Detection, proteanTecs Edge Power Reduction and proteanTecs Edge 2.5D/3D Interconnect Monitoring—provide a detailed assessment of each die, aggregate measurements into understandable metrics and offer insights at both the product and sub-product levels. Available on the ACS Solution Store, the applications will bring deep data analytics to the production test environment.

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“Semiconductor manufacturers cannot afford any delay in their data workflows and analytics; they need real-time insights to remain competitive and efficient,” said Michael Chang, vice president and general manager of ACS at Advantest. “Using our ACS platform as the backbone, proteanTecs developed a set of applications to drive and foster innovation around deep data analytics at the edge. Our partnership and collaboration will afford engineers powerful insights within their test program, which leads to better decision making.”

“Advantest has created a scalable infrastructure platform that advances and modernizes semiconductor testing,” said Uzi Baruch, chief strategy officer at proteanTecs. “Together, we are giving engineers adaptive testing capabilities, which are a data-driven and proven path to improving semiconductor yield, quality, overall equipment effectiveness and time to market.”

The proteanTecs Edge apps deploy personalized, machine-learning decision models in the tester via a container. Automated software distribution is enabled via the ACS Container Hub, which ensures an easy, secure and reliable deployment of the apps in the test fleets.

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