Quantum-simulated mesh network classifies five dental occlusion attributes
A geometry-aware mesh network achieved 80.46% accuracy across five dental occlusion classifications in a 200-scan proof-of-concept study using simulated quantum ...
A geometry-aware mesh network achieved 80.46% accuracy across five dental occlusion classifications in a 200-scan proof-of-concept study using simulated quantum ...
Researchers at the Universidad de Salamanca have developed a Lie-algebraic framework that separates task-relevant signal from gradient geometry in variational ...
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© 2025 Scienmag - Science Magazine