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

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

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 ...

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

UCL joins global €60m AI-driven drug discovery initiative to generate open datasets and accelerate new medicines using AI models ...

Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world. He believes that the industry’s current obsession wit ...

Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...

The first-mover advantage for pure-play quantum computing stocks may be more precarious than investors realize.