Abstract: A method for controlling a memory from which data is transferred to a neural network processor and an apparatus thereof are provided, the method including: generating prefetch information of data by using a blob descriptor and a reference prediction table after history information is input; reading the data in the memory based on the pre-fetch information and temporarily archiving read data in a prefetch buffer; and accessing next data in the memory based on the prefetch information and temporarily archiving the next data in the prefetch buffer after the data is transferred to the neural network from the prefetch buffer.

Abstract: Provided is a method for using selective non-catalytic reduction to reduce nitrogen dioxide in exhaust gas generated during an olefin production process. Nitrogen dioxide generated in a catalyst regeneration step of a continuous PDH process can be efficiently removed by the method of the present disclosure. Ultimately, the generation of visible fumes can be prevented through the removal of nitrogen dioxide.

Abstract: A method and apparatus for multi-level stepwise quantization for neural network are provided. The apparatus sets a reference level by selecting a value from among values of parameters of the neural network in a direction from a high value equal to or greater than a predetermined value to a lower value, and performs learning based on the reference level. The setting of a reference level and the performing of learning are iteratively performed until the result of the reference level learning satisfies a predetermined value and there is no variable parameter that is updated during learning among the parameters.

Abstract: A method for treating sleep disturbance according to an embodiment of the present disclosure includes administering to a subject in need thereof a composition including saponarin of Chemical Formula 1, a salt thereof acceptable for use in food, or a hydrate thereof as an effective component: In an animal model with lack of sleep caused by caffeine, saponarin of the present invention restores the travel distance, mobility time, mobility frequency, and immobility time to normal as well as increases the mRNA expression of neuropeptide Y, cholecystokinin, and GABA A ?1 receptor, thereby alleviating sleep disturbance. Therefore, the saponarin of the present invention can be advantageously used as a raw material for a functional health food or a pharmaceutical product for preventing, alleviating, or treating sleep disturbance.

Abstract: A method for treating sleep disturbance according to an embodiment of the present disclosure includes an extract of Fraxinus sp. plant as an effective component. As the extract of Fraxinus rhynchophylla of the present invention has an effect of ameliorating sleep disturbance by increasing the mRNA expression level of calretinin, neuropeptide Y, GAD65 and GAD67 in an animal model which has sleep disturbance caused by stress, it can be advantageously used as a raw material of a functional health food or a pharmaceutical product for preventing, ameliorating, or treating sleep disturbance.

Abstract: Disclosed is a neural network computing device. The neural network computing device includes a neural network accelerator including an analog MAC, a controller controlling the neural network accelerator in one of a first mode and a second mode, and a calibrator that calibrating a gain and a DC offset of the analog MAC. The calibrator includes a memory storing weight data, calibration weight data, and calibration input data, a gain and offset calculator reading the calibration weight data and the calibration input data from the memory, inputting the calibration weight data and the calibration input data to the analog MAC, receiving calibration output data from the analog MAC, and calculating the gain and the DC offset of the analog MAC, and an on-device quantizer reading the weight data, receiving the gain and the DC offset, generating quantized weight data, based on the gain and the DC offset.

Abstract: A method for preventing, ameliorating, or treating stress or depression includes administering a subject in need thereof a composition including a medicinal herb extract as an effective ingredient. Tt is shown that an extract of Hibiscus syriacus flower and an extract of Hibiscus syriacus root have an activity of protecting nerve cells, can lower the expression level of an inflammatory factor, which is increased by stress, and is effective for depression caused by stress.

Abstract: A method for controlling a memory from which data is transferred to a neural network processor and an apparatus thereof are provided, the method including: generating prefetch information of data by using a blob descriptor and a reference prediction table after history information is input; reading the data in the memory based on the pre-fetch information and temporarily archiving read data in a prefetch buffer; and accessing next data in the memory based on the prefetch information and temporarily archiving the next data in the prefetch buffer after the data is transferred to the neural network from the prefetch buffer.

Abstract: A method for treating a sleep disorder according to an embodiment of the present disclosure includes administering a composition comprising an extract of Hibiscus syriacus as an effective ingredient to a subject in need thereof. Because the Hibiscus syriacus extract of the present invention has an effect of improving sleep time deteriorated by stress, and an effect of reducing the content of corticosterone, which increases due to stress, and increasing the content of serotonin in blood. In addition, the composition has an effect of enhancing in a significant sense the expression of GABAR A ?1 in cerebral cortex, which decreases due to stress, in a group administered with Hibiscus syriacus extract. As such, the composition comprising Hibiscus syriacus extract as an effective ingredient as an effective ingredient can be advantageously used as a functional health food composition or a pharmaceutical composition for preventing, ameliorating or treating sleeping disorders.

