In the not-so-distant future, it may be possible for machines to see better than humans. Researchers at the Massachusetts Institute of Technology (MIT) have developed a deep-learning algorithm that can surpass the human eye in terms of image recognition. This breakthrough could have major implications for the applications of artificial intelligence (AI) and computer vision.

The new algorithm, dubbed the “Perceptual Image Quality Analyzer” (PIQA), is based on a deep learning neural network. It is capable of scoring images based on their visual quality and is designed to detect subtle differences that the human eye might not notice. The algorithm was trained on a large dataset of images and is able to accurately identify the differences in quality between two images. It can also predict how close a given image is to an ideal version of the same image. This could be a major step forward in the quest to create machines with better visual capabilities than humans.

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source: Phys.org