Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

OpenAI’s recent GPT-5 demo has been marred by a series of math errors and hallucinations, raising concerns about the model’s ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, ...

I created a kicker score to summarize both the season’s actual and predicted values into a single number. Each field goal ...

How sports betting monitors used math to catch Terry Rozier and dozens of others accused of fixing bets on basketball.

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is ...

While pretraining introduces unavoidable statistical errors, the study argues that post-training and evaluation practices ...

One month into the school year, my math classroom is buzzing with familiar rhythms: assessments, routines and students still ...

As a mathematician who tries to keep up with politics regularly, it may come as a surprise that I am not a huge fan of political polling. Granted, there are tons of exciting mathematical questions at ...

For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that ...

Examining mistakes gives students a chance to discuss misconceptions openly and find new approaches to solving problems.