The need for real-time decision making is pushing AI closer to the edge.

Running AI algorithms on edge devices — like a smartphone or a car or even a wearable device — instead of communicating with a central cloud or server gives devices the ability to process information locally and respond more quickly to situations.

Main companies, along with a number of emerging startups, are focused on building chips exclusively for AI workloads at the “edge.”

From consumer electronics to telecommunications to medical imaging, edge AI has implications for every major industry...