The differences between neural network binary classification and multinomial classification are surprisingly tricky. McCaffrey looks at two approaches to implement neural network binary classification ...

Note that when there are three or more possible values to predict (for example, predict political leaning), the problem is called multi-class classification, which typically uses different algorithms ...

Hydrogen-soaked crystal lets neural networks expand to match a problem Programmable control of hydrogen atoms allows switching between useful states.

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike seeing an image of a star in a telescope, saying anything at all about the ...