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

Yes, most of us continued to blindly train every possible machine learning model for years after that. It was because only cloud-computing hyperscalers and venture-funded AI companies had access ...

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 ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

K-Fold Cross Validation: This is a technique for evaluating the performance of a machine learning model by dividing the data set into multiple folds. This process is repeated K times, with each ...