Mid-career workers are facing real anxiety about AI. Tackling that by upskilling has been a painful but rewarding process, says Liang Kaixin.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

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

This seemingly simple line of code is the key to unlocking a treasure trove of mathematical functionalities within Python. Let's break down what this statement actually does and why it's so important.

Interactive Math Teaching Modules are 1-credit professional development courses designed for Idaho educators to engage deeply with mathematics content and pedagogy. Whether through practice-focused ...

Abstract: This paper exclusively focuses on the implementation of numerical methods, particularly the Bisection Method, Newton-Raphson Method, and Secant Method, for solving mathematical equations ...