Samsung Electronics Co., Ltd.

Jun-seok Park

Jae-gon Lee

Jin-ook Song

Yun-kyo Cho

Jae-Hyun Park

Jean Hur

Myung-ryul Jung

Yong-dok Cha

Sang-ik Kim

Pil-yong Oh

Kyung-do Park

Sung-je Woo

Boing-jo Kang

Jae-geun Lim

Ha-ryun Lee

A neural network processing unit may be configured to perform an approximate multiplication operation and a system on chip may include the neural network processing unit. The neural network processing unit may include a plurality of neural processing units and may perform a computation based on one or more instances of input data and a plurality of weights. At least one neural processing unit is configured to receive a first value and a second value and perform an approximate multiplication operation based on the first value and the second value and is further configured to perform a stochastic rounding operation based on an output value of the approximate multiplication operation.

Neural network processing unit including approximate multiplier and system on chip including the same

An integrated circuit included in a device for performing a neural network operation includes a buffer configured to store feature map data in units of cells each including at least one feature, wherein the feature map data is for use in the neural network operation; and a multiplexing circuit configured to receive the feature map data from the buffer, and output extracted data by extracting feature data of one of features that are included within a plurality of cells in the received feature map data, the features each corresponding to an identical coordinate value.

Integrated circuit that extracts data, neural network processor including the integrated circuit, and neural network device

A neural network device may generate an input feature list based on an input feature map, where the input feature list includes an input feature index and an input feature value, generating an output feature index based on the input feature index corresponding to an input feature included in the input feature list and a weight index corresponding to a weight included in a weight list, and generating an output feature value corresponding to the output feature index based on the input feature value corresponding to the input feature and a weight value corresponding to the weight.

Neural network devices and methods of operating the same

A method of operating a neural network device configured to perform a neural network operation on successively input image frames includes generating, by a processing circuit, a second delta feature map by performing a linear operation on a first delta feature map generated based on a difference between a current image frame and a previous image frame; loading feature values as a second previous feature map onto the processing circuit from at least one memory, the loaded feature values being feature values corresponding to a first partial region to be updated in a first feature map stored in the at least one memory; generating, at the processing circuit, a second current feature map based on the second delta feature map and the second previous feature map; and updating the first feature map by storing the second current feature map in the at least one memory.

Apparatus for performing neural network operation and method of operating the same

In a method of operating a neural network device, a plurality of consecutive input data is received by an input layer. A delta data is generated by the input layer based on a difference between a current input data and a previous input data. A first current feature is generated by a first linear layer based on a first delta feature generated by performing a first linear operation on the delta data and a first previous feature. A second delta feature is generated by a first nonlinear layer based on a second current feature generated by performing a first nonlinear operation on the first current feature and a second previous feature. A third current feature is generated by a second linear layer based on a third delta feature generated by performing a second linear operation on the second delta feature and a third previous feature.

Neural network device and method of operating neural network device

An electronic device is provided. The electronic device includes a controller configured to transition the electronic device into a sleep mode, and a communication interface configured to establish a network session with the external computing device when the electronic device into the sleep mode, wherein the communication interface is configured to maintain the network session with the external computing device when the electronic device is in the sleep mode, and to transition the electronic device into a non-sleep mode in response to a signal, for requesting that the electronic device gets out the sleep mode, being received through the maintained network session.

Remotely controllable electronic device and system including the same

The projector according to an exemplary embodiment includes an optical system which forms, expands, and projects the image, and includes at least one light source; a light source dissipation unit for dissipating heat generated by the light source; a plurality of circuit boards for operating the projector; an intake unit having an intake opening where external air is received; an exhaust unit having an exhaust opening where the received air is expelled; and a flow path dividing unit which divides a cooling flow path formed between the intake opening and the exhaust opening into an upper cooling flow path and a lower cooling flow path, wherein the light source dissipation unit is placed on the upper cooling flow path and at least one of the plurality of circuit boards is placed on the lower cooling flow path.

Projector and display apparatus having the same

A backlight unit including: a light emitting diode (LED) module including a metal substrate and an LED which is disposed on a first side of the metal substrate; a frame on which the LED module is mounted; a first mounting portion formed lengthwise on the LED module; and a second mounting portion formed on the frame, the second mounting portion remaining within a width of the LED module.

Backlight unit and liquid crystal display having the same

A focus adjustment device for adjusting a focus state of a projection lens unit in an image projection apparatus is provided. The focus adjustment device includes a focus adjustment member rectilinearly movable in a first direction; a rotational shaft; a first movement-converting member for converting a rectilinear movement of the focus adjustment member into a rotary movement of the rotational shaft; and a second movement-converting member for converting the rotary movement of the rotational shaft into in a rectilinear movement of the projection lens unit along a focusing direction.

Focus adjustment device for use in portable image projection apparatus

A fan assembly includes a fan, a supporting case to support at least a part of the fan along a circumferential direction of the fan, and a vibration-proof member having at least one opening passing through a side thereof and interposed between the fan and the supporting case, to prevent noise from being generated from the fan. The fan assembly can efficiently prevent or dampen vibration generated by the fan and reduce noise.

Growing community of inventors

Suwon-si, South Korea

Jun-seok Park