Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...
An MDP-Driven Learning Function Selection Strategy for Kriging-Based Structural Reliability Analysis
Abstract: Active learning Kriging is widely used in structural reliability analysis for its computational efficiency and accuracy. While numerous learning functions exist to accelerate Kriging ...
Reliability Won, a Battery Ventures-backed platform providing asset-reliability training and services, expands its offerings into oil analysis Reliability Won, a condition-monitoring and ...
AI usage in courts needs verifiable reliability— Unlike other fields, errors and hallucinations caused by AI in a court setting can create due-process issues. Skepticism is professional responsibility ...
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