APPROXIMATE COMPUTING AND DATA REUSE ARCHITECTURES FOR AI EDGE DEVICES

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United States of America Patent

APP PUB NO 20230368017A1
SERIAL NO

18042994

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Abstract

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A method can be used to reduce the memory storage and energy used by deep neural networks. The method can include determining the weights associated with the deep neural network. An input feature map can be received and used with the weights to generate approximated weights. Using the approximated weights and the input feature map a convolution inference can be performed.

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Patent Owner(s)

Patent OwnerAddress
KHALIFA UNIVERSITY OF SCIENCE AND TECHNOLOGYP O BOX 127788 ABU DHABI

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
AL-QUTAYRI, Mahmoud Abu Dhabi, AE 12 40
MOHAMMAD, Baker Abu Dhabi, AE 30 235
SALEH, Hani Abu Dhabi, AE 4 3
TOLBA, Mohammed F Abu Dhabi, AE 1 0

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