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

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

When we ran a comparison between the two, using the Latin hypercube model to randomly generate 2,500 scenarios across the whole of the problem space returned a confidence rating of 56 per cent. The ...

The more data the machine is exposed to, the better it becomes at performing the task, which is why machine learning is often used for complex problems such as image recognition, natural language ...