AI News spoke with Damian Bogunowicz, a machine learning engineer at Neural Magic, to shed light on the company’s innovative approach to deep learning model optimisation and inference on CPUs.

One of the key challenges in developing and deploying deep learning models lies in their size and computational requirements. However, Neural Magic tackles this issue head-on through a concept called compound sparsity.

Compound sparsity combines techniques such as...