The algorithm successfully localized the structures, and the degree of precision, less than 1 nanometer, turned out to be much higher than standard image correlation methods, about 10 nanometers.

Also, the more memory a data structure uses, the less CPU time associated algorithms will need to process the data items–leading to faster algorithm results. As much as possible, you should ...

Three years ago, Bouman led the creation of an algorithm that eventually helped capture this first-of-its-kind image: a supermassive black hole and its shadow at the center of a galaxy known as M87.

More broadly, the algorithm offers a nice lesson in the power of cross-pollination between technology and academia -- a link that Google, of course, has embodied from the start. Image: The Journal ...