Semiconductors - , N/A, US
Qualicent Analytics, based in Silicon Valley, is a leader is applying machine learning (supervised and unsupervised) methods for breakthrough reduction in downstream failure rates and field failure rates in automotive, medical devices, aerospace, defense and other verticals where cost of failure is high (death, injury, national security)\\We are a recipient of National Science Foundation Award #1621880 - SBIR Phase I: Software with Breakthrough Composite Distance Method for Zero Defects in Advanced Manufacturing\\We won against three large analytics majors at an on-site head-to-head competition at a large PC Board manufacturer. Our flagship ZeroDefectMiner Software is now in production and continues to demonstrate success of our powerful algorithms in semiconductor and electronic manufacturers in solving various problems including:\\1. accurate identification of actual field failures from semiconductor and electronic manufacturing data\2. accurately tracing wafer defectivity from semiconductor equipment anomalies from tool sensor data\3. accurately predicting electrical yield fallout from front-end electronic manufacturing process variables\ \Contact us for a free demo. Visit www.qualicent.net for more information.\\Keywords: Zero defects, anomaly detection, model discovery, yield enhancement, DPPM reduction, automotive safe launch, NPI, process variation, productivity.
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