STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Newly Expanded to Include Films Longer Than 10 Minutes, the Computer Animation Festival Honors Three Winning Films From South Africa, the United States, and France The Computer Animation Festival, ...

Researchers at The University of Texas MD Anderson Cancer Center have developed a spatial map of muscle-invasive bladder cancer, revealing how tumor cell states, immune environments and therapeutic ...

Whole-transcriptome profiling across a large tissue capture area can generate 2x more unique genes per sample than probe-based technologies SAN DIEGO, June 8, 2026 /PRNewswire/ -- Illumina, Inc.

A new computational method could dramatically accelerate efforts to map the body's cells in space, according to a study published in Nature Genetics. Spatial multi-omics technologies—often described ...

scpc-python provides spatial correlation-robust inference for regression coefficients following Müller & Watson 2022 and Müller & Watson 2023, implemented in Python based on their original Stata ...

Abstract: Hyperspectral unmixing (HU) is dedicated to disassemble mixed pixels into a group of pure spectral signatures (endmembers) and their respective fractional abundances. By utilizing available ...

The robots are coming—and they’ll need a good map to get around, whether they’re delivering our packages, driving us around, or doing any of the myriad of other tasks robotic helpers may perform for ...

Google today added Gemini AI to Google Maps, enabling a new Ask Maps feature. Gemini in maps can answer complex, real-world questions that Google says "a map could never answer before." There is a new ...

Abstract: Convolutional neural networks (CNNs) and graph neural networks (GNNs) are two widely used architectures in hyperspectral image (HSI) classification. Most CNN models tend to heavily rely on ...

Pancreatic ductal adenocarcinoma (PDAC), an aggressive cancer with poor prognosis, poses major challenges owing to late diagnosis and limited response to current therapies. However, the identification ...