Uniform point sets are essential in many fields. They are used in experiments, graphics, and finance. These sets need to have low discrepancy, which means the points are spread out evenly. Recent studies have shown that using Graph Neural Networks and optimization can create point sets with much low
Cryptocurrencies have become a hot topic in finance, offering plenty of room for research. Predicting their prices accurately is a big deal for both researchers and investors. However, the unpredictable nature of cryptocurrency markets makes this a tough job. Many studies have tried to use deep lear
Deep learning is shaking up the world of brain mapping. This technology is making it easier to see what's going on inside our brains. It's all about a technique called Quantitative Susceptibility Mapping (QSM). This method uses magnetic resonance imaging (MRI) to create detailed maps of brain tissue
Medical image classification has seen a huge boost from deep convolutional neural networks (CNNs). These networks are like super-smart detectors that can spot patterns in medical images. However, there are two big hurdles to overcome. First, medical data from different places isn't always the same.
Imagine teaching a machine to understand the world by watching a continuous stream of videos. This is not as simple as it sounds. The data is always changing, making it hard to learn effectively. But, there are unique chances to create useful representations that match the flow of information. This
Chemicals can be harmful to the environment, but testing each one is a slow process. Scientists have found a way to speed this up using something called graph neural networks (GNNs). These networks can predict how harmful a chemical might be to tiny microbes called nitrifiers. These microbes are imp
Imagine if scientists could teach computers to understand our brain waves better. This is exactly what some researchers are trying to do. They are using a technique called deep learning to analyze something called functional brain networks (FBNs). These networks are like maps that show how different
Cities around the world have unique road layouts. These layouts can be compared using a new method. This method uses AI to measure how different these layouts are. This is a big deal because traditional methods of comparison have strict limits. These limits make it hard to see the true differenc
Athletes are always looking for ways to improve their performance. Traditional methods of assessing physical fitness have been around for a long time. These methods use standardized tests that are designed for different groups of people. However, recent studies show that combining these tests with m
Imagine trying to guess how busy a city street will be in an hour. It's not just about looking at past traffic data. You also need to think about things like the weather and what's happening nearby. Most methods out there only look at past traffic data for short periods. But what if we could use mor
