Abstract: A home appliance is disclosed. The home appliance of the present disclosure includes a display; a transceiver configured to receive data from an external server or a mobile terminal; a load driver configured to perform load control or safety control; a processor configured to display home a screen including information based on sensor data from a sensor device on the display, wherein the processor is configured to execute an operating system kernel, execute a hardware abstraction layer on the operating system kernel, execute a framework on the hardware abstraction layer, execute an application on the framework, display an image received from the server or the mobile terminal on the display, based on the framework, and display the information based on the sensor data on the display, based on the hardware abstraction layer and the framework.

Abstract: This disclosure provides systems, methods, and devices for automatic product classification using deep learning and generative artificial intelligence (AI) models for a harmonized system (HS) product classification. A method includes generating embeddings based on an input dataset. The method includes applying a deep learning model to the embeddings to produce a prediction set including classifications corresponding to the embeddings. The method includes converting the classifications to a first set of similarity metrics. The method includes determining a second set of similarity metrics based on the embeddings using a semantic similarity model. The method includes generating a third set of similarity metrics based on an output of the semantic similarity model. The method includes outputting a ranked set of predictions corresponding to the input dataset based on the first set of similarity metrics, the second set of similarity metrics, and the third set of similarity metrics.

Abstract: A computer-implemented method for generating domain specific training data for a large language model includes providing a domain specific ontology relating to the domain, providing domain specific information relating to the domain, and processing the domain specific information in a data processing-pipeline for structuring data for training of the large language model. The domain specific ontology is provided as a recognition pattern in a step of the data processing-pipeline, such that the structured training data includes domain specific ontology annotations.

Abstract: In some implementations, a computing system can deliver personalized content while preserving user privacy. For example, the computing system can include a content server that filters, deduplicates, and generates clusters of content items (e.g., articles, news stories, etc.) that are relevant to an investment identifier received in a request from a client device. The content server can send the clusters of content items to the requesting client. Upon receiving the clusters of content items, requesting client device can evaluate the content items based on user preferences stored on the user device and select a representative content item from one or more content item clusters. The selected content item can then be presented on a display of the user device. Thus, personalization of content item selection and presentation can be performed without distributing user preference data outside of the user device thereby preserving user privacy.

Abstract: Systems and methods of the present disclosure are configured to enable human annotators to quickly, and potentially in groups, annotate thousands of data points of content, so that each data point of content gets a value with respect to some attribute, so that data points of content showing more of the attribute have higher values than those showing less of the attribute. For example, a method includes presenting two content items of a plurality of content items via a user interface of a web-based application; receiving, via the user interface of a web-based application, an annotation relating to an indication of which of the two content items are associated with a criterion; and updating a score relating to the criterion for each of the plurality of content items based at last in part on the annotation.

Abstract: A relative risk can be determined using an originating Internet Protocol (IP) address as an identifying factor for purposes of authenticating a user. The originating IP address can be used as an identifying factor for a particular user account to determine potentially fraudulent activity and reduce the risk of fraud. This additional identifying factor can be used as a part of an overall authentication platform to help screen fraud attempts and to authenticate valid and non-fraudulent users. Using certain aspects can distinguish whether originating IP addresses are public or private. Some examples can track and match originating IP addresses to user accounts and also can keep track of recently active sessions for each IP address.

Abstract: A method, system, and computer program product detect and react to neural signals. The method includes monitoring the neural signals, which are collected from a user by a neural-computer interface (NCI) device. The method further includes detecting, based on the monitoring, an inhibitory signal in the neural signals and determining, in response to the detecting, that the inhibitory signal is aligned with an emotionally salient signal. Additionally, the method includes generating a notification in response to the determining that the inhibitory signal is aligned with the emotionally salient signal. The notification is displayed at an output device.

Abstract: Provided is a method for generating a lead time prediction model including: receiving input data from a user; identifying a final part corresponding to the input data; identifying one or more components that constitute the final part; classifying the identified one or more components into in-house production parts, which are produced in-house, and ordered parts, which are procured from suppliers; determining a lead time for the in-house production parts; obtaining first data including at least price data and historical lead time data, for each of the ordered parts; generating a model for generating a predicted lead time for at least one of the final part and the ordered parts, based on the obtained first data; and optimizing the model based on at least one of fixed costs, inventory costs, ordering costs, backlog costs, and demand loss costs.

Abstract: A method for identifying relationships between nodes in a graph is provided. The method comprises determining a count of relationships for each relationship type associated with each node in a pair of nodes on the graph. The relationship types are represented by edges connected to the nodes in the pair of nodes. A number of common relationships are determined between the pair of nodes for each relationship type. A count for each common relationship is determined for the number of common relationships between the pair of nodes. A similarity coefficient for each common relationship is determined based on the count for each common relationship and the count of relationships for each relationship type associated with each node in the pair of nodes. A weighted score is generated to represent strength for relationships between the pair of nodes using the similarity coefficients.

