Google starts using device learning to aid with spell checker at scale in Search.

Google introduces Google Translate using maker finding out to automatically translate languages, starting with Arabic-English and English-Arabic.

A brand-new period of AI starts when Google scientists enhance speech acknowledgment with Deep Neural Networks, which is a new maker finding out architecture loosely modeled after the neural structures in the human brain.

In the famous "cat paper," Google Research starts using big sets of "unlabeled data," like videos and photos from the internet, to substantially enhance AI image category. Roughly analogous to human learning, the neural network acknowledges images (consisting of felines!) from exposure instead of direct instruction.

Introduced in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic progress in natural language processing-- going on to be pointed out more than 40,000 times in the years following, [forum.batman.gainedge.org](https://forum.batman.gainedge.org/index.php?action=profile