Deep learning network compression techniques have emerged as a crucial research area, aiming to reduce the computational and storage requirements of neural networks ...

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 possible, ...

In an earlier collaborative project, Ceva worked with CERN on the trigger system of the Large Hadron Collider (LHC), a sophisticated real-time filtering mechanism that deals with the torrent of ...

Dnotitia Inc. (Dnotitia), a leading AI and semiconductor company, today announced the release of an open-source platform for evaluating AI quantization techniques. Jointly developed through an ...