If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that ...

Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

For measuring multiple component contents during a fermentation process by near-infrared (NIR) spectroscopy, a novel spectral calibration method is proposed to improve the real-time measurement ...

This paper investigates the use of probabilistic neural networks (PNNs) to model aleatoric uncertainty, which refers to the inherent variability in the input-output relationships of a system, often ...