The causal AI market presents significant opportunities in consulting and cloud services due to demand for causal inference ...
Machine learning algorithms are widely used for decision making in societally high-stakes settings from child welfare and criminal justice to healthcare and consumer lending. Recent history has ...
Originally called the Journal of the Statistical Society of London when founded in 1838 and renamed the Journal of the Royal Statistical Society when the Society was granted its Royal Charter in 1887, ...
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
The momentum of AI-driven applications is accelerating around the world and shows little sign of slowing. According to data from IBM, 42% of companies with more than 1000 employees are actively using ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
What’s the link between ice cream sales and crime rates? Let’s say an overzealous rookie reporter finds that ice cream sales and crime rates tend to increase and decrease together. This can suggest a ...
This paper describes threats to making valid causal inferences about pandemic impacts on student learning based on cross-year comparisons of average test scores. The paper uses Spring 2021 test score ...
TORONTO--(BUSINESS WIRE)--Untether AI ®, the leader in energy-centric AI inference acceleration, today announced broad availability of its highly anticipated speedAI 240 Slim AI inference accelerator ...
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