Samsung Electronics Co., Ltd.

Yongmin Tai

Chanyoung Hwang

Insang Cho

Wonjae Lee

Dohyung Kim

Youngsam Shin

Yeongon Cho

Sunghwan Jang

Jinsung Kang

Seongwook Park

Deok Jae Oh

Kyuheon Lee

An electronic apparatus is provided. The electronic apparatus includes a memory storing information on a first artificial intelligence model for identifying a type of an object included in an image and information on a plurality of second artificial intelligence models for upscaling the image and a processor connected to the memory and configured to control the electronic apparatus, and the processor is configured to input an input image to the first artificial intelligence model and identify a type of an object included in the input image, and upscale the input image by inputting the input image to one of the plurality of second artificial intelligence models based on the identified type of the object.

Electronic apparatus and controlling method thereof

A near-memory processing unit is configured to compress a page present in a normal memory space of a memory when receiving a swap-out command from a host, allocate a memory area in which the compressed page is to be stored in a compressed memory space which is a memory area previously allocated by the host, copy the compressed page into the allocated memory area, generate an entry corresponding to the compressed page, and insert the generated entry into an entry tree.

Device and method to minimize off-chip access between host and peripherals

Disclosed in a processor chip configured to perform neural network processing. The processor chip includes a memory, a first processor configured to perform neural network processing on a data stored in the memory, a second processor and a third processor, and the second processor is configured to transmit a control signal to the first processor and the third processor to cause the first processor and the third processor to perform an operation.

Processor chip and control methods thereof

An electronic apparatus may include a memory that stores first information regarding a plurality of first artificial intelligence models trained to perform image processing differently from each other and second information regarding a second artificial intelligence model trained to identify a type of an image by predicting a processing result of the image by each of the plurality of first artificial intelligence models. The electronic apparatus may further include a processor configured to identify a type of an input image by inputting the input image to the second artificial intelligence model stored in the memory, and process the input image by inputting the input image to one of the plurality of first intelligence models stored in the memory based on the identified type.

Provided are an image display device and a method of operating the same. The image display device includes a backlight unit configured to emit light towards a display panel. The image display device includes an illuminance sensor configured to obtain illuminance information associated with an area that is external to the image display device. The image display device includes a memory configured to store one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to identify a plurality of backlight control patterns, select a backlight control pattern based on the illuminance information, identify brightness information of a current frame, and adjust the brightness of the backlight unit based on the selected backlight control pattern and the brightness information of the current frame.

Growing community of inventors

Suwon-si, South Korea

Yongmin Tai