Askary, Ph.D., professor of computational and data science at Chapman University, concludes that the saddle dam of the Grand ...
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 ...
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 ...