Abstract: This application discloses an identity authentication method, a method and an apparatus for training an identity authentication model, and a computer-readable medium in the artificial intelligence field to improve accuracy of identity authentication.

Abstract: Devices and systems are provided herein relating to a novel and rapid assay for tissue staining. Methods for using the devices and systems for analyzing tissue samples are also disclosed.

Abstract: A method and system for generating training data for training a gesture detection machine-learning (ML) model includes receiving a request to generate training data for the gesture detection model, the training data being associated with a target gesture, retrieving data associated with an original gesture, the original gesture being a gesture made using a body part, retrieving skeleton data associated with the target gesture, the skeleton data displaying a skeleton representative of the body part and the skeleton displaying the target gesture, aligning a location of the body part in the data with a location of the skeleton in the skeleton data, providing the aligned data and the skeleton data to an ML model for generating a target data that displays the target gesture, receiving the target data as an output from the ML model, the target data preserving a visual feature of the data and displaying the target gesture, and providing the target data to the gesture detection ML model.

Abstract: A machining apparatus error correction method is implemented in a machining apparatus error correction system. The method includes setting initial operating parameters according to a predetermined machining program, obtaining dimensional detection data during machining of a product, calculating a dimensional correction parameter according to the detection data and a dimensional inspection standard according to a predetermined correction model and generating a correction parameter file readable by the machining apparatus, and distributing the correction parameter file to the corresponding machining apparatus. The initial operating parameters include clamping parameters and dimensional inspection standards.

Abstract: The disclosure relates to methods, apparatuses, electronic devices, and storage media for acquiring programs in a live streaming room. The method includes acquiring a program acquisition condition and triggering to save live streaming room data of a user account as a target program in response to detecting that a live streaming behavior of the user account meets the program acquisition condition, to provide the target program to an associated user account of the user account.

Abstract: A bidirectional isolated communication circuit and method for a differential signal. The circuit comprises a first detection circuit used for receiving a first differential pair from a first direction, converting the first differential pair into a first level signal, and inhibiting common-mode interference; a second detection circuit used for receiving a second differential pair from a second direction, converting the second differential pair into a second level signal, and inhibiting common-mode interference; an isolation adjustment circuit used for being provided between the first detection circuit and the second detection circuit and performing communication isolation; and a watchdog circuit used for being awoken according to the first differential pair and/or the second differential pair, and enabling the bidirectional isolated communication circuit to enter from a small current working mode to a normal working mode to perform communication isolation.

Abstract: Systems and methods for providing summarization, indexing, and post-processing of a recorded document presentation are provided. The system accesses a structured document and recordings associated with a recorded presentation given using the structured document. The system analyzes, using machine-trained models, the structured document, audio and video recordings, and recording of operations performed during the presentation. The analyzing comprises generating a transcript of the audio recording, determining context of components of the structured document, and deriving context from the video recordings and recording of operations. Based on the analyzing, the system segments the recorded presentation into a plurality of segments and generates an index of the plurality of segments that is used for post-processing.

Abstract: Systems and methods for providing a machine learning-powered framework to transform overloaded text documents is provided. The system generates a plurality of candidate templates offline. During runtime, the system accesses a text document and analyzes the text document to identify segmentation data. The segmentation data can indicate a plurality of segments derived from the text document. The system then accesses a plurality of candidate templates, whereby each candidate template comprises a plurality of pages having a different background element that shares a common theme. The plurality of candidate templates are ranked based on at least the segmentation data. The network then generates multiple presentation pages for each of a predetermined number of top ranked candidate templates by incorporating each of the plurality of segments into a corresponding page of the plurality of pages for each of the top ranked candidate templates.

Abstract: Systems and methods for providing summarization, indexing, and post-processing of a recorded document presentation are provided. The system accesses a structured document and recordings associated with a recorded presentation given using the structured document. The system analyzes, using machine-trained models, the structured document, audio and video recordings, and recording of operations performed during the presentation. The analyzing comprises generating a transcript of the audio recording, determining context of components of the structured document, and deriving context from the video recordings and recording of operations. Based on the analyzing, the system segments the recorded presentation into a plurality of segments and generates an index of the plurality of segments that is used for post-processing.

Abstract: A machining apparatus error correction method is implemented in a machining apparatus error correction system. The method includes setting initial operating parameters according to a predetermined machining program, obtaining dimensional detection data during machining of a product, calculating a dimensional correction parameter according to the detection data and a dimensional inspection standard according to a predetermined correction model and generating a correction parameter file readable by the machining apparatus, and distributing the correction parameter file to the corresponding machining apparatus. The initial operating parameters include clamping parameters and dimensional inspection standards.

Abstract: Processes and systems for correlating well log data sets from well logging passes within a well bore. In some embodiments, a process for well log depth matching can include normalizing a first well log from a first logging pass obtained within a well bore and a second well log from a second logging pass obtained within the well bore, performing a pre-shift, performing feature picking to identify one or more features along the second well log, performing normalized cross-correlation based optimization between the first well log and the second well log to match the one or more features along the second well log to the same one or more features of the first well log and generating a shift table for depth shifting the one or more features of the second well log and the first well log.

