Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...

Part 1 of this blog explored the problems facing designers working on Systems-on-a-Chip (SoCs) targeting energy-efficient design, and how Synopsys’ PrimeShield design robustness solution can help ...

Abstract Model robustness indicates a model's capability to generalize well on unforeseen distributional shifts, including data corruptions and ...

Test scenarios for robustness verification always contain many input stability issues, such as erroneous values, lack or loss of value, unexpected timing and unpredicted toggling. Certainly, there is ...

"Robust" is an adjective appreciatively applied to certain vintage wines, but when describing viruses and pathogens, robustness is a property that may be much less desirable. It evokes drug resistant ...

Interphex2007, New York, NY (Apr. 26)-Robustness studies for analytical methods are critical in being able to provide the assurance to the quality of an analytical method, a topic addressed in a ...

Quality control starts with an inspection of the finished product, but this method does not affect quality. For continuous quality improvements, you have to combine the inspection with methods that ...