When AI-generated faces became more widespread and available, some people feared that these fake portraits could be misused. Well, their fears came true. On Friday, Facebook removed almost a thousand of fake profiles, pages, and groups that used photos generated by artificial intelligence. And according to the sources, all of them were used to push political, mainly right-wing campaigns.
This is how Google Pixel 4’s Portrait Mode works
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Ever since Google Pixel 4 was announced (and even before), its Night Sight or “astrophotography mode” has been creating quite a buzz. But the camera in Pixel 4 is certainly capable of much more. In a recent blog post, Google has explained the science behind the Portrait Mode of its latest flagship phone.
Google explains how Pixel phones use AI for astrophotography
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Ever since the first video and images leaked, we knew that the new Google Pixel 4 was capable of shooting astrophotography, even handheld. If you have wondered how a humble smartphone camera can capture the night sky, Google is now offering an explanation on its blog.
Sony creates new “Sony AI” organisation to enhance imaging tech
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Sony has announced that they’ve established a new “Sony AI” organisation, with offices in Japan, Europe and the USA. Its goal is to advance the research and development of AI. They see AI playing a vital role in the future, particularly when it comes to imaging & sensing, robotics and entertainment.
Their purpose, Sony says is to “Fill the world with emotion, through the power of creativity and technology” and that AI will play a big part in that. Sony AI will drive the R&D of AI through “multiple world-class flagship projects”, and they’ll be looking into the ethics of AI technology, too.
This is how Instagram chooses content for your Explore tab
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Have you ever wondered how those random posts appear on your Explore page on Instagram? Well, they’re not random at all. The platform uses AI to find the stuff you might like. In a recent blog post, Instagram’s engineers explain more about how the app decides what gets to be in your Explore tab.
This algorithm removes water from underwater photos, and they look incredible
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Oceanographer and engineer Derya Akkaynak from MIT has developed an algorithm that “removes water” from underwater images. As a result, it makes the underwater world look exactly as it would if we were to see it on dry land. And it’s not only useful for scientists. For us “common folks,” it’s amazing to see the underwater world in a completely new context.
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.
Adobe introduces AI-powered Object Selection Tool that makes complex selections in a heartbeat
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In some situations, Photoshop’s Magic Wand tool can save you a whole lot of time when making selections. This group of tools is getting an upgrade, and a very powerful one: meet Object Selection tool. It’s a powerful AI-powered solution that helps you make even complicated selections by a simple click-and-drag. In the video below, Meredith Payne Stotzner of Adobe will show you how it works, and I must say it looks pretty impressive.
Adobe shows off new and smarter Content-Aware Fill, coming to Photoshop soon
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Photoshop’s Content-Aware Fill is soon to get an upgrade, and Adobe has just launched a video to show off the latest improvements. The Content-Aware Fill is getting more intelligent and more powerful than before, allowing you to be not only more precise, but also much faster while cloning out unwanted elements.
Online database ImageNet to remove 600,000 images after art project exposes its racist and gender bias
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ImageNet, one of the largest publicly accessible online databases of photos, is removing 600,000 images from its system. In other words, that’s as many as half of the 1.5 million images in its “person” categories. The decision came after an art project ImageNetRoulette revealed racist and gender bias that underlines ImageNet’s artificial intelligence.
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