Abstract: A system and method for unsupervised training of a text report identification machine learning model, including: labeling a first set of unlabeled text reports using a seed dictionary to identify concepts in the unlabeled text reports; inputting images associated with the first set of seed-labeled text reports into an auto-encoder to obtain an encoded first set of images; calculating a set of first correlation matrices as a dot product of the first encoded images with their associated text report features; determining a distance between the set of first correlation matrices and a filter bank value associated with the auto-encoder; identifying a first set of validated images as the images in the first set of images that have a distance less than a threshold value; and training the text report machine learning model using the labeled text reports associated with the set of first validated images.

Abstract: A system and method for training a text report identification machine learning model and an image identification machine learning model, including: initially training a text report machine learning model, using a labeled set of text reports including text pre-processing the text report and extracting features from the pre-processed text report, wherein the extracted features are input into the text report machine learning model; initially training an image machine learning model, using a labeled set of images; applying the initially trained text report machine learning model to a first set of unlabeled text reports with associated images to label the associated images; selecting a first portion of labeled associated images; re-training the image machine learning model using the selected first portion of labeled associated images; applying the initially trained image machine learning model to a first set of unlabeled images with associated text reports to label the associated text reports; selecting a first po

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: A medical information retrieval system comprises a natural language processing system that processes a vocal user query to identify key words and phrases. These key words and phrases are provided to an inferencing engine that provides a set of knowledge-based inferences from medical knowledge sources, based on these key words and phrases. Thereafter, these knowledge-based inferences are provided to an information retrieval engine that retrieves a corresponding plurality of medical articles based on these knowledge-based inferences, and ranks each with respect to the knowledge-based inferences. A summary engine receives the ranked articles and creates a model based on the topical keywords and candidate sentences found in the highly ranked articles. A paraphrase engine processes the candidate sentences to provide a summary response based on a knowledge-based paraphrase model. An audio output device renders the summary report as the response to the user's original vocal query.

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: 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: An artificial neural network apparatus and an operating method including a plurality of layer processors for performing operations on input data are disclosed. The artificial neural network apparatus may include: a flag layer processor for outputting a flag according to a comparison result between a pooling output value of a current frame and a pooling output value of a previous frame; and a controller for stopping operation of a layer processor which performs operations after the flag layer processor among the plurality of layer processors when the flag is outputted from the flag layer processor, wherein the flag layer processor is a layer processor that performs a pooling operation first among the plurality of layer processors.

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: Disclosed, according to one embodiment, is a photodynamic therapy method mediated by a chlorin e6 photosensitizer composite for treating and preventing obesity, the method comprising the steps of: injecting or administering a chlorin e6 composite into a subject; and performing photodynamic therapy on the subject into which the chlorin e6 composite has been injected or administered.

Abstract: An embodiment of the present invention provides a quantization method for weights of a plurality of batch normalization layers, including: receiving a plurality of previously learned first weights of the plurality of batch normalization layers; obtaining first distribution information of the plurality of first weights; performing a first quantization on the plurality of first weights using the first distribution information to obtain a plurality of second weights; obtaining second distribution information of the plurality of second weights; and performing a second quantization on the plurality of second weights using the second distribution information to obtain a plurality of final weights, and thereby reducing an error that may occur when quantizing the weight of the batch normalization layer.

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: Disclosed is an operating method of a neural network processing device that communicates with an external memory device and executes a plurality of layers including obtaining layer information of the plurality of layers by analyzing a connection structure of the plurality of layers, generating an input address and an output address for a target layer based on the layer information, receiving expected input data and expected output data for the target layer, storing the expected input data at an input address area of the external memory device corresponding the input address, storing output result data at an output address area of the external memory device corresponding the output address by executing the target layer, comparing the output result data with the expected output data, and determining whether an error for the target layer occurs.

Abstract: Disclosed herein is an AI accelerator. The AI accelerator includes processors, each performing a deep-learning operation using multiple threads; and a cache memory including an L0 instruction cache for providing instructions to the processors and an L1 cache mapped to the multiple areas of mapped memory.

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: Proposed is a peptide for skin anti-aging and anti-wrinkle, comprising a glycine-histidine-lysine tripeptide and polyarginine linked to the carboxy-terminus of the tripeptide, and a composition for skin anti-aging and anti-wrinkle comprising the peptide. The peptide and composition may enter the cytoplasm more rapidly and efficiently than a conventional GHK tripeptide, and may exhibit skin anti-aging and anti-wrinkle effects similar to those of the GHK tripeptide even at a lower concentration than that of the GHK tripeptide.

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: Disclosed is a silver powder preparation method including a silver salt reduction step. The silver salt reduction step includes a reaction solution preparation step for preparing a first reaction solution and a second reaction solution and a precipitation step for allowing reaction between the first reaction solution and the second reaction solution to precipitate silver particles. The first reaction solution contains silver ions, ammonia, an alkali metal salt of an organic acid, and a phosphorous compound, and the second reaction solution contains a reducing agent. The content of the phosphorous compound and the reaction temperature of the precipitation step are adjusted so that the shrinkage rate of the silver powder is adjusted within a range of 5% to 20% at 500° C. when the reaction temperature is heated to 800° C. at a heating rate of 50° C./min.

Abstract: The present invention provides a compound having a specific chemical structure and having PDE9A inhibitory activity, or a pharmaceutically acceptable salt thereof. The present invention provides a composition containing the compound or a pharmaceutically acceptable salt thereof. The present invention provides a pharmaceutical use, for treating or preventing PDE9A-related diseases, of the compound according to the present invention, a salt thereof, and a composition containing the compound or salt. The present invention also provides a method for treating or preventing PDE9A-related diseases, the method comprising administering an effective amount of the compound according to the present invention, a salt thereof, or a composition containing the compound or salt to a subject in need of treatment.

Abstract: The present invention provides a compound having a specific chemical structure and having PDE9A inhibitory activity, or a pharmaceutically acceptable salt thereof. The present invention provides a composition containing the compound or a pharmaceutically acceptable salt thereof. The present invention provides a pharmaceutical use, for treating or preventing PDE9A-related diseases, of the compound according to the present invention, a salt thereof, and a composition containing the compound or salt. The present invention also provides a method for treating or preventing PDE9A-related diseases, the method comprising administering an effective amount of the compound according to the present invention, a salt thereof, or a composition containing the compound or salt to a subject in need of treatment.

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.