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

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 ...

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 ...

Moreover, the institution has fostered a culture of research and inquiry, encouraging students to engage in projects that push the boundaries of mathematical knowledge. For example, recent initiatives ...

Originally, we analyzed and predicted refining margins manually using Excel, but now we’ve built a visualized data system by ...

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

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

If the recent news of a new mathematics and statistics curriculum for years 0–10 felt familiar, that's because it was.

Learn how a max win actually works in online slots, and why even the most feature-rich slots make hitting max wins a very rare ...