We’ve talked about NVIDIA’s interest in artificial intelligence on previous occasions, and while NVIDIA Broadcast may seem unrelated to those interests, the truth is that it’s quite the opposite. This application may not be as striking as what we see in other practical applications of AI, but on the contrary, and by using it, it offers us an incredibly practical application that has a place in the daily lives of many of us.

In case you don’t know, NVIDIA Broadcast is an application that is compatible with any computer equipped with an RTX 2060 graphics card (desktop or laptop) or higher and at least eight gigabytes of RAM, and that allows us to apply, in real time, a series of effects to our video (camera) and audio (microphone) output signals, as well as what we hear from speakers or headphones. In this article, we’ll tell you what it is and how it works, and here you can see how to integrate it into OBS Studio.

As we already told you here when NVIDIA introduced RTX Voice, the effects offered by NVIDIA Broadcast take advantage of the capabilities of its graphics cards in terms of artificial intelligence (in this regard, GPUs are much more efficient than CPUs, due to their high computational capacity for floating-point operations). In this way and after previous training, these simple but effective solutions offer more than adequate results.

Recently, the company released version 1.4 of the app, which you can download here, and in addition to some performance improvements, the big new feature is Eye Contact, which, as you can see in the video above, it will simulate that you are still looking at the camera when you are not. That way, whether momentarily and inadvertently, or permanently because you’re viewing something on a screen or physical document or other device, your partners won’t be aware of it.

Of course, we must keep in mind that this feature is currently in beta, so its operation may fail to some extent, since there are millions of possible lighting and eye color scenarios that the company could not test to check that the algorithm is working correctly. However, and especially if users share their experiences with the technology, it is possible that in a short time the results can be completely reliable and that way we will no longer have to choose between looking at the camera or looking at the notes we had ready for that meeting.