Hershey’s partnership with Aera Technology highlights how agentic AI is helping major food manufacturers predict problems, ...

Even the most technically flawless financial plan can fail—because markets aren’t the real wildcard. Behavior is. As growth pressures rise, advisors are rethinking traditional planning models to ...

Abstract: Due to the obvious randomness, pedestrian crossing behavior is hard to predict, which challenges the decision-making of autonomous vehicles (AVs). Recent solutions have been able to adapt to ...

By Steven Vaccaro, Maj. Apoorv Vohra, and Chris LovatoU.S. Army Combined Arms Support Command (CASCOM) and U.S. Army Combat ...

Precision medicine models often rely on data from Northern European populations, leading to treatment inequities. Genetic diversity is crucial for understanding disease risk and treatment efficacy, as ...

Ethics and moral principles should be at the center of actions taken in business, and an MLS degree can expand knowledge of ethical decision-making in the modern business landscape. In today's ...

For many years, I have been interested in how depressed people make decisions that keep them stuck in bad situations, isolated and passive, while perpetuating their own misery. I reject the idea that ...

In today's fast-paced digital economy, corporate decision-making is undergoing a seismic shift. The traditional reliance on historical data, experience and intuition is giving way to AI-powered ...

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...