Long-chain reasoning is one of the most compute-intensive tasks in modern large language models. When a model like DeepSeek-R1 or Qwen3 works through a complex math problem, it can generate tens of ...

For those who tried (or were even afraid to begin) to learn VEX but failed and stopped because it was too hard. Here you will learn VEX and applied math starting from the basics. From general to ...

This post was sponsored by MarketBrew. The opinions expressed in this article are the sponsor’s own. Is Google using AI to censor thousands of independent websites? Wondering why your traffic has ...

In today’s post, I’m sharing with you a meticulously curated collection of some of the best math websites and platforms. This list is indeed the result of several updates and feedback from the vibrant ...

Vectors and Matrices are fundamental data structures in AI, used to represent data points, images, and more. Performing operations on matrices, including addition, subtraction, multiplication, and ...

In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a tool for various engineering applications. Recent developments in tensor algebra have ...

We present an overview of the key ideas and skills necessary to begin implementing tensor network methods numerically, which is intended to facilitate the practical application of tensor network ...

This is a very simple (and NOT a highly optimized and secure) implementation of AES only written to teach you the BASICS of this algorithm. I used a tutorial previously available on progressive-coding ...

Math 307 is a theoretical course in linear algebra, geared primarily for students majoring in mathematics, mathematics and physics, and applied mathematics. (Although everyone is welcome, if you're ...