The increasing adoption of AI in edge devices, coupled with a growing demand for new features, is forcing chipmakers to rethink when and where data gets processed, what kind of processors to use, and how to build enough flexibility into systems to span multiple markets.
Unlike in the cloud, where the solution generally involves nearly unlimited resources, computing at the edge has sharp cons...
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