When computer vision works more like a brain, it sees more like people do
Training artificial neural networks with data from real brains can make computer vision more robust.
Training artificial neural networks with data from real brains can make computer vision more robust.
With further development, the programmable system could be used in a range of applications including gene and cancer therapies.
MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.