If yesterday’s F8 was all about Messenger as a platform, today it was about Facebook’s demonstration of its new Artificial Intelligence tech, which took everyone by storm. The social networking giant, once again re-instated the fact as to why it continues to be one of the most innovative and inventive tech companies out there.

The latest AI , demonstrated by facebook (seen in the video below, thanks to TC’s Josh Constine) can identify differences in videos of as many as 487 different types of sports. And while it does that, it also shows a confidence bar to tell the viewer as to how confident Facebook is, regarding video’s identification.

Another breath-taking leap in AI, was  demonstrated by Facebook in the form of sentence identification. This AI can identify the context of a sentence or a group of sentences, all on its own. You can get a better understanding of the same through the screenshot below (Image credits : TechCrunch)

facebook-language-ai-tech-portal

Facebook’s growing interest into AI has been evident for quite some time now. The social networking giant recently hired one of the most distinguished researchers in the field Yann LeCun, to start an entire Artificial Intelligence lab at NYU.

But then, Why is Facebook investing so heavily into AI ? I ask, Why not ?

While such content identification AI would definitely help Facebook in serving more relevant ads to its users, by identifying what and why they are watching/reading, the same AI could take our interaction with friends on Facebook to a whole new level.

Consider this. We all have those few frustrating friends in our friend list who post things which are as equally frustrating as the person posting them. Now, while Facebook does provide you with options like UnFollow or ultimately Unfriend, there still has to be a better way to filter out most suitable content out of all the clutter which we see on our timeline these days.

Here is when AI takes charge. With more advanced and intelligent AI system like the one demonstrated by Facebook at F8 today, we may some day be able to see exactly the kind of content, which our mind wants to see, rather than something which is near to it.

While those days are still far, but at least there’s some significant progress in the field.


 

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