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 ...

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 ...

Scientists investigated numerically the interaction between a quantized vortex and a normal-fluid. Based on the experimental results, researchers decided the most consistent of several theoretical ...

As concerns about cybersecurity continue to grow, one company is working on a new way to keep digital information safe by using the strange but powerful science of quantum physics. Quantized is ...

A Kookmin University research team presented a paper at the 29th Annual Conference on Artificial Intelligence and Statistics ...