Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans. The machine learning ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

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.

Utilizing machine learning to predict win probabilty, Leverage uses events that happen and compares them to opposing outcomes ...