Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...

As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.

Geospatial Information Systems (GIS) have transformed the way we capture, store, and analyse spatial data by integrating methods from computer science, statistics and geography. Central to GIS is the ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...