Dec. 8, 2023, 2 p.m. | Charles Q. Choi

IEEE Spectrum

AI systems may perform better at identifying pictures when they are trained on AI-generated art that has been tailored to “teach” concepts behind the images, a new study finds.

Artificial intelligence systems, such as those used to recognize faces, are usually trained on data collected from the real world. In the 1990s, researchers manually captured photographs to build image collections, while in the 2000s, they started trawling the Internet for data.

However, raw data often includes significant gaps and …

ai systems art artificial artificial intelligence computer vision concepts data generated generative-ai image recognition images intelligence learn mit neurips researchers study synthetic systems world

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