Most “old” people use artificial intelligence, or AI, like Google. They ask a question, AI answers. That is the simplest, most basic use of a tool that is slowly shaping our lives, whether we ...

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

All eyes are on the chip maker as it prepares a full-court press into a new process technology, spearheaded by chips for laptops, as well as for the data center. Here's the download on what's new in ...

This project explores the optimization of matrix multiplication using parallel computing techniques such as multithreading. Traditional matrix multiplication has a time complexity of O(n³), which ...

Abstract: We demonstrate an optical general matrix multiplication using incoherent light source and wavelength multiplexing to multiply two two-dimensional matrices with positive and negative elements ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...