I put the singularity bit in to make it relevant for those who are non-technical. This experiment is significant because it shows that large artificial neural networks can be made to work. People have tried and failed at this for decades.

This technigue was "discovered" by geoff hinton at the university of toronto in 2005. However, nobody at tried (or maybe got enough funds) to try it this scale.

If this continues to work at larger and larger scale, this would be a machine learning technique that can work accurately on tasks that are hugely important to society

- accurate speech recognition - human level compuer vision (make human manual labor redundant)