How do humans recognise face from any given angle? That's a puzzle that scientists at MIT have been trying to solve and as a step towards that ultimate goal have developed a new machine learning system that effectively shows what could be going on inside our brains when facial recognition is being carried out. The work is being dubbed as a study of social intelligence which is an important part of human intelligence by Tomaso Poggio, a professor of brain and cognitive sciences at MIT and director of the Center for Brains, Minds, and Machines (CBMM). The paper published in Current Biology described a theory that explains how our visual system learns to compute invariant descriptions of an object and applies to the case of faces where scientists have been able to make the machine recognise a face that it has seen only once from a certain point and scale it to other points. For example the machine would have been trained to see the face from 90 degrees, but not from 45 degrees; however, through its intelligence it learns to recognise the face when it is shown at an angle of 45 degree rotation.