Abstract: A method of detecting an abnormality in time series data according to an embodiment of the present disclosure is performed in a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors. First masking is performed to cover a portion of input time series data with a mask. First-restored time series data in which the time series data is restored is generated by inputting the first-masked time series data to a generator. A difference between the first-restored time series data and original time series data is calculated. Second masking is performed to cover a portion of the time series data with a mask on basis of the calculated difference. Second-restored time series data in which the time series data is restored is generated by inputting the second-masked time series data to the generator.

Abstract: A method of detecting an abnormality in time series data according to an embodiment of the present disclosure is performed in a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors. First masking is performed to cover a portion of input time series data with a mask. First-restored time series data in which the time series data is restored is generated by inputting the first-masked time series data to a generator. A difference between the first-restored time series data and original time series data is calculated. Second masking is performed to cover a portion of the time series data with a mask on basis of the calculated difference. Second-restored time series data in which the time series data is restored is generated by inputting the second-masked time series data to the generator.

Abstract: Provided are a system and method for adaptive masking and non-directional language understanding and generation. The system for adaptive masking and non-directional language understanding and generation according to the present invention includes an encoder unit including an adaptive masking block for performing masking on training data, a language generator for restoring masked words, and an encoder for detecting whether or not the restored sentence construction words are original, and a decoder unit including a generation word position detector for detecting a position of a word to be generated next, a language generator for determining a word suitable for the corresponding position, and a non-directional training data generator for decoder training.

Abstract: According to an embodiment of the present disclosure, there is provided a method of predicting a brain tissue lesion distribution, the method including: a model learning operation of learning a prediction model for predicting a brain tissue lesion distribution of a subject by using brain image data of a plurality of previous patients; an input obtaining operation of obtaining input data from brain image data of the subject; and an output operation of generating output image data including information on the lesion distribution after recanalization treatment for the subject, by using the prediction model. The prediction model includes a success prediction model that is learned by using data of patients in which recanalization treatment is successful among the plurality of previous patients, and a failure prediction model that is learned by using data of patients in which recanalization treatment fails among the plurality of previous patients.

Abstract: Provided are a method and apparatus for online Bayesian few-shot learning. The present invention provides a method and apparatus for online Bayesian few-shot learning in which multi-domain-based online learning and few-shot learning are integrated when domains of tasks having data are sequentially given.

Abstract: Disclosed is a golf ball including a center portion, at least two intermediate tiers sequentially surrounding the center portion, and an outer tier surrounding the intermediate tiers, which comprises: said outer tier having a thickness in a range of 0.8˜1.4 mm, and an a hardness (Shore D) in a range of 40˜50; among the intermediate tiers, said first intermediate tier formed just below the outer tier, having a thickness in a range of 1.0˜2.0 mm and a hardness (Shore D) in a range of 50˜65; each intermediate tier formed just below the first intermediate tier having a thickness in a range of 1.3˜1.5 mm, and a hardness (Shore D) in range of 30˜70; the radius of the center portion is in a range of 5˜18 mm, and a hardness (Shore D) in a range of 30˜70; and a moment of inertia value of the golf ball is less than 83 g·cm2. According to the golf ball of the present invention, an iron spin force is excellent as compared to a conventional golf ball for a match, and the flying distance is almost same.

Abstract: A washer enhances user convenience by scrolling on a display unit information indicative of the washer's operational state, according to a setup input via button and dial units.