A new study has suggested that the idea of our universe being a simulation does not hold up at all, and it’s not because of a ...

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 ...

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

AS a finite dimensional linear space over the rational number field ℚ, an algebraic number field is of particular importance and interest in mathematics and engineering. Algorithms using algebraic ...

A Hong Kong-based Matrix AI Network is developing a prototype of a new hybrid PoS/PoW consensus algorithm. This update was shared with Cointelegraph by Owen Tao, the company’s CEO. Tao described ...

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