National, Aug. 5 -- to-use models (six for equity and ten for F&O) that enable clients to automate their trades based on predefined rules, without needing to build strategies or code on their own.

Discover how financial platforms build machine learning pipelines, create synthetic features, cut fraud, and manage development costs effectively.

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

Algorithmic bias can create and exacerbate health disparities. Famously, in 2019 Obermeyer and colleagues showed that an algorithm that used predicted health-care costs as a proxy for health-care ...

Chalice AI COO Ali Manning explains how the AI startup is helping brands use advertiser-specific bidding models to drive real ...

Earth System Models—complex computer models that describe Earth processes and how they interact—are critical for predicting future climate change. By simulating the response of our land, oceans and ...

As we attempt to build AI models that achieve fairness, approaches to protecting marginalized groups like differential and disparate impact are considered. However, when you dig into the stats, these ...

A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate ...