Titlebook: Artificial Intelligence for Edge Computing; Mudhakar Srivatsa,Tarek Abdelzaher,Ting He Book 2023 The Editor(s) (if applicable) and The Aut

OMIT

Model Operationalization at Edge Devicesing and deploying the optimal models in production. This allows for the organization to accelerate their end to end pipeline from capturing the data from different sources and applying governance policies on the data to continuously monitoring the best candidate models deployed in production environ

Adenoma

Book 2023ns, ranging from health to defense and from conversational interfaces to autonomous cars. With terms such as “Google Home”, “Alexa”, and “ChatGPT” becoming household names, the pervasive societal impact of AI is clear. Advances in AI promise a revolution in our interaction with the physical world, a

分開(kāi)

rforming AI tasks at the network edge in contrast to mainstr.It is undeniable that the recent revival of artificial intelligence (AI) has significantly changed the landscape of science in many application domains, ranging from health to defense and from conversational interfaces to autonomous cars.

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高調(diào)

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背景

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人工制品

https://doi.org/10.1007/978-94-011-0131-8of edge clouds. Different problem formulations differ in terms of the performance objective, the types of resources considered, and the forms of resource constraints, which all originate from the different application scenarios of interest. These differences in turn lead to differences in the problem complexities and the applicable solutions.