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IEEE Transactions on Neural Networks and Learning Systems
Doi
Abstract
The volume, veracity, variability and velocity of data
produced from the ever increasing network of sensors connected
to Internet pose challenges for power management, scalability
and sustainability of cloud computing infrastructure. Increasing
the data processing capability of edge computing devices at
lower power requirements can reduce several overheads for cloud
computing solutions. This paper provides the review of neuro morphic CMOS-memristive architectures that can be integrated
into edge computing devices. We discuss why the neuromorphic
architectures are useful for edge devices and show the advantages,
drawbacks and open problems in the field of neuro-memristive
circuits for edge computing
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