Large genome model: Open source AI trained on trillions of bases

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...
GitHub

Neural FCA for Blind Source Separation

This repository provides inference scripts for Neural FCA proposed in our paper: Neural Full-rank Spatial Covariance Analysis for Blind Source Separation. This repository is released under the MIT ...
IEEE

Automatic Design of Deep Graph Neural Networks With Decoupled Mode

Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
IEEE

Quantum-Assisted Hierarchical Fuzzy Neural Network for Image Classification

Abstract: Deep learning is a powerful technique for data-driven learning in the era of Big Data. However, most deep learning models are deterministic models that ignore the uncertainty of data. Fuzzy ...