Sparse-data method estimates sea surface temperatures 40% more accurately than conventional approach

Researchers have developed a method for extrapolating sea surface temperatures from sparse data that is significantly more ...
ascopubs.org

Dynamic Mortality Risk Prediction in Myelodysplastic Syndromes Using Longitudinal Clinical Data

Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...
Phys.org

Interpretable AI in materials discovery: Uncovering how models make predictions

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...
MIT Technology Review

The risk of weather data sabotage is rising

Prediction markets and a move toward AI forecasting are starting to put the accuracy of weather predictions at risk. Here’s what we can do to safeguard them. Every morning, airline dispatchers, grid ...
The Motley Fool

Federal Reserve Research: Kalshi Prediction Markets Are Just as Good, if Not Better, Than Traditional Forecasting Methods

The contracts are priced based on the broader market's perceived likelihood of an event and are time-sensitive, meaning there is usually a specific date by which something must occur. Prediction ...
The Sunday Guardian Live on MSN

Earthquake prediction: Scientists say new method can pinpoint where major quakes are likely to strike next | What we know

India, Sept. 7 -- Geophysicists at the University of California, Riverside have developed a new method for identifying ...
Hosted on MSN

More fuel-efficient aircraft could be developed, new method offers accurate drag predictions

A proposed computational approach could help develop more fuel-efficient aircraft, according to researchers. The method can provide aerodynamic drag data more efficiently during the early stages of ...