AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
IEEE

Infinite Gaussian Mixture Autoencoder for Adaptive Deep Unsupervised Clustering

Abstract: Clustering is a fundamental task in machine learning and data mining. The success of deep learning, especially deep generative models, has given birth to the next generation of clustering - ...
GitHub

graph-autoencoder

This project detects structural network anomalies using a GNN autoencoder. It contrasts this deep learning approach with the classic DBSCAN method. While DBSCAN only uses node features (CPU, RAM), the ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
IEEE

TDAE: Tensored Deep Autoencoder for Classification of Hyperspectral Images

Abstract: Deep learning has achieved outstanding success in the hyperspectral image (HSI) classification task. Almost all the current deep learning methods are used to conduct classification ...
GitHub

Deep Convolutional Autoencoder for Dimensionality Reduction of 3D CAD Models

CAD-DR is a deep learning-based system for dimensionality reduction of 3D CAD models using a 3D convolutional autoencoder. The system supports full STL to voxel transformation, encoding, ...
syncedreview

Open Sparse Autoencoders Everywhere: The Ambitious Vision of DeepMind’s Gemma Scope

Sparse autoencoders (SAEs) are an unsupervised learning technique designed to decompose a neural network’s latent representations into sparse, seemingly interpretable features. While these models have ...