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 ...
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Introducing a single human-made data point can prevent AI models from cannibalizing themselves
Researchers have found that introducing human-made data into AI training can help to prevent AI model collapse.
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