Tensordyne Revives Logarithmic Math In A Bid To Cut AI Power Use

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.
The Next Platform

Tensordyne Converts AI Matrix Math To Logs To Crank Up Inference Oomph

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...
Ars Technica

DeepMind breaks 50-year math record using AI; new record falls a week later

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...
Yahoo Finance

Lab-Grown Neurons Say "Hello, World!" and Perform Matrix Math on Automated Platform; Intactis Bio Corp Raises $250K from Nucleus Fund

SALT LAKE CITY, March 26, 2026 /PRNewswire/ -- Intactis Bio Corp, a leader in biohybrid computing, announced a major milestone: in a controlled laboratory setting, living brain cells (neurons) ...
PC Magazine

fast matrix math

Performing math on multidimensional arrays very efficiently. For example, the Strassen algorithm uses fast matrix math on large matrices. See multidimensional array. THIS DEFINITION IS FOR PERSONAL ...
Ars Technica

DeepMind breaks 50-year math record using AI; new record falls a week later

1. Strassen's method is an important milestone in Computer Science history, largely launching the study of time complexity of algorithms. As the poster child example of a "divide and conquer" ...