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Why Latent AI has an Edge over Edge AI? 
Listing ID: 41954
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Why Latent AI has an Edge over Edge AI.jpg

Latent AI reduces the latency by minimizing and sometimes complexly bypassing—the need for a distant data center. Edge AI takes a different tack; it runs algorithms locally on chips and specialized hardware, rather than in distant clouds and remote data centers. Where user and edge devices have widely varying computation resources.

What is Edge AI, should it be in your roadmap for 2020?

We have seen the shift from centralized server to PCs to cloud, presently, the cloud is moving to Edge, as is AI. However, it doesn't imply that cloud is becoming unimportant. It is still relevant, and the fact is, disruptive technologies like IoT will act as the smart extensions of cloud computing. In Edge AI, the AI calculations are handled locally on equipment gadget, without requiring any association. It utilizes information that is created from the gadget and cycles it to give ongoing experiences in under couple of milliseconds.

Why Latent AI has an Edge over Edge AI?

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Listing ID: 41954
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