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Other scientists also gave life to the neural network. Among them was John Hopfield, who showed that an
asynchronous network with time could adjust and find a minimum, where it used the least "energy". Thereby it
could develop a behaviour like the human brain, that uses content addressing. This form of neural network was
known as the Hopfield network.
Although computers have reached a speed hundred times faster since the beginning of the research, there are
still problems with the training when too much input is added. Many things have been made to solve the
problem - hardware solutions, like accelerator cards, can increase the calculation speed of the neural
network strikingly.
An anecdote of how the neural networks sees the world is found here.
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