公开(公告)号：US20210319282A1

公开(公告)日：2021-10-14

申请号：US17266781

申请日：2019-10-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Myungjoo HAM ,  Jijoong MOON ,  Jinhyuck PARK ,  Hyoungjoo AHN ,  Geunsik LIM ,  Jaeyun JUNG

IPC: G06N3/04

Abstract: The disclosure provides an electronic device and a method for controlling same. The electronic device comprises: a memory; and a processor, connected to the memory, for controlling the electronic device, wherein the processor executes at least one command stored in the memory, and is thereby capable of controlling scheduling of data processing of a plurality of artificial intelligence models on the basis of at least one of a data processing speed and a connection structure of the plurality of artificial intelligence models.

公开(公告)号：US20210073634A1

公开(公告)日：2021-03-11

申请号：US17013375

申请日：2020-09-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Geunsik LIM ,  Myungjoo HAM ,  Jaeyun JUNG

IPC: G06N3/08 ,  G06F8/40

Abstract: A server is provided. The server according to the disclosure includes a memory and a processor. The processor is configured to obtain input data to be input to a trained neural network model using a peripheral device handler, obtain output data by inputting the obtained input data to the trained neural network model via a virtual input device generated by the peripheral device handler, store the output data in a memory area assigned to a virtual output device generated by the peripheral device handler, and verify the neural network model based on the output data stored in the memory area assigned to the virtual output device.

公开(公告)号：US20230144680A1

公开(公告)日：2023-05-11

申请号：US17437320

申请日：2020-11-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jijoong MOON ,  Wook SONG ,  Sangjung WOO ,  Geunsik LIM ,  Jaeyun JUNG ,  Myungjoo HAM

IPC: G06F21/60 ,  G06N3/08 ,  G06N3/0464

CPC classification number: G06F21/602 ,  G06N3/08 ,  G06N3/0464

Abstract: An electronic apparatus and a method for controlling thereof are provided. The electronic apparatus includes a memory storing an artificial neural network and metadata including information of at least one layer in the artificial neural network, and a processor configured to: acquire a security vector based on the metadata and a security key of the electronic apparatus; map the security vector and the metadata with the security key and identification information of the artificial neural network; perform encryption on the at least one layer based on the metadata and the security vector; based on input data input to the artificial neural network, load the metadata and the security vector by using the security key and the identification information of the artificial neural network; and perform an operation between the input data and the encrypted at least one layer based on the loaded security vector and the metadata.