By combining scientific knowledge and data, Causal AI models can discover valid links that might otherwise go unnoticed.

Therefore, it is imperative that decision makers also consider another AI approach—causal AI, which can help identify the precise relationships of cause and effect. Identifying the root causes of ...

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world ...

Using causal AI and cloud computing, Aitia is turning the data into Gemini digital twins that reverse-engineer the hidden 95% of human biological circuitry. Gemini digital twins are computational ...

The Causal AI Market is slated to expand from USD 56.2 million in 2024 to USD 456.8 million by the year 2030 at an impressive ...

In turbulent SaaS and B2B markets, causal AI enables marketers to defend their investments and optimize GTM strategies. The ...

School of Aeronautics, Universidad Politécnica de Madrid, 28040 Madrid, Spain The causal relevance of local flow conditions in open-channel turbulence is analysed using ensembles of interventional ...

Previously, the only case in which a causal relationship between vaccination and death was deemed “undeniable” occurred in a 42-year-old woman who was vaccinated in Aichi Prefecture last November.