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 ...

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.

In nature, there exist structures that are mirror images of each other but cannot be perfectly superimposed. These are known as chiral objects, derived from the Greek word for "hand," since left and ...

Burmese pythons are an invasive species in Florida, primarily established in the Everglades and South Florida. These snakes have drastically reduced native mammal populations, including raccoons, ...

The odor receptors in the nose are not distributed at random but organized in a precise spatial pattern, two new studies reveal. By Emily Anthes Over the last century, scientists have mapped several ...

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 ...

SHANGHAI--(BUSINESS WIRE)--Robbyant, the embodied AI company within Ant Group, today announced the open-sourcing of LingBot-Map, a new streaming 3D reconstruction model. This innovative technology ...

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 ...

Exclusive: Niantic's AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players. Pokémon Go was the world’s first augmented-reality megahit. Released ...

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 ...