Abstract: An electronic device includes a microphone, a memory, and a processor configured to obtain a first natural language understanding result for a first user voice obtained through the microphone based on a first text corresponding to the first user voice, provide a first response corresponding to the first user voice based on the first natural language understanding result, identify whether the first user voice includes a tracking element based on the first natural language understanding result and a second text corresponding to the first response, based on identifying that the first user voice includes the tracking element, store the first text, the first natural language understanding result and the second text in the memory, and obtain a third text corresponding to the first response based on the first natural language understanding result.

Abstract: An electronic device includes a microphone, a memory, and a processor configured to obtain a first natural language understanding result for a first user voice obtained through the microphone based on a first text corresponding to the first user voice, provide a first response corresponding to the first user voice based on the first natural language understanding result, identify whether the first user voice includes a tracking element based on the first natural language understanding result and a second text corresponding to the first response, based on identifying that the first user voice includes the tracking element, store the first text, the first natural language understanding result and the second text in the memory, and obtain a third text corresponding to the first response based on the first natural language understanding result.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a microphone, a memory storing at least one instruction, and a processor connected to the microphone and the memory configured to control the electronic apparatus, and the processor, by executing the at least one instruction, may, based on receiving a user voice signal through the microphone, obtain a text corresponding to the user voice signal, identify a plurality of sentences included in the obtained text, identify a domain corresponding to each of the plurality of sentences among a plurality of domains, based on a similarity of a first sentence and a second sentence, among the plurality of sentences, having a same domain being greater than or equal to a threshold value, obtain a third sentence in which the first sentence and the second sentence are combined by using a first neural network model, and perform natural language understanding for the third sentence.

Abstract: A carrier assembly comprises a carrier main body comprising a housing, the housing comprising side walls having supporting slots for carrying the semiconductor package strips inside the housing, respectively, and the housing defining a front opening and a rear opening between the side walls to allow for placement and displacement of the semiconductor package strips, and a pair of clamping devices for applying clamping forces to the semiconductor package strips against the supporting slots, respectively, and each of the pair of clamping device comprising a locking plate, strip contacting extensions extending from the locking plate and insertable through one of the front opening and the rear opening of the housing, and a locking member for moving the strip contacting extensions between a locked position and an unlocked position, wherein in the locked position the substrate package strips are pressed against the supporting slots by the respective strip contacting extensions.

Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes: a communication interface, a memory, and a processor connected to the memory and the communication interface, the processor configured to control the electronic apparatus to, based on receiving a speech related to a function of the electronic apparatus, obtain text information corresponding to the received speech, control the communication interface to transmit the obtained text information to a server including a first neural network model corresponding to the function, execute the function based on response information received from the server, and based on identifying that an update period of the first neural network model is greater than or equal to a first threshold period based on the information related to the function of the electronic apparatus, the electronic apparatus may receive the information about the first neural network model from the server and store the information in the memory.

Abstract: An electronic apparatus includes a communication interface; a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: receive a text corresponding to a user utterance and information regarding a first external device; obtain a plurality of weights of a plurality of elements related to the first external device; identify a second external device for obtaining response information; control the communication interface to transmit the text corresponding to the user utterance to the second external device; receive first response information regarding the user utterance from the second external device; obtain second response information; and control the communication interface to transmit the second response information to the first external device.

Abstract: A method for forming a semiconductor device is provided. The method include: providing a package including: a substrate; a stress absorbing layer disposed on a top surface of the substrate; an electronic component mounted on the top surface of substrate; and a first contact pad disposed on the top surface of the substrate and exposed from the stress absorbing layer; providing a mold including: a first cavity exposed from a bottom surface of the mold; and a recess formed adjacent to the first cavity; engaging the mold and the package with the first cavity over the electronic component and the recess between the electronic component and the first contact pad; and injecting encapsulation material into the first cavity to form an encapsulant over the electronic component.

Abstract: An electronic device includes a microphone, a memory, and a processor configured to obtain a first natural language understanding result for a first user voice obtained through the microphone based on a first text corresponding to the first user voice, provide a first response corresponding to the first user voice based on the first natural language understanding result, identify whether the first user voice includes a tracking element based on the first natural language understanding result and a second text corresponding to the first response, based on identifying that the first user voice includes the tracking element, store the first text, the first natural language understanding result and the second text in the memory, and obtain a third text corresponding to the first response based on the first natural language understanding result.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a microphone, a memory storing at least one instruction, and a processor connected to the microphone and the memory configured to control the electronic apparatus, and the processor, by executing the at least one instruction, may, based on receiving a user voice signal through the microphone, obtain a text corresponding to the user voice signal, identify a plurality of sentences included in the obtained text, identify a domain corresponding to each of the plurality of sentences among a plurality of domains, based on a similarity of a first sentence and a second sentence, among the plurality of sentences, having a same domain being greater than or equal to a threshold value, obtain a third sentence in which the first sentence and the second sentence are combined by using a first neural network model, and perform natural language understanding for the third sentence.

Abstract: An electronic apparatus includes a communication interface; a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: receive a text corresponding to a user utterance and information regarding a first external device; obtain a plurality of weights of a plurality of elements related to the first external device; identify a second external device for obtaining response information; control the communication interface to transmit the text corresponding to the user utterance to the second external device; receive first response information regarding the user utterance from the second external device; obtain second response information; and control the communication interface to transmit the second response information to the first external device.

Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes: a communication interface, a memory, and a processor connected to the memory and the communication interface, the processor configured to control the electronic apparatus to, based on receiving a speech related to a function of the electronic apparatus, obtain text information corresponding to the received speech, control the communication interface to transmit the obtained text information to a server including a first neural network model corresponding to the function, execute the function based on response information received from the server, and based on identifying that an update period of the first neural network model is greater than or equal to a first threshold period based on the information related to the function of the electronic apparatus, the electronic apparatus may receive the information about the first neural network model from the server and store the information in the memory.