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The widely used machine-learning technique known as LASSO relegates smaller market events to an ignored “inactive zone”. How can that be a good thing for ambitious asset traders? Bo Hu, assistant professor of finance, explores the logic (and illogic) behind LASSO’s popularity and power.

In-process work by Jingyuan Yang, a professor of information systems and operations management at ��ɫ��Ƶ, suggests that downward redistribution of high-value opportunities can increase performance outcomes as well as fairness.

Illicit massage businesses (IMBs) run by human trafficking rings are rampant in the United States. A George Mason professor has helped build what may be the best AI-driven tool to root them out.

A pair of ��ɫ��Ƶ professors are helping needy nonprofits refine their messaging strategies with the help of customized chatbots.

Human trafficking is a global crisis of overwhelming scope. Fortunately, anti-trafficking organizations can use AI to predict the criminals’ next moves–with the help of a ��ɫ��Ƶ professor.