Investigating interference or spillover effects among units is a central task in many social science problems. Network experiments are powerful tools for this task, which avoids endogeneity by ...

Former Juniper Networks CTO Raj Yavatkar has unveiled his next endeavor: a startup building silicon focused entirely on inference. Dubbed Ludwig Computing, the upstart is designing “probability-native ...

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 ...

As AI workloads shift from centralized training to distributed inference, the network faces new demands around latency requirements, data sovereignty boundaries, model preferences, and power ...