Rydberg Blockade Enables Exponentially Scalable Quantum Kernel Method Without Concentration
Quantum kernel methods offer a promising route to unlocking the potential of near-term quantum computers, but a significant challenge has...
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Adaptive Adjustment Graph Representation Learning Method for Rotating Machinery Fault Diagnosis Under Noisy Signals
Newswise — In recent years, intelligent fault diagnosis methods have been applied to the condition monitoring of rotating machinery. Among...
Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method
Zadeh, L. A. Fuzzy sets. Inf. Control 8(3), 338–353. (1965). Google Scholar Atanassov, K. T. Intuitionistic fuzzy sets. Fuzzy Sets...
Machine learning method improves accuracy of inverse protein folding for drug design
Mask-prior-guided denoising diffusion (MapDiff) for inverse protein folding. Credit: Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01042-6 An AI approach developed by...
A bearing fault diagnosis method for hydrodynamic transmissions integrating few-shot learning and transfer learning
Testing and analysis of few-shot fault diagnosis models under cold-start conditionsFollowing the experimental protocol, the target-domain test data are partitioned...
Perception of undergraduate medical students regarding “Reel-Making” as an innovative learning method in ophthalmology: a cross-sectional study | BMC Medical Education
Study settingThis study was conducted in a private medical college in South India among undergraduate students in their third professional...
