The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...
Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
In the current age of nanoscience, charge quantization has enabled the manipulation of single electrons in nanostructures, with applications in metrology, sensing and thermometry4. These ...
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