Abstract: At least one embodiment provides a computing device including: a controller that receives first input data of a first data type and second input data of a second data type different from the first data type, and outputs a first signal representing the first data type, a second signal representing the second data type, and a clock signal based on the number of bits of the first input data and the second input data, and a computing circuit that performs a multiplication computation the first input data and the second input data based on the first signal, the second signal, and the clock signal and generates output data.

Abstract: The present invention relates to a method for stabilizing ceramide and to a cosmetic composition containing stabilized ceramide and, more specifically, to a method for homogenizing and stabilizing ceramide by self-assembling the ceramide together with ?-sitosterol, resveratrol, and allantoin which are other physiologically active substances using a microfluidic chip and a high pressure homogenizer, and to a technique for using ceramide and nanoparticles containing ?-sitosterol, resveratrol, and allantoin, which are produced by means of the stabilizing method, as a cosmetic material for skin moisturizing, anti-oxidation, skin inflammation relief, skin barrier enhancement, and skin itching relief.

Abstract: Disclosed is an accelerator device which includes an interface circuit that communicates with an external device, a memory that stores first data received through the interface circuit, a polar encoder that performs polar encoding with respect to the first data provided from the memory and to output a result of the polar encoding as second data, and an accelerator core that loads the second data. The first data are compressed weight data, the second data are decompressed weight data, the accelerator core is configured to perform machine learning-based inference based on the second data, and the first data are variable in length.

Abstract: Provided are a substrate treating liquid supply unit for constantly maintaining a liquid level of a nozzle of an inkjet head unit through real-time water level measurement, and a substrate treating apparatus including the same. The substrate treating liquid supply unit includes: a first reservoir connected to an inkjet head unit for jetting a substrate treating liquid onto a substrate and providing the substrate treating liquid to the inkjet head unit; a water level sensor measuring a water level of the substrate treating liquid stored in the first reservoir; and a pressure control module compensating for a pressure provided to the first reservoir based on an amount variation in the water level of the substrate treating liquid, wherein a liquid level of a nozzle of the inkjet head unit is constantly maintained.

Abstract: Provided are a laser element and a method for manufacturing the same, in which the laser element includes a first clad layer, an optical waveguide disposed on the first clad layer, a second clad layer disposed on the optical waveguide, a first electrode disposed on the second clad layer, and a dummy clad disposed on the optical waveguide and apart from the second clad layer and the first electrode.

Abstract: There are provided an apparatus and a method for reconstructing a 3D human object in real time based on a monocular color image. A 3D human object reconstruction apparatus according to an embodiment extracts a pixel-aligned feature from a monocular image, extracts a ray-invariant feature from the pixel-aligned feature, generates encoded position information by encoding position information of a point, predicts a SD of a point from the ray-invariant feature and the encoded position information which are extracted, and reconstructs a 3D human object by using the predicted SD. Accordingly, the ray-invariant feature extracted from the pixel-aligned feature, and the encoded position information are used, so that an amount of computation for predicting SDs of points of a 3D space can be noticeably reduced and a speed can be remarkably enhanced.

Abstract: A light emitting device includes a substrate; a pattern of a plurality of protrusions protruding from the substrate; a first semiconductor layer provided on the substrate; an active layer provided on the first semiconductor layer; and a second semiconductor layer provided on the active layer, in which each of the protrusions includes a first layer formed integrally with the substrate and protruding from an upper surface of the base substrate; and a second layer provided on the first layer and formed of a material different from that of the first layer.

Abstract: Disclosed is an accelerator performing an accumulation operation on a plurality of data, each being a floating point type. A method of operating the accelerator includes loading first data, finding a first exponent, which is a maximum value among exponents of the first data, generating aligned first fractions by performing a bit shift on first fractions of the first data based on the first exponent, and generating a first accumulated value by an accumulation operation on the aligned first fractions, loading second data, finding a second exponent, which is a maximum value among exponents of the second data, and generating a first aligned accumulated value by a bit shift on the first accumulated value, generating aligned second fractions by a bit shift on second fractions of the second data, and generating a second accumulated value by an accumulation operation on the aligned second fractions and the first aligned accumulated value.

Abstract: The present invention relates to humanized antibodies or antigen-binding fragments capable of binding specifically to mesothelin antigen and various uses thereof.

Abstract: Disclosed herein are a facial recognition method and apparatus based on masking. The facial recognition method based on masking includes performing detection and normalization of a face area including five landmarks in an input image, separating a face portion other than a portion covered by an obstacle in the detected face area, generating a mask corresponding to the separated face portion when there is a portion covered by an obstacle in the separated face portion, applying the mask to an image in a face image registration database and extracting a feature of a masking region, and determining whether it is an identical person based on the extracted feature value.

