Samsung Electronics Co., Ltd.

Changhan Kim

Bowon Kim

Jongyoub Ryu

Hyunsuk Min

Yunjae Lim

Hyeontaek Lim

Jinsuk Lee

Jaeeun Kang

Sangsun Choi

Tammy Lee

Dongwoo Kim

Jaehong Kim

Jieun Kim

Hun Il Lim

Yangwook Kim

Changhyun Lee

Jaewook Kim

Kyungjae Kim

Iljun Ahn

Kwanwoo Song

Jaeyeon Park

Hyejung Cho

Seowoo Jang

Yongsup Park

Chungyong Eom

Minsu Cheon

Jonghwa Lee

Guiwon Seo

Apoorv Kansal

Junghyun Lee

Dongsun Lee

Eunhui Bae

Hogun Lim

Kyoungjin Moon

Yoseong Song

Minsoo Koo

Hwanseon Lee

Jungkwan Seo

Jongrok Lim

Yunjeong Kim

Jonghyun Ho

Daekyoung Jung

Byungcheol Yu

Hoejin Kwen

Manseok Kang

Kiheum Cho

Heeseok Oh

An electronic device of the present disclosure comprises: a communication unit; a memory; and a processor for: detecting a voice section in an audio signal acquired by the electronic device; identifying whether a wake-up word stored in the memory exists in a user voice included in the detected voice section; when it is identified that the wake-up word exists in the user voice, transmitting, via the communication unit, the user voice to a server for providing a voice recognition service; and when response information for the user voice is received from the server, providing a response to the user voice on the basis of the received response information, wherein the processor identifies that the wake-up word exists in the user voice, when a part of the user voice matches the wake-up word. In particular, a method for acquiring a natural language for providing a response may use an artificial intelligence model learned according to at least one of machine learning, a neural network, and a deep learning algorithm.

Electronic device and control method thereof

The present invention relates to a voice conversation analysis apparatus and a method therefor and, more specifically, to: a voice conversation analysis apparatus categorizing voices generated during a voice conversation so as to predict required functions and further analyzing the voices so as to provide proper functions; and a method therefor. In addition, disclosed are: an artificial intelligence (AI) system for simulating the functions of recognition, decision-making, and the like of the human brain by using a machine learning algorithm; and an application thereof. According to one embodiment, disclosed in an electronic device control method for performing an operation through a suitable operating mode by using an AI learning model so as to analyze a voice conversation, comprising the steps of: receiving a voice and acquiring information on the voice; acquiring category information on the voice on the basis of the information on the voice so as to determine at least one operating mode corresponding to the category information; and performing an operation related to the operating mode by using an AI model corresponding to the determined operating mode.

Voice conversation analysis method and apparatus using artificial intelligence

An electronic apparatus is provided. The electronic apparatus includes a communicator comprising communication circuitry, a memory storing information on an artificial intelligence model, and a processor configured to: obtain a map generated based on sensing data obtained by an external electronic apparatus, simulate driving of the external electronic apparatus on the obtained map based on a plurality of parameter values and obtain driving result data for the plurality of parameter values, train the artificial intelligence model based on the plurality of parameter values and the obtained driving result data and obtain a plurality of parameter values related to driving of the external electronic apparatus, and control the communicator to transmit the plurality of obtained parameter values to the external electronic apparatus.

Electronic apparatus and controlling method thereof

A disclosed lens assembly may include at least four lenses sequentially arranged along an optical axis from a subject to an image sensor. Among the at least four lenses, a first lens disposed closest to the subject may have a visible light transmittance ranging from 0% to 5%, and, among subject-side surfaces and image-sensor-side surfaces of remaining lenses other than the first lens, at least four surfaces may include an inflection point. The lens assembly or an electronic device including the lens assembly may be variously implemented according to embodiments.

Visible light blocking lens assembly and electronic device including the same

An electronic apparatus includes a communication interface, a memory; and a processor. The memory is configured to store a hypervisor. The processor is configured to obtain an authentication key for performing authentication of an external device. The processor is also configured to encrypt the authentication key based on a key pre-stored in the memory using the hypervisor and store the encrypted authentication key in the memory. Based on a request for information that is stored in the memory being received from the external device, the processor is configured to perform authentication of the external device using the hypervisor. Based on the authentication of the external device being completed, the processor is configured to control the communication interface to transmit the stored information to the external device.

An image processing apparatus is disclosed. The present image processing apparatus comprises: a memory for storing a low dynamic range (LDR) image and a processor for adjusting the brightness of the LDR image by means of a pixel-specific brightness ratio identified using a first parameter, and acquiring a high dynamic range (HDR) image by adding or subtracting a pixel-specific correction value identified using a second parameter in the brightness-adjusted LDR image.

Image processing apparatus, image processing method, and computer-readable recording medium

A device management method and apparatus is provided for managing electronic devices through wireless communication. A device management method of a first device having a list of wireless communication-enabled devices according to the present disclosure includes transmitting a first message requesting second device information, when it is necessary to check connection status of a second device performing wireless communication with the devices contained in the list, comparing the second device previously stored information and the second device information contained in the second message, when a second message including the second device information is received in response to the first message, and transmitting a recovery command message with the first device information, when the second device information included in the second message differs from the previously stored second device information.

Method and apparatus for managing electronic device through wireless communication

The present disclosure relates generally to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A communication apparatus performs a method for determining a user's presence in a specific space. In the method, the apparatus receives a first signal from a first sensor and identifies a user access direction, based on the received first signal. Then, the apparatus selects a second sensor, based on the identified user access direction, receives a second signal from the selected second sensor, and determines whether a user enters in the specific space, based on the received second signal.

Apparatus and method for determining user's presence

Growing community of inventors

Suwon-si, South Korea

Changhan Kim