AI & Robotics

Google Health today shared an AI model trained with more than 90,000 mammogram x-rays that achieve better results than human radiology experts while recognizing more of false negatives, the kind of images that look normal but contain breast cancer. Initial findings were published in Nature. The model achieves lower rates of false-positives (5.7% in U.S. and 1.2% in the U.K.). It also achieves…

Ever notice that underwater images tend to be be blurry and somewhat distorted? That’s because phenomena like light attenuation and back-scattering adversely affect visibility. To remedy this, researchers at Harbin Engineering University in China devised a machine learning algorithm that generates realistic water images, along with a second algorithm that trains on those images to both restore…

Positive affectivity, or the characteristic that describes how people experience affects (e.g., sensations, emotions, and sentiments) and interact with others as a consequence, has been linked to increased interest and curiosity as well as satisfaction in learning. Inspired by this, a team of Microsoft researchers propose imbuing reinforcement learning, an AI training technique that employs…

Optical character recognition (OCR), or the conversion of images of handwritten or printed text into machine-readable text, is a science that dates back to the early ’70s. But algorithms have long struggled to make out characters that aren’t parallel with horizontal planes, which is why researchers at Amazon developed what they call TextTubes. They’re detectors for curved text in natural…