Because conventional binary computer hardware was not designed to run brain-like algorithms, machine-learning tasks require orders of magnitude more computing power than the human brain does.
NIST, the US National Institute of Standards and Technology, is one of a handful of groups trying to develop ‘neuromorphic’ hardware that mimics the human brain in the hope that it will run brain-like software more efficiently.
Superconducting computing chips modelled after neurons can process information faster and more efficiently than the human brain.
MORE