The second batch of “First Proof” problems is meant to evaluate AI’s usefulness for research-level math. The best model got ...

Making partner at a litigation boutique often involves showing the ability to handle the less glamorous assignments, learn ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Thinking about XCEL for your insurance license prep? Here’s what to expect from the platform, study tools, mobile setup, and ...

While the model is often the first suspect for AI pilots stalling, the architecture is the more likely culprit.

The winning AI wasn't the one with the better workbook—it was the one with the better blueprint.

Companies are shifting from running everything on the most powerful AI model to matching each task to the right one, a ...

With the adoption of artificial-intelligence agents becoming more widespread among businesses, some of the most avid corporate users are racing to avoid the issues that come with having too many ...

Critics of artificial intelligence caution that, as a relatively new technology, its long-term effects on the human brain are still unknown. But a new study shows that AI could be dangerous even in ...

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. New data shows major differences across the United States in drug use, ...

Every few months, the enterprise AI conversation resets around the same flawed premise that better models solve the problem. When large language models hallucinate, the instinct is to reach for a ...

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...