A novel algorithmic system that works subtly in the background to mutual benefit, and adapts quickly to local conditions, ...

One approach is to make trade-offs, cutting the number of parameters but training models with more data.

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

The algorithm addresses something called the library sorting problem (more formally, the “list labeling” problem). The challenge is to devise a strategy for organizing books in some kind of sorted ...

We report a data-driven ML algorithm that predicts M-spike protein values and recognizes changes in clinical and laboratory data that promote profound changes in the disease, even in patients with low ...

Whether that’s adjusting tactics pre-match, predicting outcomes or preventing injury, data science is changing the game. The ...

A new artificial intelligence-based approach can predict if and when a patient could die of cardiac arrest. The technology, built on raw images of patient's diseased hearts and patient backgrounds, ...