Could the deepest laws of nature ever be reduced to lines of code? A team of physicists from Canada, the United States, the ...

Let's delve into the fascinating world of matrix manipulation, specifically focusing on the concept of pivoting a matrix ...

This idea was once thought to lie beyond the reach of scientific inquiry,” said physicist Mir Faizal of the University of British Columbia.

What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an ...

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

A new technique that efficiently retrieves scattered light from fluorescent sources can be used to record neuronal signals coming from deep within the brain. The technique, developed by physicists at ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

A new study suggests that, at least mathematically speaking, the idea doesn’t hold up, as some facets of reality can’t be ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...