The quantum layer will will not be exhausted by one hardware modality, one algorithmic framework or one vendor’s roadmap.

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 ...

Model quantization bridges the gap between the computational limitations of edge devices and the demands for highly accurate models and real-time intelligent applications. The convergence of ...

Even if your data is encrypted now, your company would still face a detrimental impact if it were stolen today and decrypted ...

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 ...

IBM and an international team of researchers have used a quantum computer to accurately simulate the electronic structure of ...

The Big Bang refers to that gigantic explosion responsible for setting up the universe to grow into the world we observe ...