Facial recognition is an incredibly useful consumer tool for organizing our burgeoning photo albums. Companies like Google and Apple have slowly integrated machine learning algorithms into their consumer photo products, which allow you to search by keywords without the need for manual tagging, or to simply click on a face to see more photos of that person.
Fake news, doctored images, even beauty filters – all of these seem to be more and more common, making it difficult to distinguish truth from lie. But Jigsaw wants to make it easier to debunk all that fakery we see online every day. The Alphabet-owned company has created Assembler, an AI-powered tool that detects image manipulations and combats disinformation.
AI has already been used to upscale images and increase their resolution. But how about applying it to a film? A 124-year-old silent film, to be exact? Denis Shiryaev used AI on Lumière Brothers’ The Arrival of a Train at La Ciotat Station and turned the iconic 1896 film into a 4K 60fps video.
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.
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.
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.
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.
This year’s Adobe MAX brought some interesting announcements and new apps. One of the new features introduced at the Sneaks event really caught our eye. It’s called Project About Face, an AI-powered tool that can detect if the image has been manipulated, It also shows where the manipulation has been applied and even helps you to revert back to the original, unaltered photo.