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 ...

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 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 ...

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

Computers built with analogue circuits promise huge speed and efficiency gains over ordinary computers, but normally at the ...

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 ...

Up until now, the simulation hypothesis was deemed to be un-testable in philosophy and science and often dismissed as pure ...

IMOU, a leading smart IoT solution and service provider, is today launching IMOU SENSE, its self-developed AI algorithm matrix with a tagline of “So Smart, So Accurate”. IMOU SENSE has been developed ...