As agent hype fades, machine learning quietly proves it’s still essential.

Machine learning identifies HLA structural features linked to graft failure, improving prediction and donor selection in ...

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

a.The architecture of the all-optical CNN for OAM-mediated machine learning, which can be applied to encode a data-specific image into OAM states. The photonic neural network comprises a trainable ...