AI Technology & Industry Review
At the Google For India 2018 conference in New Delhi yesterday Google launched its AI platform Navlekha, which enables publishers to make offline Indian language content fully editable and streamlines the online publishing process.
Facebook generally uses its F8 Developer Conference to introduce new website features. This year however there was a distinct emphasis on “AI,” with the term mentioned more than ever in the event’s keynote speech.
Microsoft researchers in the US and Asia sent a shockwave through the AI community today with their paper Achieving Human Parity on Automatic Chinese to English News Translation, which introduces a neural machine translation system they say equals the performance of human experts in Chinese-to-English translation.
To combine the advantages of these two methods, the authors of this paper first adapts the multi-source NMT model, by employing different encoders to capture the semantics of the source language, then the decoder is used to generate the final output by the multiple context vector representations coming from the encoder.
Attention is simply a vector, often the outputs of dense layer using softmax function.