Abstract: Disclosed herein is an apparatus and method for counting repetitive movements based on Artificial Intelligence. The method may include generating standard movement information that includes a key pose extracted from a demonstration movement image stream based on human skeleton information, which is a set of pieces of positional information of human joints, and major joint information in the key pose and counting repetitive movements depending on whether a user movement matches the standard movement information based on human skeleton information of a user movement image stream.

Abstract: The present disclosure relates to a method for isolating, maintaining, proliferating and differentiating monoclonal cells derived from human salivary gland epithelial stem cells or progenitor cells, and a production method for extracellular vesicles for treating salivary gland diseases. More specifically, conditions for isolating monoclonal salivary gland epithelial cells through an optimized subfractionation culturing method from a small amount of major salivary gland or minor salivary gland tissue obtained during surgery or biopsy processes have been established, and culture medium conditions for enabling long-term culture of salivary gland epithelial stem cells or progenitor cells in 2D have been established.

Abstract: A semiconductor device includes a frequency division circuit configured to generate a first division clock and a second division clock by dividing a frequency of a clock, and an internal command generation circuit configured to generate an internal command based on a command in synchronization with the first division clock and the second division clock, configured to latch, in a pipe latch, a phase detection signal that is generated based on the timing at which the command is received, and configured to compensate for generation timing of the internal command based on the phase detection signal that has been latched in the pipe latch.

Abstract: A method and an apparatus for providing unmanned take-out service of an autonomous vehicle are provided. The apparatus includes an order information receiving unit configured to receive product order information from a user terminal. The apparatus also includes an order information providing unit configured to provide details of an ordered product included in the product order information to a product provider of the ordered product. The apparatus also includes an order processing recognition unit configured to recognize the ordered product provided from the product provider. The apparatus also includes a controller configured to control at least one of a seat, a window, a door, or a trunk of a vehicle according to a position in the vehicle of a loading target space for the ordered product.

Abstract: Proposed are an organic-inorganic composite thermoelectric material and a preparation method thereof. The organic-inorganic composite thermoelectric material includes an organic matrix and an inorganic thermoelectric portion dispersed in the organic matrix and including a nanomaterial. The organic matrix includes an organic conductor, and the nanomaterial includes at least one selected from the group consisting of a chalcogen element and a chalcogenide. The organic-inorganic composite thermoelectric material of the present invention has advantages of low cost and excellent thermoelectric properties through complexation of an aligned inorganic thermoelectric material and an organic thermoelectric material.

Abstract: A method for providing a cloud-based application programming interface (API) service is provided. The method may include issuing an authentication key corresponding to an application for some of a plurality of API services, performing authentication for a first user using the issued authentication key in response to a call for a first API service by the first user, and executing the first API service based on a result of the authentication.

Abstract: There is provided a cloud-based application programming interface (API) service providing system. The system may comprise a cloud management console issuing authentication information for a requested API among a plurality of APIs, an API manager receiving a call message for a specific API, which comprises authentication information, from a user's terminal, performing authentication using the authentication information in the call message, and requesting the execution of the specific API based on the authentication result and an API execution engine generating the result of executing the specific API in response to a request from the API manager, wherein the cloud management console is a module belonging to a control plane, and the call message is received by the API manager belonging to a data plane without via the control plane.

Abstract: There is provided a learning method and system of a backbone network for visual intelligence based on self-supervised learning and multi-head. A network learning system according to an embodiment generates a plurality of first modified vectors by modifying a first feature vector outputted from a teacher network, generates a plurality of second modified vectors by modifying a second feature vector outputted from a student network, calculates a loss by using the first modified vectors and the second modified vectors, and optimizes parameters of the student network. Accordingly, the effect of learning by knowledge distillation may be enhanced by training the backbone network for visual intelligence like group learning is performed by various teacher networks and student networks.

Abstract: There are provided an apparatus and a method for reconstructing a 3D human object based on a monocular image through depth image-based implicit function learning. A 3D human object reconstruction method according to an embodiment includes: predicting a double-sided orthographic depth map from a front perspective color image of a human object; predicting a signed distance (SD) regarding points on a 3D space from the predicted double-sided orthographic depth map; and reconstructing a 3D human object by using the predicted SD. Accordingly, a human object and details can be naturally reconstructed with respect to not only an area visible through a front perspective color image of the human object but also an invisible area.

Abstract: There is provided a depth estimation method for a small baseline-stereo camera through LiDAR sensor fusion. A depth map estimation method according to an embodiment may estimate a high-resolution depth map from a small baseline-stereo image based on deep learning, by using transfer learning from a deep learning network that is trained to estimate a depth map from a wide baseline-stereo image. Accordingly, in a device which has a small baseline-stereo camera installed therein due to structural constraints, such as a smartphone, a wearable AR/VR device, a drone, 3D image quality can be enhanced. In addition, according to embodiments, pseudo-LiDAR data may be generated by using a depth map estimated from a small baseline-stereo image, and may be used for replacing or reinforcing LiDAR data.