UN creates new scientific AI advisory panel: what will it do?

· · 来源:data资讯

confusable-vision takes the 1,418 TR39 confusable pairs that map a non-Latin character to a Latin target (a-z, 0-9), renders both characters across every available system font, and computes SSIM for each pairing. The output is a scored JSON artifact: one continuous similarity score per pair, per font.

stack. But what about all those intermediate slices that just become

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统筹建立常态化防止返贫致贫机制

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