A paper from Google could make local LLMs even easier to run.

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 ...