MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

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

The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...

Overview: Senior machine learning engineers in tech earn $200,000–$350,000 for building large-scale production AI ...

Finbold's AI prediction platform estimated, on average, that the Bitcoin price will rally a mere 1.6% by January 31, 2026.

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

The structure of X's "For You" algorithm can now be traced on GitHub. However, how exactly the algorithm evaluates which ...

New study identifies systematic patterns in armed conflicts across Africa – and the limits of forecasting conflict intensity, ...

AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...