We study a criterion based on a weighted asymptotic sample ratio (ASR) that yields model-robust test plans with relatively low ASRs under different models. We apply the criterion to accelerated life ...

Robust Intelligence, an AI startup that helps businesses stress test their AI models and prevent them from failing, today announced that it has raised a $30 million Series B funding round led by Tiger ...

Although efficiency robust tests are preferred for genetic association studies when the genetic model is unknown, their statistical properties have been studied for different study designs separately ...

Weak instrument robust inference is a critical area in econometrics that addresses the reliability of instrumental variable techniques when instruments exhibit only a feeble correlation with the ...

Verification is one of the biggest challenges for System-on-Chip (SoC) designs, and traditional methods have run out of steam. Writing individual tests is impractical for today’s large, complex ...

Today’s consumers have come to expect more functionality from their electronic devices, provided in a smaller form factor. This has fueled the demand for integrated devices like smart phones, ...