Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Tariffs are now feeding through to consumer prices, pushing inflation higher and disrupting the prior disinflationary trend.

Researchers have developed an innovative AI approach that embeds causal reasoning into offline reinforcement learning, enabling autonomous systems like driverless cars and medical support devices to ...

Causal graph representation learning has been an essential tool for improving the performance achieved in downstream tasks such as link prediction in causal graphs. Most of the existing methods can ...

Many causal and structural effects depend on regressions. Examples include policy effects, average derivatives, regression decompositions, average treatment effects, causal mediation, and parameters ...