To build truly intelligent machines, teach them cause and effect. The formal modeling and logic to support seemingly fundamental causal reasoning has been lacking in data science and AI, a need Pearl ...

SEATTLE, October 29, 2025--(BUSINESS WIRE)--Causely, the only AI SRE using a structured causal graph to enable deterministic automation, now leverages Google’s Gemini models to enhance how users ...

As we stand on the brink of a new era in artificial intelligence, marked by advancements from leading tech giants, the healthcare industry finds itself at the cusp of a transformative revolution. The ...

The feedback loops that define DeFi, on-chain contagion, and crypto financial crime are not statistical phenomena. They are ...

Sub-headline: BIT researchers introduce CausalBridgeQA to tackle spurious correlations in complex multi-hop reasoning chains.

And What the Industry Gains When They Do. The financial industry has sophisticated risk models. It does not yet have causal ...

GNQ Insilico, Inc. (GNQ), a precision medicine TechBio company, today announced a collaboration with IBM aimed to help healthcare and life sciences organizations accelerate the ad ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Causal learning and reasoning are fundamental cognitive skills that emerge early in childhood. These processes enable young learners to decipher the relationships between events, actions and outcomes, ...

Imagine hearing a distant roll of thunder and wondering what caused it. Even asking that question is a sign that you, like all humans, can perform a type of sophisticated thinking known as "causal ...