Walmart said it was improving its systems to "ensure fairness and transparency" and had already started making payments to people who had been affected.
GlyphNet’s own results support this: their best CNN (VGG16 fine-tuned on rendered glyphs) achieved 63-67% accuracy on domain-level binary classification. Learned features do not dramatically outperform structural similarity for glyph comparison, and they introduce model versioning concerns and training corpus dependencies. For a dataset intended to feed into security policy, determinism and auditability matter more than marginal accuracy gains.
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She said: "I think we have some very good [treatment] options, and we can usually find something that will suit everyone in amongst all of those options."