Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...
PLYMOUTH MEETING, PA - March 12, 2026 - PRESSADVANTAGE - Magic Memories operates early learning schools that emphasize ...
Figure 1. Comparison of attention maps and the proposed VL similarity map for visualizing VL alignment. (a) While traditional attention maps inevitably exhibit high values at certain points due to ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...
Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot topic in ...
Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...
In marine ecology research, it is crucial to accurately identify the marine mammal species active in the target area during the current season, which helps researchers understand the behavioral ...
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