When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Recent research has shown that using machine learning is an efficient approach to look for these molecules. Though machine ...

The training process shapes a function that can map as much of the input onto its corresponding (known) output as possible. After that, the trained model labels unfamiliar examples. Unsupervised ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...

Machine learning algorithms need data, so the researchers designed a polymerization process that would quickly and efficiently generate experimental data to feed into the mathematical model. The ...