Relying solely on predictive models of AI in areas as diverse as health care, justice, and agriculture risks devastating consequences when correlations are mistaken for causation. Therefore, it is ...

This courses introduces causal inference methods, primarily using probabilistic graphical models, to identify and estimate counterfactual quantities as functions of observational data. We will discuss ...

The AI startup, founded by ex Cruise machine learning engineers, has raised $5.5 million in a round led by Kindred Ventures.

The causal AI platform goes beyond deep learning and large language models to create increasingly accurate replicas of human disease directly from human multiomic data. Mainstream AI relies on ...

and J.-M. Zakoían [2013] propose to use noncausal models to parsimoniously capture nonlinear features often observed in financial time series and in particular bubble phenomena. In order to ...

Causal AI for predicting clinical efficacy is currently transforming the pharma business model. The gold standard for establishing causality is the prospective, randomized, placebo-controlled ...

Causal Labs, the AI company pioneering physics-based models to address civilization-scale challenges, is announcing it has ...

The seed funding was led by Kindred Ventures with participation from Refactor, BoxGroup, Factorial, Otherwise, and Karman ...

SAN FRANCISCO--(BUSINESS WIRE)--Today, Causal Labs, the AI company pioneering physics-based models to address civilization-scale challenges, is announcing it has raised $6 million in seed funding ...