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OpenAI has today announced GPT-4, the next-generation AI language model that can read photos and explain what's in them, according to a research blog post.

Canon has showcased a neural network, deep learning-powered image processing technology that can dramatically improve image quality in three areas: noise, color, and lens imperfections such as aberrations or blur.

Researchers from Samsung Labs have developed a way to create high-resolution avatars, or deepfakes, from a single still frame photo or even a painting.

Retouch4me has announced the first neural network-trained plugin for DaVinci Resolve that automatically retouches skin imperfections extremely quickly and entirely on its own.

Retouch4.me offers a collection of nine plug-ins that it says use AI to capably and effectively retouch photos and target specific retouching tasks to quickly automate what would normally take much longer to do by hand.

The Rijksmuseum in Amsterdam has released an interactive photo of The Night Watch painting by Rembrandt in a staggering resolution of 717-gigapixels. The museum claims it is the highest resolution photo of artwork ever captured.

Google's new "Pet Portraits" feature inside its Arts and Culture app allows users to find works of art that resemble their pets by simply submitting a photo and letting the artificial intelligence find a match from thousands of art pieces.

For the first time in 300 years, viewers can enjoy "The Night Watch" -- the iconic painting by Rembrandt -- in its entirety thanks to high-resolution photography and computer learning efforts.

CMOS image sensors, while amazing in many ways, aren't flawless: they are affected by many different types of noise introduction that can reduce image quality. That noise can lead to corrupted pixels -- or "bad" pixels -- and Samsung has unveiled a new method to get rid of them: a neural network.

Earlier this year, researchers from two universities and Google published a new AI-powered technique they developed called "Depth-Aware Video Frame Interpolation" or DAIN, and it's simply mind-blowing. The tech can interpolate a 30fps video all the way to 120fps or even 480fps with almost no visible artifacts.

In "news we missed last month," genealogy website MyHeritage has launched its very own easy-to-use Photo Enhancer tool that uses deep learning technology to turn blurry or faded family photos into sharp snaps in a single click. People on social media are loving it.

Disney researchers have unveiled a new algorithm for fully automatic high-resolution face-swapping for both photos and videos.

Facebook just expanded 3D photo posting to phones that don't actually capture depth data. Using the magic of machine learning (i.e. artificial intelligence), Facebook taught a neural network how to "infer 3D structures from 2D photos," even if those photos were taken with a single lens camera.

There's amazing work being done in the area of using neural networks to edit or create photos. If you'd like to experience some cutting-edge technology for yourself, check out GANPaint Studio. It's a free online demo that shows how photo editing tools of the future could work.

Skylum has officially announced the upcoming release of Luminar 4—the next generation of their increasingly popular photo editor—by showing off a new AI-powered editing tool that will be available only to Luminar 4 users: AI Sky Replacement.

Fake photos are a rampant issue in our digital age, but researchers are working hard to restore a greater degree of trust to photography. One team has created a new AI that can detect when faces in photos were manipulated using Photoshop.

There have been huge advancements in recent years in the area of AI "deepfakes", or fake photos or videos of humans created using neural networks. Fake videos of a person usually require a large number of photos of that individual, but Samsung has figured out how to create realistic talking heads from as little as a single portrait photo.

NVIDIA got the world talking in December 2018 after showing off a new AI that can create ultra-realistic photos of people who don't actually exist. Now there's a website that lets you generate these imaginary portraits yourself. It's called thispersondoesnotexist.com.

The photo editing software company Polarr has launched a new iOS app called Deep Crop that uses AI to crop your photos " like a professional photographer."

How accurately do you expect your camera to be in representing the real world? If your answer is "not very," then Draw This is an instant camera designed for you. It snaps pictures and prints them as cartoon drawings.

NVIDIA researchers have created a new AI system that can turn standard 30fps video into high-quality slow-motion that looks like it was actually shot at higher frame rates with a high-speed camera. The 1.5-minute video above has demos and comparisons showing what the AI can create.

While companies and researchers around the world work to build the most advanced and powerful AI systems, Facebook has a special treasure trove that most don't: billions of tagged photos thanks to Instagram. Facebook has now used those photos to create a leading image recognition AI.

Want to shoot beautiful photos without having to lift a finger or think about it? The Prosthetic Photographer can help you. It's a camera attachment that uses artificial intelligence and electricity to shock you into shooting good photos.

Twitter has just announced that auto-cropping of photos on the social networking service will be producing much better results thanks to a new neural network that has been trained for the task.

Google has introduced a new AI system that's trained to rate photos on whether or not they are good technically and attractive aesthetically. It's called NIMA, or Neural Image Assessment

Instead of searching for the ideal model for a photo shoot, photographers of the future may be able to generate one using artificial intelligence. Neural networks these days can generate portraits of imaginary people.

Want to turn your smartphone snapshots into DSLR-quality photos? A group of scientists in Switzerland is trying to help make that possible. They've created a neural network that aims to automatically enhance low-quality phone snapshots into "DSLR-quality photos."