Also known as "quantization noise." See quantization. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction requires permission.

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 ...

Quantization is a method of reducing the size of AI models so they can be run on more modest computers. The challenge is how to do this while still retaining as much of the model quality as ...

One of the most direct manifestations of quantum mechanics is quantization. Quantization results in the discrete character of physical properties at small scales, which could be the radius of an ...

It’s a counterintuitive result that you might need to add noise to an input signal to get the full benefits from oversampling in analog to digital conversion. [Paul Allen] steps us through a ...