Google is one of, if not the biggest, contributor to AI development today, and you can find AI in almost every Google product, from the Smart Reply feature in Gmail, to auto-complete in Google Search, to the next suggested video in YouTube, to the Portrait mode feature on your Pixel 2 XL smartphone, to Google Assistant in your Google Home.
In fact, AI is now the key focus for the company, with CEO Sundar Pichai stating at Google I/O earlier this year his belief that we are “shifting from a mobile first world to an AI first world.”
But what else has Google been using AI for?
More accurate translations
You may not know this, but in November 2016, Google Translate switched from its old sentence based translation system to a new one based on neural networks.
Google’s Neural Machine Translation system translates whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar. Since it’s easier to understand each sentence, translated paragraphs and articles are a lot smoother and easier to read. Additionally, the network learns over time, meaning that every time it translates something, it gets better and better.
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