Abstract: According to an embodiment, an image display device includes: a display; a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions: to determine whether it is a recommended time for outputting advertisement content, from a user's log data, based on a first trained model using one or more neural networks; to determine a recommended attribute of an advertisement display region from the user's log data, based on a second trained model using the one or more neural networks, when it is determined that it is the recommended time for outputting the advertisement content; and to adjust an attribute of the advertisement display region based on the determined recommended attribute and control the display to output the advertisement content in the attribute-adjusted advertisement display region.

Abstract: Provided is an artificial intelligence (AI) system simulating functions of a human brain, such as recognition and decision, by using a machine learning algorithm, such as deep-learning. Image display apparatuses are more convenient for a user, by performing user authentication by using an authentication image set generated based on an object recognized from content viewed by the user.

Abstract: According to an embodiment, an image display device includes: a display; a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions: to determine whether it is a recommended time for outputting advertisement content, from a user's log data, based on a first trained model using one or more neural networks; to determine a recommended attribute of an advertisement display region from the user's log data, based on a second trained model using the one or more neural networks, when it is determined that it is the recommended time for outputting the advertisement content; and to adjust an attribute of the advertisement display region based on the determined recommended attribute and control the display to output the advertisement content in the attribute-adjusted advertisement display region.

Abstract: According to an embodiment, an image display device includes: a display; a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions: to determine whether it is a recommended time for outputting advertisement content, from a user's log data, based on a first trained model using one or more neural networks; to determine a recommended attribute of an advertisement display region from the user's log data, based on a second trained model using the one or more neural networks, when it is determined that it is the recommended time for outputting the advertisement content; and to adjust an attribute of the advertisement display region based on the determined recommended attribute and control the display to output the advertisement content in the attribute-adjusted advertisement display region.

Abstract: According to an embodiment, an image display device includes: a display; a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions: to determine whether it is a recommended time for outputting advertisement content, from a user's log data, based on a first trained model using one or more neural networks; to determine a recommended attribute of an advertisement display region from the user's log data, based on a second trained model using the one or more neural networks, when it is determined that it is the recommended time for outputting the advertisement content; and to adjust an attribute of the advertisement display region based on the determined recommended attribute and control the display to output the advertisement content in the attribute-adjusted advertisement display region.

Abstract: Provided is an artificial intelligence (AI) system simulating functions of a human brain, such as recognition and decision, by using a machine learning algorithm, such as deep-learning. Image display apparatuses are more convenient for a user, by performing user authentication by using an authentication image set generated based on an object recognized from content viewed by the user.

Abstract: An electronic device according to an embodiment of the present disclosure includes a display, a memory configured to store one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to recognize one or more objects from an image, determine one or more recommended applications respectively corresponding to the one or more objects through a learning model using one or more neural networks, and display the determined one or more recommended applications on the display so that the determined one or more recommended applications operate.

Abstract: Disclosed is a server apparatus. The server apparatus comprises: a communication unit for receiving, from an external server, multiple first viewing log data for each of a plurality of first users using a first broadcast receiving apparatus and multiple user information of each of the plurality of first users; and a processor for updating a predictive model for predicting, from the viewing log data, the number of users using the broadcast receiving apparatus and user information of each of the users, on the basis of the received multiple first viewing log data and the received multiple user information, wherein, when second viewing log data is received from a second broadcast receiving apparatus through the communication unit, the processor predicts, using the updated predictive model, the number of users using the second broadcast receiving apparatus and user information of each of the users.

Abstract: Disclosed is a server apparatus. The server apparatus comprises: a communication unit for receiving, from an external server, multiple first viewing log data for each of a plurality of first users using a first broadcast receiving apparatus and multiple user information of each of the plurality of first users; and a processor for updating a predictive model for predicting, from the viewing log data, the number of users using the broadcast receiving apparatus and user information of each of the users, on the basis of the received multiple first viewing log data and the received multiple user information, wherein, when second viewing log data is received from a second broadcast receiving apparatus through the communication unit, the processor predicts, using the updated predictive model, the number of users using the second broadcast receiving apparatus and user information of each of the users.

Abstract: Disclosed are: an image processing device; an operation method for the image processing device; and a computer-readable recording medium. According to an embodiment of the present disclosure, the operation method for the image processing device, which can be connected to a storage medium storing a file system, can comprise the steps of: communicating with a storage medium; storing, in a file system, logic information on the bad sector of the storage medium; and blocking the bad sector from accessing data on the basis of the logic information when recording data in the storage medium or reading the recorded data according to a request of a user.

Abstract: An electronic apparatus, in which a memory is efficiently managed, and a control method thereof are provided. The electronic apparatus includes a processor is configured to allocate at least one of a general memory and a kernel memory to a process corresponding to a program in response to execution of the program; calculate a total capacity of the general memory and the kernel memory allocated to each of a plurality of processes; and erase a selected process, among the plurality of processes, which is determined as having a low priority based on the calculated total capacity of the general memory and the kernel memory.

Abstract: An electronic device includes a memory storing software including an application, an inter-process communication (IPC) module supporting communication between processes, a first communication driver, and a second communication driver, and a processor executing the software stored in the memory. The processor is configured to determine, using the IPC module whether a destination of the data is inside the electronic device or outside the electronic device, if a transmission of data is requested from the IPC module by the application, to transmit the data through the first communication driver if the destination of the data is inside the electronic device, and to transmit the data through the second communication driver if the destination of the data is outside the electronic device.

Abstract: A display apparatus includes a communicator configured to communicate with an external device, a first storage configured to store data processed by the display apparatus, and a controller configured to check an available capacity of the first storage if receiving a request for using the first storage from the external device, to store first data of the external device corresponding to the request in the first storage if the available capacity of the first storage is equal to or higher than a reference value, and not to store the first data of the external device in the first storage if the available capacity of the first storage is lower than the reference value.

Abstract: An apparatus and method for dynamically managing a user's favorite channels are provided. The apparatus includes a user input unit receiving a channel change input from the user, a channel list storage unit storing an entire channel list comprising channels receivable using a tuner and channel preference information regarding the user's preference degrees for channels, a control unit calculating a preference degree for a channel selected in response to the channel change input received by the user input unit and analyzing a pattern of channel change inputs, and an output unit providing content of the selected channel according to calculation and analysis results of the control unit.

Abstract: An apparatus and method for dynamically managing a user's favorite channels are provided. The apparatus includes a user input unit receiving a channel change input from the user, a channel list storage unit storing an entire channel list comprising channels receivable using a tuner and channel preference information regarding the user's preference degrees for channels, a control unit calculating a preference degree for a channel selected in response to the channel change input received by the user input unit and analyzing a pattern of channel change inputs, and an output unit providing content of the selected channel according to calculation and analysis results of the control unit.