米MITに所属する研究者らがPhysical Review Appliedで発表した論文「Thermal analog computing: Application to matrix-vector multiplication with inverse-designed ...

ハードウェアの廃熱はさまざまな問題を起こすことがあり、一般的に不要なものと見なされがちです。ところがマサチューセッツ工科大学(MIT)の研究チームは、電気の代わりに余剰熱を利用して計算を実行できるシリコン構造を開発したと報告しました。

A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...

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 ...

Mathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try to find the most efficient way to do it.

If \(A\) is a \(3\times 3\) matrix then we can apply a linear transformation to each rgb vector via matrix multiplication, where \([r,g,b]\) are the original values ...