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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.
Artemis 2 works toward April launchThe revised campaign comes as engineers work through immediate issues on Artemis II, the first crewed flight of the program. After a successful "wet dress rehearsal" — a full countdown test that loads the rocket with super‑cold fuel — teams discovered that helium was not flowing correctly to the engines in the rocket's upper stage.