
Soren's work on machine-learning-enabled camera with no optics was recently published in Optica. We showed that a pair of coupled deep neural networks can be trained simultaneously to implicitly learn the physics of imaging, and interpret the raw images for anthropocentric consumption. Since there are no optics, this gives rise to the thinnest possible camera. Paper is freely available here. University of Utah press article is here.