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 ...