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Machine-learning models trained to classify human actions using synthetic data can outperform models trained using real data in certain situations. This could help scientists identify when it’s better to use synthetic data for training, which could eliminate bias, privacy, security, and copyright issues that often impact real datasets.

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Germany ,Hilde Kuehne ,Souyoung Jin ,Samarth Mishra ,Rogerio Feris ,Aude Oliva ,Venkatesh Saligrama ,Yo Whan John Kim ,Kate Saenko ,Leonid Karlinsky ,Artificial Intelligence Laboratory ,Defense Advanced Research Projects Agency Lw ,Boston University ,Department Of Computer Science ,Watson Ai Lab ,Schwarzman College Of Computing ,Goethe University ,Department Of Electrical ,Computer Science ,Neural Information Processing ,Synthetic Action Pre Training ,Rameswar Panda ,Computer Engineering ,Defense Advanced Research Projects Agency ,O Whan Kim ,

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