A new survey of 161 studies maps how out-of-distribution data undermines AI-based mechanical fault diagnosis and argues that generalization, calibrated ...
Hybrid classical-quantum neural networks have rapidly become one of the most actively pursued directions in quantum machine learning, promising classification ...
Machine learning models are famously confident, sometimes catastrophically so. Ask a survival model to estimate a cancer patient's five-year prognosis ...
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