Food scientists at the National University of Singapore (NUS) have used machine learning to sift through more than 2,300 ...
Abstract: Geo-Distributed Machine Learning (GDML) aims to train large-scale machine learning models across geographically dispersed datacenters. However, the performance of GDML systems is constrained ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
Abstract: Network simulation is pivotal in network modeling, assisting with tasks ranging from capacity planning to performance estimation. Traditional approaches such as Discrete Event Simulation ...