Yonsei University

Lg Electronics Inc.

Chanho Park

Cheolmin Park

Jong Sung Kim

Jooyoung Lee

Dongha Lee

Kyunghee Kim

William Jinho Song

Eui Hyuk Kim

Taehui Yun

Giyoung Song

Sun Man Cho

Bogil Kim

Taesoo Lim

Gaehwan Cho

Semin Koong

Provided is a control method of a deep neural network (DNN) accelerator for optimized data processing. The control method includes, based on a dataflow and a hardware mapping value of neural network data allocated to a first-level memory, calculating a plurality of offsets representing start components of a plurality of data tiles of the neural network data, based on receiving an update request for the neural network data from a second-level memory, identifying a data type of an update data tile corresponding to the received update request among the plurality of data tiles, identifying one or more components of the update data tile, based on the data type of the update data tile and an offset of the update data tile among the calculated plurality of offsets, and updating neural network data of the identified one or more components between the first-level memory and the second-level memory.

Deep neural network accelerator for optimized data processing, and control method of the deep neural network accelerator

The present invention relates to a liquid information sensor comprises at least more than one electrode set including a first electrode, and a second electrode which is disposed spaced apart from the first electrode and to which an alternating current signal is applied between the first electrode and the second electrode; and a ferroelectric layer including a first side in contact with the first electrode and the second electrode and a second side facing the first side and defining a receiving area for receiving the target liquid, and generating sound waves by physical vibration when the AC signal is applied.

Liquid information sensor and method of driving the same

Disclosed is an electronic device for a vehicle, including a processor receiving first image data from a first camera, receiving second image data from a second camera, receiving first sensing data from a first lidar, generating a depth image based on the first image data and the second image data, and fusing the first sensing data for each of divided regions in the depth image.

Electronic device for vehicle and method of operating electronic device for vehicle

The present invention relates to a nano-porous thin film comprising a supramolecular structure having a skeleton, a first compound block and a second compound block including a functional group is self-assembled to form a spherical micelle, the first compound block constitutes a core of the spherical micelle, and the second compound block constitutes a shell of the spherical micelle, the first compound block is removed from the spherical micelle while the second compound is remaining so that the remaining second compound provide the skeleton of the supramolecular structure, the supramolecular structure comprises pores formed therein, and metal ions selectively bonded to the functional group.

Nano-porous thin film, methods of fabricating thereof and triboelectric generator using the same

Growing community of inventors

Seoul, South Korea

Chanho Park