Causality extraction is a rapidly evolving subfield of natural language processing that focuses on the identification and analysis of cause–effect relationships within unstructured textual data. This ...

Tohoku University and Fujitsu Limited demonstrated an important use case for AI technology in new materials discovery, suggesting that the technology has the potential to accelerate research and ...

The surge in enterprise AI has fueled interest in causal analysis. In this piece, I explore the threads that bind cause and effect - and how they can be applied across a range of industry scenarios.

Anyone who develops an AI solution sometimes goes on a journey into the unknown. At least at the beginning, researchers and designers do not always know whether their algorithms and AI models will ...