When Google Pixel 3 was announced, many people were surprised to learn that it only features one rear camera and a dual front camera. The phone relies heavily on AI to help you take the best photos, and the latest update is aimed particularly at selfie-takers. Thanks to Google’s AI, the Pixel 3 can now tell when you’re making different facial expressions and snap a photo automatically when it thinks it’s the best moment.
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.
You might well have heard of Sophia, a humanoid robot built by Hong Kong-based company Hanson Robotics. Although she’s not a human, she resembles one in more than just facial features. She interacts with people, she can reportedly recognize faces, and she can mimic 62 human facial expressions. So how do you photograph something (or someone) that so closely resembles a human, yet isn’t actually a real human?
Italian-born photographer Giulio Di Sturco had a chance to take portraits of this humanoid robot and her expressive silicone face. But even more than that: he was granted exclusive permission to explore the story behind Sophia and the lab where she was made.
Artificial intelligence is already used in cameras for various purposes, but Resolve and Intel have teamed up and created an AI-based camera that is used for a good cause. Their TrailGuard is a camera that helps to protect endangered species in Africa. It’s able to detect, stop, and arrest poachers before it’s too late.
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!
On 18 May this year, Taylor Swift’s fans could watch rehearsal clips at her concert at Los Angeles venue Rose Bowl. The clips were played at a special kiosk, but mesmerized fans had no idea that their photos were being taken by a facial recognition camera. The photos were cross-referenced with a database in Nashville, all in order to spot stalkers in case they appear at the concert.
Chinese company Xiaomi is working on an algorithm that will improve low-quality images. The company wants to compete with Apple regarding smartphone photography, and it has just published a new paper on the AI network called “DeepExposure.” It uses machine learning to improve low-quality images by adding them detail while enhancing colors and brightness.