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RRAM-based analog computing system rapidly solves matrix equations with high precision
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
This idea was once thought to lie beyond the reach of scientific inquiry,” said physicist Mir Faizal of the University of British Columbia.
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 research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...
The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks. DeepMind has used its board-game ...
Up until now, the simulation hypothesis, which has occasionally received backing from the likes of Elon Musk and Neil deGrasse Tyson, was deemed to be un-testable in philosophy and science and often ...
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...
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