The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

Decision making often requires simultaneously learning about and combining evidence from various sources of information. However, when making inferences from these sources, humans show systematic ...

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 ...

Brain imaging illustrates that the same region of the brain is used for thoughts of self and similar others. Researchers have shown that we use the region of the brain associated with introspection to ...

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 California Office of Attorney General (OAG) on March 10, 2022, issued its first opinion interpreting the California Consumer Privacy Act (CCPA), addressing when ...

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.