A new machine-learning model can identify the stage of disease in ductal carcinoma in situ, a type of preinvasive tumor that can sometimes progress to a deadly form of breast cancer. This could help ...

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

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...