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
Imagine not being able to quickly detect a stroke. It can lead to serious problems, like permanent brain damage or even death. This is where deep learning (DL) and machine learning (ML) models come in. They can help spot strokes early, making treatments more effective and reducing serious long-term
Ever wondered how AI can make physical education more effective? Well, a recent study used deep learning algorithms to help teachers understand their students' learning better. They used convolutional neural networks to find patterns in teaching images. And get this, they even created a neurocogniti
Ever wondered what lies deep beneath the Mediterranean Sea? Hidden under 30 meters of water, there's a world of deep-water oyster reefs. These reefs, shaped by the gryphaeid Neopycnodonte cochlear, are not as well-known as their shallower counterparts but are just as important. Scientists have been
Heart health matters, especially for lung cancer patients undergoing radiation therapy. Since a big study called RTOG 0617, doctors have been paying more attention to how radiation affects the heart. But there's a problem: we don't have enough large-scale studies that accurately map the different pa
Offline reinforcement learning (RL) faces a big problem: errors can pile up when deep Q functions try to work outside the data they were trained on. This hurts how well the policy can perform on new stuff. Existing methods are too cautious, which isn't great for generalization. But here's an interes
