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Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
IEEE14d
Robust Network Intrusion Detection System Based on Machine-Learning With Early Classification - IEEE Xplore
Network Intrusion Detection Systems (NIDSs) using pattern matching have a fatal weakness in that they cannot detect new attacks because they only learn existing patterns and use them to detect those ...
IEEE22d
On quantum methods for machine learning problems part II: Quantum classification algorithms - IEEE Xplore
This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presented some of the fundamentals and introduced several quantum tools ...
Phys.org27d
Quantum machine learning: Small-scale photonic quantum processor can already outperform classical counterparts
More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...