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 ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Animals survive in changing and unpredictable environments by not merely responding to new circumstances, but also, like humans, by forming inferences about their surroundings—for instance, squirrels ...

Imagine that you, as a manager, have two employees in similar positions, one whose personality you enjoy and one who gets on your nerves. They make the same small but significant mistake. A few months ...

The world of artificial intelligence and machine learning (AI/ML) is fragmented into different domains. Two of these domains represent splits between training and inference, and cloud versus edge.