Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

How much fresh water is in the United States? It's a tough question, since most of the water is underground, accessible at ...

UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...