Queueing networks are stochastic systems formed by interconnected resources routing and serving jobs. They induce jump processes with distinctive properties, and find widespread use in inferential ...
Diverse communities like economics, social science, and computer science use network models for understanding the impact of interconnections between various entities on their actions. Moreover, many ...
Diverse communities like economics, social science, and computer science use network models for understanding the impact of interconnections between various entities on their actions. Moreover, many ...
The paper gives some personal recollections of the development of mathematical probability theory and its applications to statistical inference during the twenty years between the two world wars, ...
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 move from centralised training to distributed inference, the industry’s fibre infra challenge is changing ...
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