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 ...

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 ...

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

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 ...

The Internet Robustness project is developing, testing, and piloting a system called Amber to safeguard the promise of the URL, or "Uniform Resource Locator": that information placed online can remain ...