Machine learning ... vehicles where the inference processing cannot be dependent on links to some data center that would be prone to high latency and intermittent connectivity. The table above also ...

Membership inference is also highly associated with “overfitting,” an artifact of poor machine learning design and training. An overfitted model performs well on its training examples but ...

Processor hardware for machine learning is in their early stages but it already taking different paths. And that mainly has to do with dichotomy between training and inference. Not only do these two ...