Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

Any biology student can pick a neuron out of a photograph. Training a computer to do the same thing is much harder. Jan Funke, a computational biologist at the Howard Hughes Medical Institute’s ...