A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, addressing long data lags and oil-driven distortions in headline GDP. By ...

This finalizes our definition of adversarial location: the pitcher’s ability to locate pitches where a particular batter gets ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

A game-changining achievement in genome science has identified over 140,000 distinct DNA loops in our cells, providing chromosome fold resolution that is among the best ever created. In this ongoing ...