Google's new algorithm understands the questions as a human

We all know that Google's search algorithms are smart enough, but the company claims it has now made a fresh leap to understand the meaning behind your questions.

According to TNW, Google can now separate suggestions for questions to edit the intent behind your question, even when there are no direct reports.

Let's explain….

For example, below are some questions that the company can now answer:

* (carefully read the third party questions and see the explanation of the third in the above image)

Arrangement of elements 

"Who are the tallest Mavericks players?"

"What are the biggest cities in Texas?"

"What are the largest cities in Iowa by area?"

Questions about a specific timeline space, such as

"What was the population of Singapore in 1965?"

"What songs did Taylor Swift record in 2014?"

"What was the Royals roster in 2013?"

Some much more complex combinations:

"What are some of Seth Gabel's father-in-law's movies?"

"What was the US population when Bernie Sanders was born?"

"Who was the US President when the Angels won the World Series?"

So it seems that Google is starting to understand questions much more like a real “face” than like searching machine, and we no longer need to think of easy terms for it to understand what we are looking for.

Who knows, maybe one day we will talk to our computer…