Abstract: The disclosure relates to an artificial intelligence (AI) system that simulates functions such as cognition and judgment of the human brain by utilizing machine learning algorithms such as deep learning and its applications. A method in which a device provides translation information of an application includes obtaining a resource file of an application through an operating system (OS) of the device; translating text to be displayed on an execution screen of the application from the obtained resource file by using an artificial intelligence model; generating the execution screen of the application by using the resource file and the translated text; and displaying the generated execution screen, wherein the translating includes translating the text of a first language into a second language by applying at least a part of data in the resource file to the artificial intelligence model trained to translate the text to be displayed on the execution screen of the application.

Abstract: Provided is an electronic apparatus that includes a microphone; a communication interface; a memory storing information on a first encoder, a first decoder, a first interpretation model comprising a first version conversion module, and at least one first version which the first conversion module may convert; and a processor. The processor is configured to communicate with an external device and receive information about at least one second version corresponding to a second interpretation model in the external device; obtain information on a compatible version based the at least one first version and the least one second version; based on a user voice, obtain a first feature vector corresponding to the user voice using the first encoder, convert the first feature vector to a second feature vector corresponding to the compatible version, and transmit the second feature vector to the external device.

Abstract: An electronic apparatus includes: a microphone; a communication interface including communication circuitry; a memory configured to store a first encoder corresponding to a first language and a first decoder corresponding to the first language; and a processor configured to: based on a user voice in the first language being received through the microphone, acquire text in the first language corresponding to the user voice, acquire a first feature vector by inputting the text in the first language to the first encoder, control the communication interface to transmit the first feature vector to an external device, and based on a second feature vector being received from the external device through the communication interface, acquire text in the first language corresponding to the second feature vector by inputting the second feature vector to the first decoder.

Abstract: An electronic device and a method for controlling the electronic device thereof are provided. The electronic device includes a memory storing instructions, and a processor configured to control the electronic device by executing the instructions stored in the memory, and the processor is configured to, based on a user's speech being input, acquire a first sentence in a first language corresponding to the user's speech through a speech recognition model corresponding to a language of the user's speech, acquire a second sentence in a second language corresponding to the first sentence in the first language through a machine translation model trained to translate a plurality of languages into the predefined second language, and acquire a control instruction of the electronic device corresponding to the acquired second sentence or acquire a response to the second sentence through a natural language understanding model trained based on the second language.

Abstract: An electronic device and a method of controlling an electronic device are provided. The method includes obtaining an image comprising a text through a camera, identifying an input text, among texts included in the image, to be translated, obtaining a first vector corresponding to the input text by inputting the identified input text to an encoder of a translation model, identifying whether additional information is necessary to translate the input text by inputting the first vector to a first artificial intelligence model trained to translate the input text, based on identification that the additional information is necessary, identifying additional information among the at least one context information by inputting the first vector and at least one context information obtained from the image, and obtaining an output text corresponding to the input text by inputting the first vector and the identified additional information to a decoder of the translation model.

Abstract: An electronic apparatus and a control method thereof are provided. The control method includes acquiring a plurality of words, acquire a plurality of word combinations by combining the plurality of words, and acquiring first scores indicating the sentence completeness of each of the plurality of word combinations by inputting each of the plurality of word combinations to a first a language model for identifying a sentence completeness, based on all the first scores with respect to each of the plurality of word combinations being identified to be less than a predetermined value, acquire second scores for each of the plurality of word combinations by inputting each of the plurality of word combinations to a sentence separation model for identifying an accuracy of a word combination, identifying one word combination among the plurality of word combinations based on the second scores, and providing the identified one word combination to a translation model which performs translation.

Abstract: The disclosure relates to an artificial intelligence (Al) system that simulates functions such as cognition and judgment of the human brain by utilizing machine learning algorithms such as deep learning and its applications. A method in which a device provides translation information of an application includes obtaining a resource file of an application through an operating system (OS) of the device; translating text to be displayed on an execution screen of the application from the obtained resource file by using an artificial intelligence model; generating the execution screen of the application by using the resource file and the translated text; and displaying the generated execution screen, wherein the translating includes translating the text of a first language into a second language by applying at least a part of data in the resource file to the artificial intelligence model trained to translate the text to be displayed on the execution screen of the application.

Abstract: An electronic device and a method for controlling the electronic device thereof are provided. The electronic device includes a memory storing at least one instruction, and a processor configured to control the electronic device by executing the at least one instruction stored in the memory, and the processor is configured to, based on a user's speech being input, acquire a first sentence in a first language corresponding to the user's speech through a speech recognition model corresponding to a language of the user's speech, acquire a second sentence in a second language corresponding to the first sentence in the first language through a machine translation model trained to translate a plurality of languages into the predefined second language, and acquire a control instruction of the electronic device corresponding to the acquired second sentence or acquire a response to the second sentence through a natural language understanding model trained based on the second language.

Abstract: A modular light system comprising a light module comprising a heat sink having a first side with a first mechanical coupling and a second side with a second mechanical coupling, a solid-state light emitting component connected to the heat sink, and a junction box with a first electrical coupling and a second electrical coupling, at least one being electrically connected to the solid-state light emitting component. The modular light system further comprises a base module removably connected to the first side by the first mechanical coupling and the first electrical coupling, and having a connection for power input to the modular light system to provide power to the solid-state light emitting component. A head module is removably connected to the second side by the second mechanical coupling and the second electrical coupling, and has a power terminal end connector.

Abstract: A modular light system comprising a light module comprising a heat sink having a first side with a first mechanical coupling and a second side with a second mechanical coupling, a solid-state light emitting component connected to the heat sink, and a junction box with a first electrical coupling and a second electrical coupling, at least one being electrically connected to the solid-state light emitting component. The modular light system further comprises a base module removably connected to the first side by the first mechanical coupling and the first electrical coupling, and having a connection for power input to the modular light system to provide power to the solid-state light emitting component. A head module is removably connected to the second side by the second mechanical coupling and the second electrical coupling, and has a power terminal end connector.

Abstract: A thin-film microelectrode array tailored for long-term, minimally invasive cortical recording or stimulation and method are provided. The microelectrode array includes a flexible element that is movable between a first contracted configuration and a second expanded configuration. An array of contacts is provided on the flexible element. The contacts are engagable with a cortical surface with the flexible element in the expanded configuration. A link operatively connects the array of contacts to a control module. The link is capable of transmitting at least one of cortical recordings and cortical stimulation signals thereon.

Abstract: A thin-film microelectrode array tailored for long-term, minimally invasive cortical recording or stimulation and method are provided. The microelectrode array includes a flexible element that is movable between a first contracted configuration and a second expanded configuration. An array of contacts is provided on the flexible element. The contacts are engagable with a cortical surface with the flexible element in the expanded configuration. A link operatively connects the array of contacts to a control module. The link is capable of transmitting at least one of cortical recordings and cortical stimulation signals thereon.

Abstract: A thin-film microelectrode array tailored for long-term, minimally invasive cortical recording or stimulation and method are provided. The microelectrode array includes a flexible element that is movable between a first contracted configuration and a second expanded configuration. An array of contacts is provided on the flexible element. The contacts are engagable with a cortical surface with the flexible element in the expanded configuration. A link operatively connects the array of contacts to a control module. The link is capable of transmitting at least one of cortical recordings and cortical stimulation signals thereon.