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Researchers Use Smartphone Camera to Identify Acne-Causing Bacteria

Researchers from the University of Washington have developed a way to use smartphone photos to identify potentially harmful bacteria on skin and in the mouth. The method can visually identify microbes on the skin that contribute to acne as well as those that cause gingivitis and dental plaques. The team was led by Ruikang Wang, […] petapixel.com »

2021-6-12 23:49

Google and UC Berkeley researchers create AI that can remove shadows from images

Researchers with the University of California Berkeley and Google Research have published a new paper detailing an AI that can remove unwanted shadows from images. The algorithm focuses on two different types of shadows -- ones from external objects and ones naturally resulting from facial features -- and works to either remove or soften them in order to maintain a natural appearance. dpreview.com »

2020-8-26 17:40

Researchers Developed an AI that Can ‘Relight’ Portraits After the Fact

A group of researchers and engineers from UC San Diego and Google have trained a neural network to “relight” portraits after the fact “according to any provided environment map.” In other words: their system can take any photo and adjust the lighting at will—including the direction, temperature, and quality of the light. The technology was […] petapixel.com »

2019-7-16 22:35

NVIDIA researchers can now turn 30fps video into 240fps slo-mo footage using AI

NVIDIA researchers have developed a new method to create 240fps slow-motion video from 30fps content using artificial intelligence. Detailed in a paper submitted to the Cornell University Library, NVIDIA researchers trained the system by processing more than 11,000 videos through NVIDIA Tesla V100 GPUs and a cuDNN-accelerated PyTorch deep learning framework. dpreview.com »

2018-6-21 19:13