Understanding is often defined as the ability to form mental models of the world, reason about cause and effect, and predict outcomes. Human understanding is deeply rooted in intuition and causality, ...

Mixed-frequency time-frequency canonical correlation analysis (MF-TFCCA) is a method for identifying causal relationships between time series of different temporal resolutions.

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or ...

The latest core client library targets .NetStandard 2.0. The Microsoft Graph .NET Client Library supports the use of TokenCredential classes in the Azure.Identity library. You can read more about ...

Finally, the focus on causality may introduce increased risks of unintended (and undetected) consequences. Causal AI, if based on flawed models or data, can lead to unintended negative outcomes.