It’s July 20, 1969. Neil Armstrong and Buzz Aldrin are about to land on the moon. They will be the first humans to set foot ...

What they are: A logarithm is the exponent you raise a base to in order to get a number, acting as the inverse of exponentiation. Why they matter: They simplify multiplication, division, and roots ...

Why it matters: Linear algebra underpins machine learning, enabling efficient data representation, transformation, and optimization for algorithms like regression, PCA, and neural networks. Python ...

Debates over how geometry is understood and learned date back at least to the days of Plato, with more recent scholars concluding that only humans possess the foundations of this understanding.

In March 2025, mathematician Daniel Litt made a bet. Despite the march of progress of artificial intelligence in many fields, he believed his subject was safe, wagering with a colleague that there was ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

If you’ve been watching the tech news lately, there’s just one story you’ve probably seen… Black Friday. But if you’ve seen two stories, you’ve probably read about RAM prices going absolutely ...

The New York State Education Department is pushing new math guidelines, including a recommendation that teachers stop giving timed quizzes — because it stresses students out. The new guidelines also ...

Each summer, the “Summer Math Scholarship” is awarded to one UB Mathematics major. The scholarship allows the recipient to pursue individual research with a faculty mentor. The six-week, full-time, ...

Recent advancements in LLMs such as OpenAI-o1, DeepSeek-R1, and Kimi-1.5 have significantly improved their performance on complex mathematical reasoning tasks. Reinforcement Learning with Verifiable ...

Abstract: Linear systems involved in engineering and scientific calculations can be more easily analyzed using similarity transformation. However, understanding the numerous abstract linear algebra ...