Abstract: A method for calling hardware across devices includes: in response to a trigger operation by a user for a virtual hardware service corresponding to target hardware, acquiring, through a hardware coordination service interface, hardware metadata of the target hardware; sending, through a hardware cross-device call interface, a hardware call instruction to the target hardware based on the hardware metadata; sending, through a data stream transmission interface, a data stream acquisition request for the target hardware to the called device; and receiving data stream information returned by the called device in response to the data stream acquisition request, where the data stream information is generated in response to the target hardware executing the hardware call instruction.

Abstract: Systems and computer-implemented methods disclosed herein relate to detecting errors in manually entered data. In one embodiment, the system can identify a named entity automatically from a conversation between a customer and service agent with a named entity recognition model that employs natural language processing and machine learning to detect a word or string of words in the conversation that corresponds to a named entity category. In another embodiment, the system can determine whether data entered into a field on a service platform by the service agent includes an error by comparing the data entered with the named entity. In another embodiment, the system can transmit an alert to the service agent through the service platform when there is a mismatch between the named entity and the data entered.

Abstract: An object emotion analysis method and apparatus and an electronic device are provided. The method includes: extracting a static facial feature and a dynamic feature from multimedia data associated with a target object, wherein the dynamic feature includes one or more of an expression change feature, a sound feature and a language content feature: inputting the static facial feature and the dynamic feature into a pre-trained object emotion analysis model, fusing the static facial feature and the dynamic feature by the object emotion analysis model, and outputting an emotion analysis result.

Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of monitoring, a conversation script between a call center agent and a customer; utilizing, a speech-to-text deep machine learning model to transcribe the audio call to text; utilizing, a natural language processing deep machine learning model to map intent mappings of the audio call; utilizing, a similarity measurement model to determine a semantic similarity between predefined intent mappings and the intent mappings of the call audio text; determining, an error based on the semantic similarity in the intent mapping call audio text; determining a training session based on the error.

Abstract: A charging control method and an electronic device implementing a charging control method includes: sending a first data packet, in which, the first data packet includes to-be-charged identification information and first characteristic information of the first electronic device; receiving a second data packet corresponding to the first data packet sent by the second electronic device, in which, the second data packet includes power supply identification information and charging strategy information; determining and performing a charging strategy according to the second data packet, in which, the charging strategy includes at least one of: the first electronic device receiving power supply from the second electronic device, and the first electronic device supplying power to the second electronic device.

Abstract: A system and method for allowing a single live customer service agent to simultaneously serve multiple customers. According to various embodiments, a virtual agent operates at the front end to receive and attempt to handle customer issues. The virtual agent employs speech recognition and intent mapping in order to generate a proposed response that attempts to identify and resolve customer issues. In some scenarios, the proposed response includes both a response message and a response action to be taken. A chat history and the proposed response is then provided to the live agent. The live agent reviews the information provided, and determines whether the proposed response is appropriate. The live agent then approves the response or revises or replaces the response. The final response is sent back to the virtual agent for processing and providing to the customer.

Abstract: Provided herein is an apparatus for absorbing, capturing, and desorbing CO2 using solid amines, the apparatus comprising: a catcher used for capturing CO2 in flue gas and comprising a treatment chamber and a delivery pipe for adsorption of CO2 in the flue gas by means of a spherical solid amine adsorbent, the bottom end of the delivery pipe being provided with a flue gas inlet, a first solid amine inlet, and an adsorbent inlet; a desorber for heating and desorbing CO2 adsorbed by the solid amine adsorbent; and a cooler for cooling the solid amine adsorbent from the desorber. Also provided is a method for absorbing, capturing and desorbing CO2 using solid amine. The present invention realizes continuous operation of capture and desorption and can be used for capturing CO2 in large-scale industrial flue gas.

