Sure. But it’s going to take much more pronounced advancements in that other side of A.I., machine learning, for the context problem to be solved. If you really want to make a bunch of money ...

A deep-learning model called Geneformer has been developed and pretrained using about 30 million single-cell gene-expression profiles to enable it to make predictions ... more of a machine ...

"Density-functional theory is very bad at describing processes ... kind of systems for which we thought we could make the most out of machine learning," explains Linscott. "Liquid water is ...

Crucially, what human researchers had discounted as low-­amplitude noise turned out to be the signal that allowed machine learning to make its predictions. In the field, Johnson’s team ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm ... and is therefore more likely to make correct predictions than the standard algorithms ...

First trained on historical records of excessive rainfall, the model is now smart enough to make accurate ... a sophisticated machine learning model for advancing skillful prediction of hazardous ...

Machine learning (or ML) is a broad category of artificial intelligence that refers to the process by which software programs are “taught” how to make predictions ... a good or bad impact ...

Machine learning prediction models are better at forecasting tropical cyclone paths, but the 25-kilometer resolution of Pangu means it can miss smaller-scale variability within a developing storm.