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1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Theoretically, AI agents can surf the web, access datasets through APIs, write and execute code, conduct online transactions, ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.