This algorithm decodes rat squeaks and could revolutionize animal research. Rats are social and chatty critters, but most of their chatter is above the frequency that human ears can hear. If researchers could listen to what rats are “saying,” it could change countless experiments. DeepSqueak aims to change all that. Developed by researchers Russell Marx and Kevin Coffey at the University of Washington School of Medicine, the software uses sophisticated deep learning algorithms (hence the name “DeepSqueak”) to automatically pick rodent calls out of raw audio, compare them to calls with similar characteristics, and even look for patterns in the squeaks’ order. We recorded some ultrasonic rat squeak and visited Marx and Coffey to see if DeepSqueak could make sense of what we captured. Follow the link in our bio to watch the video.