MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

A newly developed performance evaluation system can assess energy storage power plants (ESPPs) in terms of investment ...

Scientists often seek new materials derived from polymers. Rather than starting a polymer search from scratch, they save time ...

This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for ...

Cloud-fog architecture, as a hybrid distributed architecture, combines the powerful computing capabilities of cloud computing with the low-latency of fog computing, providing more efficient data ...

The uncertainty in maritime transportation dramatically impacts liner shipping efficiency; to improve operational stability, timely recovery of vessel schedule in liner shipping service is essential ...