Abstract: A medical image associated with a volumetric medical dataset including a sheared volume, which dataset is received from a medical scanner, is rendered. The sheared volume is a series of 2D slices and a sheared direction. An auxiliary rectilinear volume is constructed such that the 2D slices are preserved, albeit with displaced 2D lattice, and the sheared direction is replaced by a direction orthogonal to the 2D slices. Nearest points on the sheared and the auxiliary rectilinear 3D lattices are determined. A value of a (e.g., binary) scalar field at a point on the sheared 3D lattice is assigned to the nearest point on the auxiliary rectilinear 3D lattice, where a Euclidean distance transform (EDT) is applied to the value of the scalar field. Based on the EDT value of the scalar field, the medical image is rendered.

Abstract: In some implementations, a system may capture audio from a call between a calling device and a called device. The system may filter the captured audio to generate a background audio layer. The system may generate an audio footprint that is a representation of sound in the background audio layer. The system may determine that the audio footprint includes a triggering sound footprint based on one or more audio characteristics of the audio footprint. The system may detect synthetic sound based on the audio footprint and after determining that the audio footprint includes the triggering sound footprint, wherein the synthetic sound is indicative of a sound recording. The system may transmit a notification to one or more devices associated with the call based on detecting the synthetic sound.

Abstract: Apparatuses, systems, and methods for implementing a multi-driver architecture are described. The multi-driver architecture may include a first driver and a second driver configured to receive an input voltage. A predriver logic circuit may select one of the first driver and the second driver to convert the input voltage into an output voltage. A controller may be connected to the first driver and the second driver, and a switch may be connected between an output terminal of the first driver and the controller. The controller may be configured to control an internal resistance of the switch. In response to the first driver being selected by the predriver logic circuit, the first driver may output the output voltage at a constant impedance level.

Abstract: This invention provides a low-temperature semen cryopreservation device, comprising: a box body for containing low-temperature cryoprotectant fluid; a tray, one end of which is pivotally connected to the inner side wall of the box body, and a limiting portion is provided on the tray for limiting the movement of the cryoprotectant tube. Two openings are sequentially arranged along the height direction on one side of the box body relative to the hinge end, with the height of one opening higher than that of the hinge end, and the height of the other opening lower than that of the hinge end; a limiting plate, which can be detachably inserted into either opening. When the limiting plate is switched from one opening to the other, the tray tilts to drive the cryopreservation tube to rotate 180 degrees, thereby ensuring the low-temperature cryoprotectant fluid to evenly fumigate the cryopreservation tube, improving the pre-cooling effect.

Abstract: A system and method for allowing a single live customer service agent to simultaneously serve multiple customers. According to various embodiments, a virtual agent operates at the front end to receive and attempt to handle customer issues. The virtual agent employs speech recognition and intent mapping in order to generate a proposed response that attempts to identify and resolve customer issues. In some scenarios, the proposed response includes both a response message and a response action to be taken. A chat history and the proposed response is then provided to the live agent. The live agent reviews the information provided, and determines whether the proposed response is appropriate. The live agent then approves the response or revises or replaces the response. The final response is sent back to the virtual agent for processing and providing to the customer.

Abstract: This invention provides a low-temperature semen cryopreservation device, comprising: a box body for containing low-temperature cryoprotectant fluid; a tray, one end of which is pivotally connected to the inner side wall of the box body, and a limiting portion is provided on the tray for limiting the movement of the cryoprotectant tube. Two openings are sequentially arranged along the height direction on one side of the box body relative to the hinge end, with the height of one opening higher than that of the hinge end, and the height of the other opening lower than that of the hinge end; a limiting plate, which can be detachably inserted into either opening. When the limiting plate is switched from one opening to the other, the tray tilts to drive the cryopreservation tube to rotate 180 degrees, thereby ensuring the low-temperature cryoprotectant fluid to evenly fumigate the cryopreservation tube, improving the pre-cooling effect.

Abstract: In some implementations, a system may capture audio from a call between a calling device and a called device. The system may filter the captured audio to generate a background audio layer. The system may generate an audio footprint that is a representation of sound in the background audio layer. The system may determine that the audio footprint includes a triggering sound footprint based on one or more audio characteristics of the audio footprint. The system may detect synthetic sound based on the audio footprint and after determining that the audio footprint includes the triggering sound footprint, wherein the synthetic sound is indicative of a sound recording. The system may transmit a notification to one or more devices associated with the call based on detecting the synthetic sound.

