Q: What is distributed intelligence?
A: Distributed intelligence is the result of AI processing that happens jointly on the device, edge cloud, and/or central cloud processing. A low-latency, high-reliability, and high-capacity link is essential for enabling distributed intelligence and allowing workloads to be processed in the most appropriate place. This is why 5G is so important for enabling distributed intelligence for a variety of use cases, such as extended reality (XR) and the factory of the future.
Q: What is the difference between distributed intelligence and AI?
Distributed intelligence is the result of running artificial intelligence algorithms across various computing devices, such as a phone and a server in the cloud.
Q: What is the difference between edge computing and distributed intelligence?
A: Edge computing has multiple meanings, but it is generally a specific location where the computing occurs. Distributed intelligence means that the intelligence is being created from running the AI algorithms in multiple locations by splitting the processing workloads.