Abstract: Systems and methods for providing summarization, indexing, and post-processing of a recorded document presentation are provided. The system accesses a structured document and recordings associated with a recorded presentation given using the structured document. The system analyzes, using machine-trained models, the structured document, audio and video recordings, and recording of operations performed during the presentation. The analyzing comprises generating a transcript of the audio recording, determining context of components of the structured document, and deriving context from the video recordings and recording of operations. Based on the analyzing, the system segments the recorded presentation into a plurality of segments and generates an index of the plurality of segments that is used for post-processing.

Abstract: A radial-leaded over-current protection device comprises a PTC element, a first electrode lead, a second electrode lead and an electrically insulating encapsulation layer. The PTC element comprises a first conductive layer, a second conductive layer and a PTC material layer laminated therebetween. The PTC material layer comprises crystalline polymer and conductive filler dispersed therein. The first electrode lead has an end connecting to the first conductive layer, whereas the second electrode lead has an end connecting to the second conductive layer. The electrically insulating encapsulation layer includes a fluorine-containing polymer, and wraps around an entire outer surface of the PTC element and the ends of the first and second electrodes connecting to the PTC element. The electrically insulating encapsulation layer has a thickness of 102˜105 nm, and the radial-leaded over-current protection device has an initial resistance Rbf of 0.0017˜0.0027?.

Abstract: A surface-mountable over-current protection device comprises at least one PTC material layer, a first conductive layer, a second conductive layer, a first electrode, a second electrode, an insulating layer, and a cover layer. The PTC material layer comprises crystalline polymer and conductive fillers dispersed therein. The first conductive layer and the second conductive layer are disposed on a first surface and a second surface of the PTC material layer, respectively. The first electrode and the second electrode are electrically connected to the first conductive layer and the second conductive layer, respectively. The insulating layer is disposed between the first electrode and the second electrode for insulation. The cover layer includes a fluorine-containing polymer, and wraps around an entire outer surface of the surface-mountable over-current protection device.

Abstract: An apparatus and a method for processing a capacitor according to the present disclosure may include a clamping module grabbing or releasing a capacitor to transport the capacitor, and a first processing module and a second processing module matched with each other to process and test leads of the capacitor, and simultaneously perform various processes through different processing units formed in the first processing module and symmetrical processing units formed in the second processing module and corresponding to be matched with the processing units. By providing the apparatus and method for processing the capacitor, it is possible to process a larger amount of capacitors assembled to a capacitor assembly and identify and remove the electrical defect before assembled to the assembly.

Abstract: Aspects of the present disclosure generally relate to magnetic recording heads of magnetic recording devices. A read head includes a first reader, an insulating separation layer, and a second reader disposed above the insulating separation layer. The second reader includes a magnetic seed layer and a cap layer. The second reader includes a first upper free layer disposed between the magnetic seed layer and the cap layer, and a second upper free layer disposed between the first upper free layer and the cap layer. The second reader includes a barrier layer. In one implementation the second reader includes an antiferromagnetic (AFM) layer disposed between the magnetic seed layer and the insulating separation layer to pin the magnetic seed layer.

Abstract: The present disclosure discloses a method for determining optimal preservation temperature of the anaerobic ammonia oxidation biofilm in wastewater treatment, and belongs to the technical field of environmental engineering. The method of the present disclosure characterizes the ratio of living cells, early apoptotic cells, late apoptotic cells and dead cells in the anaerobic ammonia oxidation biofilm by flow cytometry, and the optimum storage temperature can be measured within a few hours. The method of the present disclosure performs correlation analysis on the characteristic indexes of the anaerobic ammonia oxidation biofilm activity recovery process to verify the reliability of the data. By using the method of the present disclosure, the step of recovering the biofilm activity can be omitted, the removal rates of ammonia nitrogen and total nitrogen were over 90% and 85%, respectively.

Abstract: The present disclosure relates to processing operations that execute image classification training for domain-specific traffic, where training operations are entirely compliant with data privacy regulations and policies. Image classification model training, as described herein, is configured to classify meaningful image categories in domain-specific scenarios where there is unknown data traffic and strict data compliance requirements that result in privacy-limited image data sets. Iterative image classification training satisfies data compliance requirements through a combination of online image classification training and offline image classification training. This results in tuned image recognition classifiers that have improved accuracy and efficiency over general image recognition classifiers when working with domain-specific data traffic. One or more image recognition classifiers are independently trained and tuned to detect an image class for image classification.

Abstract: Automatic generation of intelligent content is created using a system of computers including a user device and a cloud-based component that processes the user information. The system performs a process that includes receiving an input document and parsing the input document to generate inputs for a natural language generation model using a text analysis model. The natural language generation model generates one or more candidate presentation scripts based on the inputs. A presentation script is selected from the candidate presentation scripts and displayed. A text-to-speech model may be used to generate a synthesized audio presentation of the presentation script. A final presentation may be generated that includes a visual display of the input document and the corresponding audio presentation in sync with the visual display.

Abstract: A method and system for detecting one or more speech features in speech audio data includes receiving speech audio data, performing preprocessing on the speech audio data to prepare the speech audio data for use as an input into one or more models that detect one or more speech features, providing the preprocessed speech audio data to a stacked machine learning model, and analyzing the preprocessed speech audio data via the stacked ML model to detect the one or more speech features. The stacked ML model includes a feature aggregation model, a sequence to sequence model, and a decision-making model.