Abstract: A speaker and a rollable electronic device include a housing defining an accommodating cavity, a speaker structure arranged in the accommodating cavity, and an inverter tube arranged on the housing. A first sound outlet hole and a communicating hole are respectively in a first side wall and a second side wall of the accommodating cavity. The first side wall is connected to the second side wall. The inverter tube is connected to and extended along the second side wall. The inverter tube includes at least one inverter channel communicated with the accommodating cavity and a second sound outlet hole communicated with the at least one inverter channel. The inverter tube is retractable and stretchable along the second side wall to make the inverter tube be in a blocked state or be in a communicating state. By stretching or compressing the inverter tube, good sound experience is realized.

Abstract: An information processing device acquires first data regarding the quality of wireless communication from the first apparatus, and acquires second data regarding the mobile environment of the first apparatus. Further, based on the plurality of first and second data, communication quality data, which is data obtained by mapping the quality of wireless communication to a geographical region, is generated for each segment of the mobile environment.

Abstract: A wireless device may support a plurality of channel state information (CSI) processes. The wireless device may send an indication of a number of supported CSI processes to a first base station. The first base station may send to the wireless device a handover command, instructing the wireless device to handover to a second base station. The handover command may comprise configuration parameters for CSI processes associated with the second base station. The configuration parameters may be based on the number of CSI processes supported by the wireless device.

Abstract: Methods for the transmission of SCI messages in sidelink communications for the reservation of resources. The modulation and coding scheme of a second stage SCI may be indicated in the first stage SCI.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to method 300a and UE 101 for signalling multicast broadcast services (MBS) interest indication (MII). The method comprises of sending, to a source cell an MII message. The method further comprises of receiving from the source cell, one of: RRC_Reconfiguration or RRC_Reconfiguration with reconfigurationWithSync. The RRC_Reconfiguration or RRC_Reconfiguration with reconfigurationWithSync is received during UE mobility. The method further comprises of connecting with a target cell upon receiving one of: RRC_Reconfiguration or RRC_Reconfiguration with reconfigurationWithSync. The method finally comprises of sending the MII message to the target cell.

Abstract: The semiconductor light-emitting device includes a base layer including an n-type semiconductor layer, a tunnel junction part on the n-type semiconductor layer, and a p-type semiconductor layer on the tunnel junction part, a plurality of columnar semiconductors on the base layer, a buried layer filling in a space between each of the plurality of columnar semiconductors, and a current suppression region suppressing a current, where each of the plurality of columnar semiconductors has a hexagonal column, and an active layer covering the hexagonal column, where the hexagonal column has a hexagonal first surface and a second surface opposite to the first surface, where the first surface faces the base layer, where the second surface faces the current suppression region, where the buried layer is an n-type semiconductor, and where the hexagonal column is a p-type semiconductor.

Abstract: An object is to provide a light-emitting display device in which a pixel including a thin film transistor using an oxide semiconductor has a high aperture ratio. The light-emitting display device includes a plurality of pixels each including a thin film transistor and a light-emitting element. The pixel is electrically connected to a first wiring functioning as a scan line. The thin film transistor includes an oxide semiconductor layer over the first wiring with a gate insulating film therebetween. The oxide semiconductor layer is extended beyond the edge of a region where the first wiring is provided. The light-emitting element and the oxide semiconductor layer overlap with each other.

Abstract: A display substrate is provided. The display substrate includes a base substrate, and a shift register unit and a first clock signal line that are on the base substrate, the first clock signal line extends along a first direction on the base substrate and is configured to provide a first clock signal to the shift register unit, the shift register unit includes an input circuit, an output circuit, a first control circuit and an output control circuit, and the input circuit includes an input transistor, an active layer of the input transistor is in a strip shape extending along a second direction, and the second direction is different from the first direction.

Abstract: An electronic device including: a support; a semiconductor fin arranged on the support, in which quantum dots are intended to be formed; a plurality of separate first control gates, arranged on the side of a first lateral surface of the fin, one above the other and defining different gate levels, configured to each control the electrostatic potential of one of the quantum dots; at least one second control gate arranged on the side of a second lateral surface of the fin, and configured to control the electrostatic potential of a coupling region between the quantum dots; wherein the second control gate is offset, along a direction perpendicular to the upper surface of the support, with respect to the first control gates.

Abstract: The invention relates to a modular heated board system designed for outdoor applications. The system includes a plurality of modular heated boards that can be arranged in various configurations, including integration with conventional decking or to resemble furniture. Each board includes an outer surface layer exposed to external elements, an internal heating layer with electrical leads for power input and output, an insulating layer directing heat upwards, and an enclosing and fastening layer for attachment to structures. The boards can be electrically interconnected, allowing for a single power source to heat multiple boards. A transformer/control box is incorporated to regulate voltage and distribute power across the boards. The design ensures efficient heating, safety, and versatility in both new constructions and retrofit scenarios.

Abstract: A computer-implemented method for targeted monitoring of a patient in a bed comprises: receiving an image of the bed; predicting, based on a posture of the patient in the image, a pressure score for one or more contact regions between the patient and the bed; and providing an indication of the pressure score for the one or more contact regions.