Visual content depicting climate activists emphasizes emotion and disruption, contrasting with the rational, data-driven ...

The second system, called MAGNET-AD, employs a graph neural network to detect Alzheimer’s disease before symptoms appear. It predicts both a patient’s cognitive performance score (PACC) and the time ...

With the onset of decentralized finance, the wave of blockchain innovations has also gotten a spark, as many projects are ...

Only 7.2% of domains appear in both Google AI Overviews and LLM results. Here’s what that gap means for your SEO strategy.

Companies that require more advanced AI features can use Foundry with AIP, the second Palantir product for which Snowflake has rolled out an integration. AIP can be used to automate business tasks ...

Abstract: Multivariate Time Series Classification (MTSC) has important research significance and practical value. Deep learning models have achieved considerable success in addressing MTSC problems.

Aerosol effects on climate, weather, and air quality depend on characteristics of individual particles, which are tremendously diverse and change in time. Particle-resolved models are the only models ...

Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...

MAGNET is implemented in Python 3.10 and is supported on both Linux and Windows. It should work on any operating system that supports Python. The implementation has been tested on both GPU and CPU ...

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...