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 ...

ann ├── ai.py # Neural network class implementation ├── app.py # Flask application ├── save_model.py # Script to save model weights with CLI arguments ├── requirements.txt # Python dependencies ├── ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

Studies in neuroscience with applications to humans offer clues about what makes us start eating, and when we stop.

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs ... dataset of neuroimaging studies, is a Python-based deep learning (DL) framework ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...