Pop count-based deep learning neural network computation method, multiply accumulator and device

    公开(公告)号:US12260188B2

    公开(公告)日:2025-03-25

    申请号:US17254254

    申请日:2020-11-30

    Abstract: The present invention relates to a pop count-based deep learning neural network computation method, a multiply accumulator, and a device thereof. The computation method according to an exemplary embodiment of the present invention is a computation method for a deep learning neural network, including a step of generating one-hot encoding codes according to the type of first multiplication result values for a multiplication (first multiplication) of weights (W) and input values (A); a step of performing a pop-count for each generated code; and a step of accumulating result values for a constant multiplication (second multiplication) between each type of the first multiplication result value and each count value of the pop-count which are different constant values.

    Technology of assisting context based service

    公开(公告)号:US10152724B2

    公开(公告)日:2018-12-11

    申请号:US14548601

    申请日:2014-11-20

    Abstract: A method of providing a context based service is performed by a user terminal. The method includes: generating a user profile about at least one entity; providing user profile characteristic information obtained or inferred from the user terminal associated with the at least one entity; and controlling to provide a user description generated based on the user profile and the user profile characteristic information to a recommendation engine for a required service if a recommendation of a context based service is required to the at least one entity, the recommendation engine performing a service recommendation according to a situation of the at least one entity.

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