Samsung Electronics Co., Ltd.

Yonsei University

Seung-hak Yu

Hae-jun Lee

Deok-ho Kim

Ji-hyun Rho

Ho-jin Jung

Min-seo Kim

Eun-jeong Ko

Tae-yeun Yang

Ha-yoon Jung

Seung-Woo Lee

In-chul Hwang

Kyoung-woo Lee

Seong-Il Hahm

Hee-jun Song

Jong-hoon Shin

Ji-hwan Yun

Soo-hwan Kim

Nilesh Kulkarni

Yo-han Ko

Hyun-choong Kim

Ho-jung Cha

An example device includes a memory configured to store at least one program; a microphone configured to receive a voice; and at least one processor configured to execute the at least one program to control the device to perform operations for sending money to a recipient. The operations include determining a payment intention of a user based on analyzing the received voice input; retrieving contact information from a stored contact list based on the name of the recipient; transmitting the name and the contact information of the recipient to a bank server together with an amount of money specified in the voice input; receiving remittance details from the bank server; and approving the remittance details. The device may analyze the received voice input by using an artificial intelligence (AI) algorithm.

Method and device applying artificial intelligence to send money by using voice input

Provided is a device including a memory storing information about sequences of a plurality of registered words; an input unit comprising input circuitry configured to receive an input of a text comprising a first eojeol not belonging to the plurality of registered words, wherein, in the first eojeol, a first word is attached to a first registered word that belongs to the plurality of registered words; and a controller configured to detect the first registered word from the first eojeol, to determine a predicted eojeol to be input after the text, based on the information about the sequences of the plurality of registered words and the detected first registered word and to control a display to display the predicted eojeol.

Method and apparatus for recommending word

Provided are a diagnostic model generating apparatus and a diagnostic model generating method therefor. The diagnostic model generating method may comprising: extracting at least one keyword from consultation data between a user and a consultant for resolving electronic device errors; on the basis of the at least one extracted keyword, determining a diagnostic sequence between the plurality of diagnostic commands for resolving errors and a plurality of diagnostic commands; and storing a diagnostic model comprising the plurality of determined diagnostic commands and determined diagnostic sequence.

Diagnostic model generating method and diagnostic model generating apparatus therefor

An example device for transmitting an answer message includes a display configured to display information, a communicator configured to receive a question message from another device, a processor configured to control the display to display graphics representing a plurality of pieces of recommendation information which are includable in an answer message for the received question message and relations between the plurality of pieces of recommendation information, and a user input unit configured to receive a user input that selects at least one of the plurality of pieces of recommendation information, wherein the communicator is further configured to transmit an answer message including the selected recommendation information to the another device according to the user input.

Answer message recommendation method and device therefor

An electronic apparatus for compressing a language model is provided, the electronic apparatus including a storage configured to store a language model which includes an embedding matrix and a softmax matrix generated by a recurrent neural network (RNN) training based on basic data including a plurality of sentences, and a processor configured to convert the embedding matrix into a product of a first projection matrix and a shared matrix, the product of the first projection matrix and the shared matrix having a same size as a size of the embedding matrix, and to convert a transposed matrix of the softmax matrix into a product of a second projection matrix and the shared matrix, the product of the second projection matrix and the shared matrix having a same size as a size of the transposed matrix of the softmax matrix, and to update elements of the first projection matrix, the second projection matrix and the shared matrix by performing the RNN training with respect to the first projection matrix, the second projection matrix and the shared matrix based on the basic data.

Electronic apparatus for compressing language model, electronic apparatus for providing recommendation word and operation methods thereof

Provided are a device for transmitting an answer message including a display configured to display information, a communicator configured to receive a question message from another device, a processor configured to control the display to display graphics representing a plurality of pieces of recommendation information which are includable in an answer message for the received question message and relations between the plurality of pieces of recommendation information, and a user input unit configured to receive a user input that selects at least one of the plurality of pieces of recommendation information, wherein the communicator is further configured to transmit an answer message including the selected recommendation information to the another device according to the user input.

Disclosed is a system for recognizing a user location using sensor-based activity recognition. The system includes a mobile device which includes a sensor module configured to sense information about at least one of a user state and surrounding environments, a first processor configured to extract activity information based on the sensed information, and a first communication module configured to transmit the extracted activity information; and a user terminal device which includes a second communication module configured to receive the activity information from the first communication module, and a processor configured to determine a user location in a user space corresponding to a user activity based on the received activity information. By determining a user's location in a user space corresponding to a user activity, it is possible to control electronic devices corresponding to the user activity or provide a service of monitoring activities of the old and weak and the child.

User terminal device and method for recognizing user'S location using sensor-based behavior recognition

An electronic device and a method for controlling the electronic device are provided. The electronic device includes a communication interface configured to receive a message, at least one processor configured to determine a notification scheme for outputting the message based on status information about the electronic device and obtain a summary message by converting the message according to the notification scheme, and an output module for outputting the summary message.

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Yongin-si, South Korea

Seung-hak Yu