In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...
Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
Abstract: This article proposes a distance measurement error suppression algorithm based on convolutional neural network (CNN)-Transformer-Bidirectional long short ...
This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...
Abstract: Aiming at the problem that traditional personalized learning path planning methods rely on expert experience and are difficult to accurately capture the deep relationship between learners' ...
The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...
Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...
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