Discover more about how AI models can accurately distinguish children with autism spectrum disorder using eye-tracking ...
BOWLING GREEN, Ohio — Every stitch that Bowling Green State University student Nate Hughes sews has led him closer to star‑powered attention. Hughes said he was stunned when he learned that singer ...
Expertise isn't easy to pass down. Take riding a bike: A seasoned cyclist might talk a beginner through the basics of how to sit and when to push off. But other skills, like how hard to pedal to keep ...
Whether it's a sudden dash across the garage or silhouette in a backyard web, spiders evoke fear in many people. But researchers don't have a clear picture of why, exactly, this phobia is so common.
Abstract: Assessing worker skill is essential for optimizing high-complexity, low-output production tasks that are consequently difficult to automate for increased efficiency over human work.
You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Affectiva elevates its Emotion AI with Smart Eye Automotive Safety-Grade Eye Tracking Technology, pioneering a new attention metric for brands and entertainment companies. With a distinguished ...
Fellow Sean McGregor's work on the AI Incident Database (AIID) is highlighted in the Bulletin of the Atomic Scientists. The AIID indexes the harms (and potential/near harms) that artificial ...
A team of researchers in China has developed a remarkable device to allow people with limited mobility to use computers and experience VR content by moving their eyeballs – and to power the gadget ...
System schematic for automatic detection of sister chromatid exchanges. Machine learning techniques have been used to develop a set of algorithms that can identify and count SCEs in microscopy images.