Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

This chapter presents the basics of neural network (NN) models from the perspective of surrogate models. This includes the effect of the number of samples, the effect of model forms, challenges in the ...

A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...

Vivek Natarajan is using AI to help doctors and scientists chase new cures, inspired by his father's battle with Parkinson's ...