QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Please note that during today's call, system sales and operating profit growth will exclude the impact of foreign currency.

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...

Abstract: The increasing penetration of renewable generation in power systems poses a significant challenge due to its strong uncertainty. Satisfying security under any realization of the uncertainty ...