Why Apple And Microsoft Are Moving AI To The Edge

#News(General) [ via IoTGroup ]

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Why Apple And Microsoft Are Moving AI To The Edge
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Artificial intelligence (AI) has traditionally been deployed in the cloud, because AI algorithms crunch massive amounts of data and consume massive computing resources.
In many situations, AI-based data crunching and decisions need to be made locally, on devices that are close to the edge of the network.
What are the benefits and drawbacks of AI at the edge versus AI in the cloud?
To understand what the future holds for AI at the edge, it is useful to look back at the history of computing and how the pendulum has swung from centralized intelligence to decentralized intelligence across four paradigms of computing.
It only makes sense that AI applications would be housed in the cloud, since the computation power of AI algorithms has increased 300,000 times between 2012 and 2019—doubling every three-and-a-half months.
For one, cloud-based AI suffers from latency—the delay as data moves to the cloud for processing and the results are transmitted back over the network to a local device.
In these situations, AI must be located at the edge, where decisions can be made faster without relying on network connectivity and without moving massive amounts of data back and forth over a network.
When decisions require massive computational power and do not need to be made in real time, AI should stay in the cloud.
For example, when AI is used to interpret an MRI scan or analyze geospatial data collected by a drone over a farm, we can harness the full power of the cloud even if we have to wait a few minutes or a few hours for the decision.
When AI algorithms are built and trained, the process requires massive amounts of data and computational power.
In inference mode, the algorithm leverages its training to make less computation-intensive decisions at the edge of the network.
AI in the cloud can work synergistically with AI at the edge.
AI at the edge powers countless decisions in real time such as braking, steering, and lane changes

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