Another Hot Chips conference has ended with yet another deep learning architecture to consider. This one is actually quite a bit different in that it relies on analog computation inside flash memory ...

There are four levels of comprehension or understanding: literal (stated facts), interpretive (implied facts), critical (making judgments), and creative (evoking an emotional response or forming new ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

As more companies move to custom silicon for their customer’s workloads, Amazon has been busy on this front. They introduced the Inferentia chip in 2019 to help speed up inference learning. Then last ...

AI inference at the edge refers to running trained machine learning (ML) models closer to end users when compared to traditional cloud AI inference. Edge inference accelerates the response time of ML ...