Samsung Electronics Co., Ltd.

Korea University Research and Business Foundation

Yeonho Lee

Sangwook Park

Kookjin Yeo

Chulwoo Kim

Kyenghun Lee

Saebom Jang

Silas Jeon

Youngbin Shin

Munjo Kim

Junyoung Song

Jonghyuck Choi

A hub device, a multi-device system including the hub device, and a method of operating the same may include: converting, by the hub device, received voice input into text; identifying, by the hub device, a device capable of performing an operation corresponding to the text; identifying which device stores a function determination model corresponding to the device capable of performing the operation corresponding to the text, from among the hub device, and a plurality of other devices connected to the hub device; and based on the identified device that stores the function determination model being a device that is different from the hub device, transmitting at least part of the text to the identified device.

Hub device, multi-device system including the hub device and plurality of devices, and method of operating the same

A system and method for providing a voice assistant service for text including an anaphor are provided. A method, performed by an electronic device, of providing a voice assistant service includes: obtaining first text generated from a first input, detecting a target word within the first text and generating common information related to the detected target word, using a first natural language understanding (NLU) model, obtaining second text generated from a second input, inputting the common information and the second text to a second NLU model, detecting an anaphor included in the second text and outputting an intent and a parameter, based on common information corresponding to the detected anaphor, using the second NLU model, and generating response information related to the intent and the parameter.

System and method for providing voice assistant service regarding text including anaphora

Disclosed are an electronic device and a method for controlling thereof. According to an embodiment, a method for controlling an electronic apparatus includes: obtaining a voice command while a first application is executed in foreground; obtaining a text by recognizing the voice command; identifying at least one second application to perform the voice command based on the text; based on information of the first application and the at least one second application; identify whether to execute each of the first application and the at least one second application in the foreground or background of the electronic apparatus; and providing the first application and the at least one second application based on the identification.

Electronic apparatus and method for controlling electronic apparatus

An electronic apparatus and a control method thereof are provided. A method of controlling an electronic apparatus according to an embodiment of the disclosure includes: receiving input of a first utterance, identifying a first task for the first utterance based on the first utterance, providing a response to the first task based on a predetermined response pattern, receiving input of a second utterance, identifying a second task for the second utterance based on the second utterance, determining the degree of association between the first task and the second task, and setting a response pattern for the first task based on the second task based on the determined degree of association satisfying a predetermined condition. The control method of an electronic apparatus may use an artificial intelligence model trained according to at least one of machine learning, a neural network, or a deep learning algorithm.

Electronic apparatus and control method thereof

A differential signal processing device is described which includes an encoder configured to encode input data into one or more differential signals and a transmitter configured to sequentially transmit the one or more differential signals using a plurality of transmission lines. The encoder converts a plurality of bits, corresponding to a transmission time interval, among the input data into an encoding code array in the transmission time interval obtained by increasing an encoding unit time, encoded for each of the one or more differential signals, by an integer multiple.

Differential signal processing device using advanced braid clock signaling

An apparatus and a system for automatically tracking data speed are disclosed. An embodiment of the invention provides a transmitting apparatus for automatically tracking data speed that includes: an encoder configured to convert parallelized input data according to a preset signal rule into a first signal and a second signal, where the input data is inputted as a unit of n bits, the encoder outputs the first signal and the second signal such that, if the input data includes identical bit values consecutively, one of the first signal and the second signal is converted to include transition information instead of following a differential rule with respect to the other signal; a serializer configured to serialize the first signal and the second signal; and a transmitting part configured to transmit the serialized first signal and second signal.

Growing community of inventors

Bucheon-si, South Korea

Yeonho Lee