Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...
Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...
Let $C$ be a simple closed Liapounov contour in the complex plane and $A$ an invertible $n \times n$ matrix-valued function on $C$ with bounded measurable entries ...
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