Once that was done, the team could move on to the process of image stacking, in which the 18 points were layered on top of each other to produce one single point of light.

Pixabay royalty free images. As AI proliferates and more and more industries try to beef up their data scientist teams, ... The trend towards Full-Stack Data Science is good in many ways.

A team from the University of Illinois has stacked together six high-powered algorithms to help researchers make more precise predictions from hyperspectral data to identify high-yielding crop traits.