PLOS. "Scientists use machine learning to predict diversity of tree species in forests." ScienceDaily. ScienceDaily, 16 July 2024. <www.sciencedaily.com / releases / 2024 / 07 / 240716151249.htm>.

Researchers employed tree-based machine learning (ML) algorithms, including LightGBM, to predict the formation energy of impurities in 2D materials by integrating chemical and structural features ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.