Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
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, ...
Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Abstract: Money laundering is a critical issue for financial institutions especially in developing countries and detecting such suspicious activities is a challenging task. The rule-based money ...
Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
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