Abstract: Provided is a convolutional neural network system including a data selector configured to output an input value corresponding to a position of a sparse weight from among input values of input data on a basis of a sparse index indicating the position of a nonzero value in a sparse weight kernel, and a multiply-accumulate (MAC) computator configured to perform a convolution computation on the input value output from the data selector by using the sparse weight kernel.

Abstract: Provided is an ultrasound diagnosis apparatus and a method of operating the ultrasound diagnosis apparatus. The method includes: obtaining first Doppler data of a blood flow introduced into a cardiac ventricle of an object and second Doppler data of a blood flow discharged from the cardiac ventricle; setting a landmark corresponding to a predetermined motion of the cardiac ventricle in each of a first Doppler image generated based on the first Doppler data and a second Doppler image generated based on the second Doppler data; synchronizing the first Doppler image and the second Doppler image based on the set landmark; and displaying the first Doppler image and the second Doppler image that are synchronized.

Abstract: A method for presenting do-it-yourself (DIY) videos to a user related to a user task by a DIY video system, including: receiving a user query including a first image file and a text question from a user regarding the current state of the user task; extracting entities from the first image file to create entity data; extracting question information from the text question; extracting from a DIY video index a video segment related to the user task based upon the entity data and the question information; and presenting the extracted video segment to the user.

Abstract: Disclosed are a membrane structure including a carbon nanomaterial and NASICON-series ceramic particles, wherein an aqueous solution can pass through an electrode and a method of fabricating the same. There is disclosed a membrane structure of a flat membrane or hollow fiber membrane form, wherein the carbon nanomaterials are intertwisted to form a three-dimensional mesh-shaped structure and the NASICON-series ceramic particles material is combined with the three-dimensional mesh-shaped structure as a complex.

Abstract: Provided is an image recognition device. The image recognition device includes a frame data change detector that sequentially receives a plurality of frame data and detects a difference between two consecutive frame data, an ensemble section controller that sets an ensemble section in the plurality of frame data, based on the detected difference, an image recognizer that sequentially identifies classes respectively corresponding to a plurality of section frame data by applying different neural network classifiers to the plurality of section frame data in the ensemble section, and a recognition result classifier that sequentially identifies ensemble classes respectively corresponding to the plurality of section frame data by combining the classes in the ensemble section.

Abstract: Provided is a method of operating a neural network computing device that is configured to communicate with an external memory device and execute a plurality of layers. The method includes computing a first input address, based on first layer information of a first layer among the plurality of layers and a first memory management table, and updating the first memory management table to generate a second memory management table, reading first input data to be input to the first layer from the external memory device, based on the computed first input address, computing a first output address, based on the first layer information and the second memory management table, and updating the second memory management table to generate a third memory management table, and storing first output data output from the first layer, based on the first output address, in the external memory device.

Abstract: A method for preventing or treating at least one of depression and anxiety disorder according to an embodiment of the present invention includes administering to a subject in need thereof a composition having an extract of Fraxinus rhynchophylla as an effective ingredient. By having an effect of improving depressive behavior and low physical activity shown in an animal model with induced anxiety and depression, reducing the level of cortisol, increasing the level of serotonin, and also increasing the expression amount of pCERB, BDNF, and mBDNF proteins in hippocampal tissues, the compositions can be advantageously used for developing a functional health food product or a pharmaceutical product for ameliorating or treating the depression and anxiety disorder.

Abstract: The neuromorphic arithmetic device comprises an input monitoring circuit that outputs a monitoring result by monitoring that first bits of at least one first digit of a plurality of feature data and a plurality of weight data are all zeros, a partial sum data generator that skips an arithmetic operation that generates a first partial sum data corresponding to the first bits of a plurality of partial sum data in response to the monitoring result while performing the arithmetic operation of generating the plurality of partial sum data, based on the plurality of feature data and the plurality of weight data, and a shift adder that generates the first partial sum data with a zero value and result data, based on second partial sum data except for the first partial sum data among the plurality of partial sum data and the first partial sum data generated with the zero value.

Abstract: Methods and systems for generating a question from free text. The system is trained on a corpus of data and receives a tuple consisting of a paragraph (free text), a focused fact, and a question type. The system implements a language model to find the most optimal combination of words to return a question for the paragraph about the focused fact.

Abstract: A device, system, and method classifies a cognitive bias in a microblog relative to healthcare-centric evidence. The method performed at a microblog server includes receiving a selection from a clinician, the selection indicating a health-related topic. The method includes determining evidence data of the health-related topic from validated information sources. The method includes receiving a microblog, the microblog associated with the health-related topic. The method includes determining a cognitive bias of the microblog based on the evidence data.

Abstract: Methods and systems for interacting with a user. Systems in accordance with various embodiments described herein provide a collection of models that are each trained to perform a specific function. These models may be categorized into static models that are trained on an existing corpus of information and dynamic models that are trained based on real-time interactions with users. Collectively, the models provide appropriate communications for a user.