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Edge-comp meets digital twins to boost IoT analytics and event processing

Edge computing and digital twins were hot topics at the recent AI World conference in Boston, highlighting the growing role of infrastructure and hardware architecture in advanced computing. The two concepts are themselves intimately related, to the extent that some pundits are betting on their combination yielding the next big tech giant. That edge computing featured prominently at the conference was little surprise, given that AI and machine learning applications consume large amounts of data often collected from distributed IoT devices where network bandwidth and latency can be major constraints, as well as more arguably data privacy. Edge processing can meet these three challenges although it also brings others including potentially higher hardware costs because economies of scale can be…

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