The graph shows the daily melt extent in red for Antarctic Ice ... Net accumulation of snow, part of the ice sheet’s surface mass balance, was far above average for the year, helping reduce the ice ...

The use of artificial intelligence (AI) scares many people as neural networks, modeled after the human brain, are so complex ...

From the super-sprint distance triathlon to the full Ironman, we review the different distances and outline how much time you will need to spend training to get race ready. When you’re ready, you can ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

Meanwhile, the field of graph machine learning is witnessing a paradigm transition from shallow methods to more sophisticated deep learning approaches. The capabilities of foundation models in ...

For example, some ST methods rely on arbitrarily defined distance parameters ... Spatial Transcriptomics Analysis via Image-Aided Graph Contrastive Learning (STAIG). The study was co-authored ...

The detection of peptides has been facilitated by the rapid development of biological mass spectrometry and now the combination ... protein will be discarded from the dataset. The protein graph may be ...

In this section, we discuss different approaches to representing a molecule in a machine learning-friendly way (Figure 2): string and graph representations ... we compute a 1D Wasserstein-1 distance ...