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 ...
High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...
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 ...
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 ...
Interesting Engineering on MSN
Scientists develop matrix that works like fingerprint scanner to detect hidden objects
Their approach uses what they call a “fingerprint matrix,” a mathematical description of the unique way each object scatters ...
The inverse eigenvalue problem appears in many applications such as control design, seismic tomography, exploration and remote sensing, molecular spectroscopy, particle physics, structural analysis, ...
Matrix Executions, a leader in options trading technology, announced its latest launch of its white-label equity options algorithmic trading solutions. This product empowers broker dealers with true ...
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