Imagine you're trying to see a hidden path, but it's either too bright or too dark. This is where combining visible (vis) and infrared (IR) images comes in. Visible light helps us see details in daylight, while infrared lets us spot heat even in darkness. The trouble? These images are like two diffe
Let's think about the tricky ethics of using AI in music. We're talking about how AI tools might carry some unfair baggage from the past. Take Holly+, for instance, a special AI that makes music like its creator, Holly Herndon. Shouldn't we question how it works and what it implies? We can learn fro
Powder X-ray diffraction, or PXRD, is a major tool used to study materials. While it’s commonly used, the part where humans have to manually analyze the data is tough, and automatic methods aren't great at fine details. Predicting exact crystal structures from PXRD has been a challenge. That's where
In sports like running, jumping, or soccer, coaches often need to study athletes' moves to help them improve. One big challenge is quickly spotting athletes, their gear, and field boundaries in videos or photos. Existing methods struggle with this, mainly because they lose important time details, mi
Deep brain stimulation (DBS) is a surgical treatment that's been helping people with treatment-resistant obsessive-compulsive disorder (OCD). Even though it's pricier than other similar treatments, it's gained popularity due to its adjustable nature. This study takes a fresh look at the cost-effecti
Imagine having a stroke and then living with unbearable pain for the rest of your life. This is the reality for many people who suffer from central poststroke pain syndrome (CPSP). One method that doctors use to manage this severe pain is deep brain stimulation (DBS). But how effective is it, and wh
You know how dentists use special X-rays to see inside your mouth? It's called cone beam computed tomography (CBCT). When teeth are stuck or impacted, it can be tricky to see them clearly. Scientists recently tested four different smart computer tools, called deep learning methods, to see which one
Traffic forecasting on freeways has long relied on deep learning models, especially graph neural networks that blend graph theory with deep learning. These models are great at learning complex time and space patterns. However, traditional graph convolutional networks (GCNs) sometimes struggle with l
On Tuesday, the US government took action against groups from Russia and Iran, accusing them of trying to interfere in the upcoming US election. The Treasury Department announced sanctions on an Iranian company linked to the Revolutionary Guards Corps and a Russian organization tied to the military
Understanding microbial communities is no easy task. These tiny organisms are incredibly diverse and complex, making it tough to get a clear picture of their functions. Traditional methods of predicting protein functions, which rely on similarities between sequences, often fall short. They struggle
