Astrophysicists have developed an AI to help scientists automatically detect and describe galaxies observed by telescopes surveying the distant sky.

The program, known as Morpheus, was built over a two-year period by a computer scientist and an astrophysicist at the University of California, Santa Cruz.

Morpheus employs a range of computer vision algorithms, including a neural network, that segments objects in the image from the empty background of space, and analyses each detected galaxy pixel-by-pixel to classify its type, whether it’s disk, spheroidal, or irregular shaped. The goal is to trawl through petabytes of images, picking out faraway systems, far faster than humans can.

Lex Fridman interviews Gilbert Strang on Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare.

Gilbert Strang is a professor of mathematics at MIT and perhaps one of the most famous and impactful teachers of math in the world. His MIT OpenCourseWare lectures on linear algebra have been viewed millions of times. This conversation is part of the Artificial Intelligence podcast.