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 ├── ...

A research team from the Skoltech AI Center proposed a new neural network architecture for generating structured curved ...

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.

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 ...

The Neural Networks implemented here are CNNs (Convolutional Neural Networks) that classify given data to multiple categories. The learning method is supervised, because during training, labeled data ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

The University of Alabama at Birmingham Spinal Cord Injury Model System (UAB-SCIMS) maintains this Information Network as a resource to promote knowledge in the areas of research, health and quality ...

Deep Learning,Internet Of Things,Deep Learning Models,Learning Algorithms,Long Short-term Memory,AlexNet,Ambient Light,Annotation Data,Anomalous Patterns,Anomaly ...