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

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 ...

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

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 ...

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 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 ...

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

The original “Matrix,” released in 1999, was a science fantasy in which philosophical discussion garnished the edges of the greatest martial arts movie made without the involvement of Bruce Lee. As ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...