Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...
Morning Overview on MSN
New AI finds missed Alzheimer’s cases and narrows racial gaps
Artificial intelligence is starting to do something human clinicians have struggled with for decades: quietly flag patients with Alzheimer’s disease who have slipped through the cracks, and do it in a ...
Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...
Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, and leveraging historical datasets provided by Ecogy Energy—have devised a ...
Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...
Abstract: With the rise of e-commerce, personalized recommendation algorithms have received much attention in recent years. Meanwhile, multimodal recommendation algorithms have become the next ...
Abstract: Self-supervised learning (SSL) is a data-driven learning approach that utilizes the innate structure of the data to guide the learning process. In contrast to supervised learning, which ...
The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...
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