Neural networks have been phenomenal in the results they have achieved, out doing support vector machines, random trees, Markov models etc... But I do wonder if there is a bias towards it being able to mimick what the brain does like the other post said, and where are the limits.

For example in medicine, we want to spot unknown correlations to improve things like drug discovery, stratified medince, strange patterns in disease within a population that suggests unknown factors at play... There might be a mathematical model better that convolutional neural networks that doesn't mimick the brain, but we maybe need an ai to develop that, maybe like deep thought in hgttg!