The Google Brain team took a step back to detail its advancements in the machine learning community for the 2016 calendar year
NLU: Getting computers to understand our language
In 2016, the Google Brain team took previous research from a paper called “Sequence to Sequence Learning with Neural Networks,” which demonstrated that the approach could be used for machine translation, and replaced the translation algorithms powering Google Translate with a new end-to-end learned system. The new system “closed the gap between the old system and human quality translations by up to 85% for some language pairs,” wrote Dean. – See more at: http://sdtimes.com/google-brain-team-prepares-machine-learning-driven-future/#sthash.jGAFeg2f.dpuf
Source: Google Brain team prepares for machine-learning-driven future – SD Times
