These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...

Researchers have developed an AI-driven framework that improves genomic surveillance by identifying emerging virus variants ...

DAAAM enhances autonomous systems' spatiotemporal capabilities by integrating real-time 4D scene graphs with rich language ...

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 ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...

Public input identifying over 100 million trail cameras photos of Wisconsin’s animals has transformed science education and ...

A robot on a factory floor can carry parts, scan shelves, and move around people with growing skill. What it still struggles ...

Upscaling is actually making your handheld feel worse.

Abstract: Graph convolutional networks (GCNs) have achieved remarkable performance on skeleton-based action recognition. Existing GCN-based methods usually apply the fixed graph topology and one fixed ...

Objective Social fragmentation is commonly examined in epidemiological studies of mental illness as high levels of social fragmentation are often found in areas with high prevalence of mental illness.