We’ve seen several uses of AI aimed at improving photos. Whether it’s improving their resolution, or turning selfies into decent portraits, they usually work on a single, existing photo. But a method from NVIDIA generates the photos of people that don’t actually exist. And it’s interesting and kinda creepy at the same time.
Apple’s Photos app is capable of detecting almost 4500 different scenes and objects using image-recognition technology. But recently, a user discovered that the app also knows what a bra looks like. So, it recognizes and tags all your photos in a bra, making them all viewable in one place. Since no AI is perfect, this one isn’t either – some users have reported that the app also placed their nude or even sex photos in the “bra” category.
The scientists of Max Planck Institute for Intelligent Systems in Germany have developed a new algorithm. It enhances low-res images so that they miraculously become hi-res and sharp. It only needs a single low-resolution input, and it will increase its resolution while retaining the realistic textures and details.
Shutterstock has introduced their new search tool, which helps you narrow down the search results even further. Composition Aware Search lets you search the images by the position of the objects in them. The tool features a canvas on which you place the keywords. Then you can move them around and get the photos that contain specific objects in a specific order.
TechCrunch report that Apple has acquired a small computer vision AI tech startup, Regaind. They say that the report has come from multiple sources, and if true could be very cool for the future of Apple’s mobile photography.
Apple already added an intelligent search to the iPhone Photos app a couple of years ago. It allows you to search for particular things like “tree” or “water”, and will usually give you what you ask for. This acquisition allows Apple to take things to a whole new level, though.
No matter what the platform, the Internet is plagued with a common problem. Whether it’s Facebook, Instagram, YouTube, or a regular old fashioned forum on the web, trolls are everywhere. They have nothing better to do than try to mess up the day of other people. They’re the largest collective source of negativity on the Internet, and countless hours are wasted every day manually trying to thwart them.
This Wired interview with Instagram CEO, Kevin Systrom, they think they’ve found an answer. Instagram believes that the future for fighting trolls lays in artificial intelligence. A piece of software designed to detect the troll comments and remove them before they’re ever seen. The goal is to produce a much more pleasant community in which Instagram users can exist and converse.
This week, Google’s AlphaGo program beat the world’s best Go player, Ke Jie, in 2 straight games in a best of 5 series. Go is considered to be the world’s hardest board game, and some AI experts didn’t think that a machine would be able to best humans for another decade.
In the area of photography, companies like Google have already introduced various aspects of machine learning allowing users to search for photos by keyword without having ever entered keywords. Combined with other features like facial recognition give the user surprisingly accurate and useful results. It’s clear that AI has reached a powerful inflection point.
This time last year, there was a pretty big fuss about FindFace, an app that uses facial recognition to discover people’s identities with pretty high reliability. But for 33-year-old Fu Gui from China, facial recognition technology turned out to be life changing. It helped him find his family and reunite with them after being apart for 27 years.
A few decades ago, it was impossible to imagine a camera without film. It was also hard to imagine a gadget such as a smartphone. Now, these two are merged together and becoming better and better all the time. But what would happen if you took away the camera from a smartphone, but still be able to take photos with it? A theory is that this could be awaiting us in the future, thanks to the artificial intelligence. The endgame for cameras in the future could be having no camera at all.
Neural networks, deep learning, artificial intelligence, whatever term you prefer seems to be a very hot topic lately. Every couple of weeks there seem to be new developments to show off what it can do. We’ve seen CSI-like enhancements, facial recognition that can see through obscuration, converting 2D to 3D and plenty more. This one, while it might initially seem quite gimmicky, is actually pretty cool.
Research Engineer Roland Meertens has been working with neural networks and the Nintendo Gameboy camera. His goal is to produce photorealistic results from 190×144 pixel images produced by the Gameboy Camera. Released in 1998, it became the world record holder at the time for the “smallest digital camera”. You could also get a little printer to go along with it. It was a very cool toy for its time, but it wasn’t exactly broadcast quality.