We all have the habit of trying to guess the killer in a movie before the big reveal. That’s us making inferences. It’s what happens when your brain connects the dots without being told everything ...

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 ...

Deep Learning and AI Inference originated in the data center and was first deployed in practical, volume applications in the data center. Only recently has Inference begun to spread to Edge ...

Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future ...

The vast proliferation and adoption of AI over the past decade has started to drive a shift in AI compute demand from training to inference. There is an increased push to put to use the large number ...

Training gets the hype, but inferencing is where AI actually works — and the choices you make there can make or break real-world deployments. Inferencing is an important part of how the AI sausage is ...