Test-takers must understand causal arguments and how to distinguish them from statements of conditional logic.

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

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

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

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

Causal inference is the task of drawing conclusions from data about the effects of treatments and other type of interventions. In epidemiology and clinical research, as well as in many other fields, ...

However, the empirical evidence on the effectiveness of these courses is limited. In this study, we estimate the causal effects of an ethnic studies curriculum piloted in several San Francisco high ...

Announcing a new article publication for Cardiovascular Innovations and Applications journal. Aortic dissection is a life-threatening condition with complex immunological underpinnings.