Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...

A new post on Apple’s Machine Learning Research blog shows how much the M5 Apple silicon improved over the M4 when it comes to running a local LLM. Here are the details. A couple of years ago, Apple ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

As a PowerShell developer, I'm often seeking to iterate thru a ratio of a list or string. For example, if I wanted to copy all half of the points in a Turtle, I have ...

As a PowerShell user and developer, I often want to reverse an array or string. As a developer who has been using array multiplication to pretty great effect in Turtle, I think it would be ...

Abstract: A fault-tolerant array for matrix multiplication that explicitly incorporates mechanisms for easy testability and reconfigurability is described. All signals in the array travel only a ...

In a land where people have forgotten how to do maths, our superheroes, Multiplication Boy and Division Girl, are called upon to save confused citizens from their maths-based predicaments!

Abstract: For precise beam analysis of a radiating phased array, it is essential to account for mutual coupling and array edge effect. However, the traditional pattern multiplication principle ...

Computer scientists have discovered a new way to multiply large matrices faster by eliminating a previously unknown inefficiency, leading to the largest improvement in matrix multiplication efficiency ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...