One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

2504.13820v1 link 2025-04-18 The Binary ... linear density response from X-ray Thomson scattering measurements: a case study of warm dense beryllium Sebastian Schwalbe et.al. 2504.13611v1 null 2025-04 ...

Future prosocial acts can be forecasted from stable biological differences in how people perceive others' merit, pointing to novel strategies to reduce favoritism and discrimination in social ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Moreover, we show that a low data rate is sufficient to guarantee linear convergence when the algorithm parameters are properly chosen. The theoretical results are illustrated by numerical examples.

The system features integration with a machine-learning classification algorithm for skin cancer screening. The system showed an accuracy of 89.7 in distinguishing between malignant and benign lesions ...

The system’s elevator perception algorithm instantly detects signal drops and optimises connectivity. The Game-Exclusive WiFi Antenna ensures an uninterrupted connection—even when both hands grip the ...

This challenge has motivated many graph classification algorithms in recent years ... and use the papers published in these conferences (in chronological order) to form a binary-class graph stream.