Abstract: This application describes techniques for displaying products in livestreaming. The techniques comprise displaying a first interface in response to a display request triggered by operating a preset icon on a web-based livestreaming page, wherein the first interface comprises product information and at least one view button corresponding to at least one product; and displaying a second interface in response to a view request triggered by operating the at least one view button, wherein the second interface comprises an identification code, wherein the identification code is configured to be scanned by a mobile terminal and to enter an application-based livestreaming page corresponding to the web-based livestreaming page, wherein the application-based livestreaming page and the web-based livestreaming page are associated with a live room of a same online streamer, and wherein the application-based livestreaming page comprises detailed information of a product.

Abstract: A system may include processor(s), and memory in communication with the processor(s) and storing instructions configured to cause the system to correct ASR errors. The system may receive a transcription comprising transcribed word(s) and may determine whether the transcribed word(s) exceed associated predefined confidence level(s). Responsive to determining a transcribed word does not exceed a predefined confidence level, the system may generate a predicted word. The system may calculate a distance between numerical representations of the transcribed word and the predicted word and may determine whether the distance exceeds a predefined threshold. Responsive to determining the distance exceeds the predefined threshold, the system may determine whether at least one red flag word of a list of red flag words corresponds to a context of the transcription, and, responsive to making that determination, may classify the transcription as associated with a first category.

Abstract: A heat pump system, a heat management method and a vehicle are provided. The heat pump system includes an integrated heat exchanger integrated with a superconducting liquid flow passage and a refrigerant flow passage. The refrigerant flow passage is provided inside an on-board refrigerant circulation loop and is used for cooling and/or heating to adjust the temperature within a passenger compartment of a vehicle. The superconducting liquid flow passage is in communication with a motor heat dissipating conduit, for absorbing the heat generated by an on board motor and transferring the heat to the integrated heat exchanger by means of phase change heat transfer. The heat pump system can increase the energy utilization rate for the vehicle and reduce the allowable ambient temperature of the heat pump system.

Abstract: Some embodiments of this specification disclose a knowledge graph construction method and system. The method includes: obtaining ontology definition data of a knowledge graph, where the ontology definition data includes node definition data of a plurality of nodes, the node definition data includes a node attribute value type, the node attribute value type is a basic type, a standard type, or a concept type, the basic type is used to represent a data type of an attribute value, the standard type is used to represent a fixed format of the attribute value, and the concept type is used to represent a multi-level structure of the attribute value; and processing instance data based on the ontology definition data to obtain the knowledge graph that includes a node instance of a standard type attribute value and/or a concept type attribute value.

Abstract: A system may include processor(s), and memory in communication with the processor(s) and storing instructions configured to cause the system to correct ASR errors. The system may receive a transcription comprising transcribed word(s) and may determine whether the transcribed word(s) exceed associated predefined confidence level(s). Responsive to determining a transcribed word does not exceed a predefined confidence level, the system may generate a predicted word. The system may calculate a distance between numerical representations of the transcribed word and the predicted word and may determine whether the distance exceeds a predefined threshold. Responsive to determining the distance exceeds the predefined threshold, the system may determine whether at least one red flag word of a list of red flag words corresponds to a context of the transcription, and, responsive to making that determination, may classify the transcription as associated with a first category.

Abstract: Systems and methods for reducing network traffic associated with a service. In some aspects, the systems and methods provide for using a first machine learning model to process a data stream for a communication with a user and generate a confidence score regarding whether to assign a communication suppression flag to the user account. Based on the confidence score not exceeding a first threshold, a communication suppression flag is not assigned to the user account. Based on the confidence score being between first and second thresholds, at least a portion of the data stream is extracted based on temporal proximity to a time stamp of an intent of the user to not receive further communications. Using a second machine learning model, the extracted portion of the data stream is processed to generate a prediction regarding whether to assign a communication suppression flag to the user account.