A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

We’ve blown past the Turing test, but "indistinguishable" isn’t "equivalent." Psychology must continue to learn from people, ...

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

The Beneish model was designed by M. Daniel Beneish to quantify eight variables that can indicate that a company is misrepresenting its profits. Here’s how it works.

Maternal mortality remains disproportionately high in low-income and middle-income countries, where pyramidal health systems ...

In a new study, University of Rhode Island Ph.D. graduate Kyle McElroy and Marine Affairs Professor Austin Becker explore the role of data and biases, as well as the challenges and decision-making ...

In order to open the revamped dining facility, the Army had to obtain numerous waivers from current law and DoD policy.

AI models are trained on massive amounts of data. But that training doesn’t do much good without what’s known as “reinforcement learning,” a process that involves human experts teaching models the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

For Joe Powell (pictured), chief digital officer at Gallagher Bassett, that framing reshaped how the organization approached innovation across its claims operation, from frontline adjuster workflows ...