Machine vision has learned to use radio waves to see through walls and in darkness - MIT Technology Review

Tianhong Li and colleagues at MIT, who have found a way to teach a radio vision system to recognize people's actions by training it with visible-light images. The new radio vision system can see what individuals are up to in a wide range of situations where visible-light imaging fails. "We introduce a neural network model that can detect human actions through walls and occlusions, and in poor lighting conditions," say Li and co.

https://www.technologyreview.com/s/614470/machine-vision-has-learned-to-use-radio-waves-to-see-through-walls-and-in-darkness/