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Nvidia has developed neural network that could revolutionise video streaming

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One of the big problems with video, especially when watching it online, is the amount of bandwidth it often takes up. This problem of bitrates is particularly a problem when it comes to things like live streaming and video conferencing. Researchers at Nvidia think they’ve found a way around the limitations of existing video streaming codecs, though, with the development of a new neural network engine.

The new engine works by completely ignoring every traditional video codec out there in order to bring the amount of bandwidth required for video streaming down to a fraction of what it might normally use with something like h.264.

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Sick of dog pictures on social media? Nvidia’s GANimal AI lets you turn them into other animals

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Of course, I’m kidding, how can anybody get sick of dog pictures on Facebook?

Nvidia’s research teams have been doing some pretty crazy stuff with AI the last few years. This latest one is pretty funny from an amusement level standpoint but quite groundbreaking from a technical one. Nvidia’s GANimal AI lets you remap your pet’s “expression” onto other animals.

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Can you guess which of these faces is real and which is computer-generated?

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NVIDIA’s researchers came up with an impressive algorithm that’s able to generate realistic faces. Some of them are so realistic that you may have a hard time figuring out that they were computer-generated. If you’re up for a challenge, there’s now a website where you can test how many fake faces you can distinguish from real ones. It can get more difficult than you may think.

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Nvidia releases new Creator Ready Drivers boasting improved performance in Adobe desktop apps

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Nvidia unveiled their new Creator Ready Drivers (CRD) for the Titan, RTX 20, GTX 10 and GTX 16 series graphics cards at GTC 2019 last week and now they’re ready to download.

Nvidia claims they offer increased performance while offering greater stability with the apps that many photographers, video editors and other creatives use on a daily basis. Applications like Adobe Photoshop CC and Premiere Pro CC, both of which, Nvidia says see up to a 9% performance increase.

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These portraits are entirely AI-generated, these people are not real

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We’ve seen NVIDIA’s impressive content aware tool and noise removing tool. They have recently developed a generative adversarial network (GAN) which easily customizes styles of realistic faces and creates new faces. That’s right, these super-realistic faces you can see in the lead image are not real at all!

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Nvidia uses AI to transform standard videos into slow motion

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If you’ve ever tried slowing down a video shot at 30 fps, you know that it becomes choppy and unusable. Nvidia has an AI-based solution for that which can turn your standard videos into watchable slow motion. The algorithm predicts what should come between two frames and fills in the space between them. As a result, you can get perfectly usable slow motion videos even if they were shot at 30 fps.

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Photoshop Tip – How to fix a glitchy Liquify brush on windows

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When I first started on my journey of learning my way around Photoshop I was a full-on Apple product fanboy, it just seemed like every creative was using an Apple machine and that I should do the same. Once I went full time I realised that I would build myself a PC that would be much more powerful for the price.

After my build was complete the first thing I did was install the Wacom drivers and Photoshop only to find that some things didn’t work quite as I had expected them to. There were major brush lag issues and the annoyance of Window Ink that would be a shock to anyone having just moved over to Windows from OSX.

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Nvidia’s “content-aware” cloning tools use deep learning AI for incredibly realistic results

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When the Content-Aware Fill tools were added to Photoshop a number of years back, they were hailed as being the best thing since Photoshop itself was created. Now, with a couple of clicks, you could get rid of the stuff you didn’t want in your image and Photoshop would magically replace it with what you wanted. The reality was that it didn’t always do what it said on the tin, leading to the nickname “Content-Aware Fail”.

It’s come a long way since then. It’s smarter than it was, and soon it may expand to include fill sources from Adobe’s vast stock library. Nvidia’s taking a slightly different approach, though, using deep learning AI to help fill in the gaps, and while the aesthetics are still fairly primitive, the AI seems to do a great job of recognising what’s what.

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