Cracking the code to becoming an AI genius isn't about shortcuts—it’s a marathon of mathematical rigor, deep learning mastery ...

PDF for mathematics from the official Punjab Board website. Access chapter-wise details for mathematics with the link to ...

Approaching the post-Moore's law era, researchers are looking for scalable ways to get useful computation from existing silicon technology. This article presents a programmable analog accelerator for ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what ...

Gaussian Elimination The general procedure learned to solve a system of linear equations is Gaussian elimination. The goal is to apply row operations to "eliminate" all the variables except for one in ...

Matrix multiplications (MatMul) are the most computationally expensive operations in large language models (LLM) using the Transformer architecture. As LLMs scale to larger sizes, the cost of ...

This is reflected in a wealth of examples, the clarity of writing and the organization of material. There is a growing need for knowledge of linear algebra that goes beyond the basic skills of solving ...

Terence Tao, who has been called the “Mozart of Mathematics,” wrote an essay in 2007 about the common ingredients in “good” mathematical research. In this episode, the Fields Medalist joins Steven ...