Researchers have found that introducing human-made data into AI training can help to prevent AI model collapse.

Missing data is a persistent problem in biomedical research. Data-imputation techniques have evolved from single-modality approaches to multimodal strategies, which impute one modality on the basis of ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...