Using AI computers can now recognize faces with a similar efficiency and neuroscientists at MIT’s McGovern Institute for Brain Research have found that a computational network trained to identify faces and other objects discovers a surprisingly brain-like strategy to sort them all out. Researchers assembled hundreds of thousands of images with which to train a deep neural network in face and object recognition.
As the program learned to
identify the objects and faces, it organized itself into an
information-processing network with that included units specifically dedicated
to face recognition. This occurred during the later stages of image processing.
In both the brain and the artificial network, early steps in facial recognition
involve more general vision processing machinery, and final stages rely on
face-dedicated components.
More information:
https://news.mit.edu/2022/optimized-solution-face-recognition-0406