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The second "discriminator" network is then trained to distinguish between the real satellite imagery and the one synthesized by the first network.

The ruling was based on a conclusion that labeling states as discriminators by relying on information half a century old was not supported.

The other network, known as a discriminator, trained on real images and then graded the generated output by comparing it with data on actual faces.

“I think age is a very good discriminator in terms of risk … It makes for an easy way to administer vaccines without a large process of prioritizing patients.”

“At some point or another, it’s not much of a discriminator anymore if you define a co-morbidity as something that almost everybody has,” Kass said.