The tech and crypto markets are unpredictable. This is a problem for standard models, like the Markowitz model, which rely on assumptions that don't always fit. Many experts are looking for new methods that can handle this. Deep Reinforcement Learning (DRL) is a promising approach. It uses
Picture this: a condition that's as serious, as you can have it - and, cruel too, since it threatens the lives of many, puts a strain on health care systems. Chronic heart failure is the name of the misery. Machine learning is not an easy thing to try to explain, but the term Machine Le
Firstly, think about how small kids have to deal with central venous access devices (CVADs), which are basically tubes that go into a big vein. These devices are super important for giving medicine and nutrients, but they can cause serious problems like blood clots, known as CRT. So, spotting who mi
Making computers understand and plan chemistry reactions is a tough task, and it gets tougher when you need the computer to be fast and have a system that has a low carbon footprint. You need to balance lots of factors and timing to make it all work well. Chemistry involves breaking down complex mo
Elite and expert athletes constantly push the boundary of human performance. Regardless of their sport, balance is a fundamental skill that can make or break an athlete's success. Researchers set out to unpack the mystery of balance. By closely studying balance abilities, they aimed to f
Head and neck cancer patients often face unpleasant side effects from radiotherapy, like dry mouth (xerostomia) and sticky saliva. Scientists are exploring ways to predict these side effects using machine learning. A recent study compared different machine learning models to see which one could pred
You know those tiny viruses that attack bacteria? They're called phages, and scientists are looking at them as a possible way to fight antibiotic-resistant infections. The problem is, phages can target different types of bacteria, making it tricky to find the right one. Existing computer tools don't
Machine learning is stepping up to help predict COVID-19 cases, especially in regions where data can be a bit iffy. You see, the COVID-19 pandemic hit hard in 2019, causing a lot of sickness and even death. One big problem was getting accurate numbers on how many people were actually sick, especiall
Researchers have figured out a way to predict how engaged athletes will be, using machine learning. This method focuses on three key aspects: how well the team works together (cohesion), how passionate they are, and how mentally tough they are. These factors can greatly impact an athlete's engagemen
Have you ever wondered what people talk about on social media during hurricanes? Instead of calling emergency hotlines, many people now turn to platforms like Twitter to share updates and seek help. The problem is, there's so much content that important messages can get lost. In the past, researcher
