Math

Matrix multiplication lies at the heart of modern machine learning, powering everything from neural networks to transformer models. Its optimization can dramatically impact the performance of AI systems, potentially reducing training times from days to hours. Let's explore how we can make this fundamental operation more efficient.

Do you like to have more diverse parties in elections? Let's think about it.

Did you ever come to the point to ask yourself what's the Inner product between a vector and a Bivectors? If you did, you may noticed soon that it doesn't have any meaningful answer yet. I got interested into this problem back when I was studying Mathematical Physics course in my bachelor degree. I wrote my finding to my professor. "wooow! You defined a higher dimensional Levi-Civita-Symbol", he saied. But my invention was much useful than that! This post is the details of that invention. If you know about vectors, and bivectors, etc. I encourage you to read to the end, because this tool is simple and super useful.

Recently, there is a trend that code is not an asset. Let's think about it!