Today’s highly complex and large system on chip (SoC) devices and systems present many challenges to be addressed from manufacturing tests to the field while meeting stringent requirements for test ...
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How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
System-level test (SLT), once used largely as a stopgap measure to catch issues missed by automated test equipment (ATE), has evolved into a necessary test insertion for high-performance processors, ...
New liquid-cooling enabled system delivers affordable, high-density SLT and burn-in test for high-demand, lower-volume HPC, AI, and automotive devices TOKYO, Sept. 18, 2025 (GLOBE NEWSWIRE) -- Leading ...
Funding led by Scale Venture Partners will accelerate native mobile testing and AI enhancements. Two-thirds of enterprise software companies test less than 50% of their workflows before releasing new ...
Operating at millimetRE-wave frequencies introduces a set of engineering challenges that extend far beyond traditional radio frequency testing ...
Ensuring the quality of silicon and organic interposers is becoming harder as the number of signals passing through them continues to grow, fueled by more chiplets, higher processing demands, and more ...
TOKYO, Sept. 18, 2025 (GLOBE NEWSWIRE) -- Leading semiconductor test equipment supplier Advantest Corporation (TSE: 6857) today announced its 7038 Single Test Rack (STR) system-level test (SLT) and ...
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