New Machine Learning Technique Exposes Invisible Objects in the Dark

According to the MIT engineers, their new machine learning technique enables them to see even the tiniest imperfections in transparent objects. In a paper published by the MIT engineers in the journal Physical Review Letters, the team reported how they used a deep neural network to reconstruct transparent objects from images of the same objects taken in pitch-black conditions. The MIT researchers reportedly trained the neural network to associate specific inputs with corresponding outputs. In the team's experiment, the inputs were the dark, grainy images of the transparent objects. They then used outputs of the objects themselves.