Tag Archives: NRIG

Workshop on Data for AI in Network Systems

Network systems have long relied on data — traffic measurements, system configurations, demand predictions, etc. — for planning, engineering, operations, and trouble-shooting purposes. In the era of artificial intelligence (AI), data will be even more directly driving the network systems where AI methods are employed. A plethora of recent programs at NSF and across federal […]

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RENCI to help guide effort to improve the efficiency of drone applications by leveraging edge, in-network, and cloud computing

The Renaissance Computing Institute (RENCI) at the University of North Carolina at Chapel Hill will collaborate on a $749,998, two-year effort to develop new architectures and tools for the safe, efficient, and economic operation of drones. The funding was awarded by the National Science Foundation (NSF).

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