公开(公告)号：US20200045036A1

公开(公告)日：2020-02-06

申请号：US16530456

申请日：2019-08-02

Applicant: LG ELECTRONICS INC.

Inventor： Sanghee LEE ,  Sungmin KIM ,  Sungmin PARK ,  Jemin Woo ,  Kiyoung LEE

IPC: H04L29/06 ,  G06F3/06 ,  G11C29/52

Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes: a non-volatile memory having no internal controller; and a controller configured to: control the non-volatile memory, and transmit, to the non-volatile memory, first data and a generated first message authentication code (MAC). Accordingly, it is possible to efficiently defend against a replay attack in a non-volatile memory having no internal controller.

公开(公告)号：US11588811B2

公开(公告)日：2023-02-21

申请号：US16530456

申请日：2019-08-02

Applicant: LG ELECTRONICS INC.

Inventor： Sanghee Lee ,  Sungmin Kim ,  Sungmin Park ,  Jemin Woo ,  Kiyoung Lee

IPC: H04L9/40 ,  G06F3/06 ,  G11C29/52

Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes: a non-volatile memory having no internal controller; and a controller configured to: control the non-volatile memory, and transmit, to the non-volatile memory, first data and a generated first message authentication code (MAC). Accordingly, it is possible to efficiently defend against a replay attack in a non-volatile memory having no internal controller.

公开(公告)号：US11615287B2

公开(公告)日：2023-03-28

申请号：US16777729

申请日：2020-01-30

Applicant: LG ELECTRONICS INC.

Inventor： Byoungjoo Lee ,  Jemin Woo ,  Jinjong Lee ,  Jungsig Jun

IPC: G06N3/04 ,  G06N3/10 ,  G06N3/08

Abstract: The present disclosure relates to an artificial intelligence chip for processing computations for machine learning models that provides a compute node and a method of processing a computational model using a plurality of compute nodes in parallel. In some embodiments, the compute node, comprises: a communication interface configured to communicate with one or more other compute nodes; a memory configured to store shared data that is shared with the one or more other compute nodes; and a processor configured to: determine an expected computational load for processing a computational model for input data; obtain a contributable computational load of the compute node and the one or more other compute nodes; and select a master node to distribute the determined expected computational load based on the obtained contributable computational load. Consequently, learning and inference can be performed efficiently on-device.

公开(公告)号：US11769047B2

公开(公告)日：2023-09-26

申请号：US16924951

申请日：2020-07-09

Applicant: LG ELECTRONICS INC.

Inventor： Dongyeon Shin ,  Sungmin Park ,  Jemin Woo ,  Kiyoung Lee

IPC: G06N3/10 ,  G06N20/10 ,  G06N3/08 ,  G06N20/00 ,  H05B47/11 ,  A47L9/28 ,  G06F18/241 ,  G06F18/25

CPC classification number: G06N3/08 ,  A47L9/2805 ,  G06F18/241 ,  G06F18/251 ,  G06N20/00 ,  H05B47/11

Abstract: The present disclosure discloses an artificial intelligence apparatus including an input interface configured to obtain input data, a sensing interface configured to obtain environment information, and one or more processors configured to classify an object by inputting the input data obtained from the input interface to an artificial intelligence model, in which the artificial intelligence model uses a first learning model and a second learning model which is connected with the first learning model and includes a plurality of output layers to respectively assign weights to the respective result values output by the plurality of output layers and combine the respective result values to which the weights are assigned to derive the final result.