Artificial intelligence is already embedded in the way modern militaries plan, fight, and try to prevent wars, so it is no ...

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 ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

In just three months, Phlow and Enveda generated and analyzed nearly 20,000 unique reactions, creating one of the largest high-quality datasets of its kind. The resulting uniform dataset is ...

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

The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become ...

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

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

In 2024, Geoffrey Hinton was awarded a Nobel Prize in Physics for his work with machine learning. Here's what the "Godfather ...

Keystone, a global technology and advisory firm specializing in economics, strategy, and complex digital ecosystems, today announced a strategic investment with Audax Private Equity ("Audax"), a ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...