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 ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to optimize a protein function, researchers modify proteins by switching out one 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, ...