IEEE

Learning Multiband-Temporal-Spatial EEG Representations of Emotions Using Lightweight Temporal Convolution and 3D Convolutional Neural Network

Abstract: Emotion recognition based on electroencephalography (EEG) has become an important topic in affective computing. However, current research does not utilize the relationship between channel ...
GitHub

City2Graph: GeoAI with Graph Neural Networks (GNNs) and Spatial Network Analysis

This installs the core functionality without PyTorch and PyTorch Geometric. To use PyTorch and PyTorch Geometric with City2Graph installed from conda-forge, you need to manually add these libraries to ...
GitHub

SpaHDmap: deep fusion of spatial transcriptomics and histology images for interpretable high-definition embedding mapping

SpaHDmap is based on a multi-modal neural network that takes advantage of the high-dimensionality of transcriptomics data and the high-definition of image data to achieve interpretable high-definition ...
IEEE

An Equivariant Machine Learning Decoder for 3D Toric Codes

Abstract: Research on mitigating errors in computing and communication systems has grown with their widespread use. In quantum computing, error correction is crucial ...
Le Lézard

Tripo Powers the Next Generation of 3D AI with Spatial Intelligence (PR 3)

With AI-driven workflows, Tripo empowers the next generation of 3D creators to turn concepts into fully realized 3D models. HONG KONG, HK / ACCESS Newswire / January 4, 2026 / Tripo is revolutionizing ...