Abstract: Apparatuses and methods can be related to implementing a transformer neural network in a memory. A transformer neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the transformer neural network and perform operations consistent with the transformer neural network.

Abstract: The present disclosure relates to the field of EV-DWPT (electric vehicle dynamic wireless power transfer), and specifically discloses a double solenoid EV-DWPT system and a parameter optimization method thereof. The system is provided with a magnetic coupling mechanism, comprising a transmitting structure and a receiving structure. The transmitting structure includes a plurality of double solenoid transmitting rails arranged equidistantly along a road direction. Each double solenoid transmitting rail includes a square tubular magnetic core perpendicular to the road surface, and transmitting solenoids wound spirally using one and the same Litz wire wound in opposite directions.

Abstract: The present disclosure provides a method for separating a neural crest derived cell from peripheral blood. In the present disclosure, a mononuclear cell is separated from the peripheral blood and then directly cultured, thereby maximizing use of a neural crest stem cell with a differentiation potential to avoid loss of the neural crest stem cell. In the method of the present disclosure, a sample to be separated is derived from the peripheral blood. The method shows less trauma and low cost. Most importantly, compared to extracting the neural crest derived cell from tissues, the neural crest derived cell extracted from the peripheral blood can be used clinically as a type of biomarker.

Abstract: The present disclosure relates to the field of EV-DWPT (electric vehicle dynamic wireless power transfer), and specifically discloses a double solenoid EV-DWPT system and a parameter optimization method thereof. The system is provided with a magnetic coupling mechanism, comprising a transmitting structure and a receiving structure. The transmitting structure includes a plurality of double solenoid transmitting rails arranged equidistantly along a road direction. Each double solenoid transmitting rail includes a square tubular magnetic core perpendicular to the road surface, and transmitting solenoids wound spirally using one and the same Litz wire wound in opposite directions.

Abstract: A touch control method is provided. The touch control method is applied in a touch device including a plurality of touch electrodes, the touch control method includes: step S1, sending a scanning signal to the plurality of touch electrodes, the scanning signal being a multi-frequency scanning signal; step S2, acquiring touch data according to the multi-frequency scanning signal; and step S3, calculating a current touch position according to the touch data.

Abstract: An inspection system for determining wafer defects in semiconductor fabrication may include an image capturing device to capture a wafer image and a classification convolutional neural network (CNN) to determine a classification from a plurality of classes for the captured image. Each of the plurality of classes indicates a type of a defect in the wafer. The system may also include an encoder to encode to convert a training image into a feature vector; a cluster system to cluster the feature vector to generate soft labels for the training image; and a decoder to decode the feature vector into a re-generated image. The system may also include a classification system to determine a classification from the plurality of classes for the training image. The encoder and decoder may be formed from a CNN autoencoder. The classification CNN and the CNN autoencoder may each be a deep neural network.

Abstract: Embodiments are generally directed to compression in machine learning and deep learning processing. An embodiment of an apparatus for compression of untyped data includes a graphical processing unit (GPU) including a data compression pipeline, the data compression pipeline including a data port coupled with one or more shader cores, wherein the data port is to allow transfer of untyped data without format conversion, and a 3D compression/decompression unit to provide for compression of untyped data to be stored to a memory subsystem and decompression of untyped data from the memory subsystem.

Abstract: Embodiments of this application disclose a rule detection method, to increase rule anomaly detection coverage. The method in the embodiments of this application includes: determining, based on an obtained first initial priority corresponding to a first rule, an obtained second current priority corresponding to a second rule, and a determined inclusion relationship between the first rule and the second rule, a first current priority corresponding to the first rule; and then determining, based on a relationship between the first initial priority and the first current priority, whether an anomaly occurs on the first rule.

Abstract: Embodiments of this application provide a data processing method, apparatus, and computer-readable storage medium. The method includes acquiring a data processing request of a target service, the request including data to be processed; invoking a first worker node of the first server to execute an operation corresponding to a first service process of the target service on the data to be processed to obtain an intermediate processing result, the first worker node being a worker node on the first server for processing the first service process; and transmitting the intermediate processing result to a second server according to a next service process in a plurality of service processes in the target service, so that the second server invokes a second worker node to execute an operation on the intermediate processing result, the second worker node being a worker node on the second server for processing the next service process.

Abstract: This application provides a service processing method performed by a computer server. The method includes: receiving a message transmission request transmitted by a target Internet of Things (IoT) device; invoking a service processing plug-in to perform access authentication on the target IoT device, the service processing plug-in being configured in a message queuing telemetry transport (MQTT) server; invoking the service processing plug-in to acquire a message operation permission of the target IoT device when the access authentication is passed, the message operation permission indicating a message operation rule corresponding to the target IoT device; and executing a message transmission service indicated by the message transmission request when the message transmission request matches the message operation rule indicated by the message operation permission.

Abstract: Apparatuses and methods can be related to implementing a Bayesian neural network in a memory. A Bayesian neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the Bayesian neural network and perform operations consistent with the Bayesian neural network.

Abstract: A shielding structure and a manufacturing method thereof are provided. The shielding structure includes a metal housing, a plastic member, and a conductive trace. The metal housing has an inner surface and an internal space. The plastic member is disposed on the inner surface and in the internal space and has an accommodating space. The conductive trace is disposed on the plastic member and in the accommodating space, wherein the plastic member is between the conductive trace and the metal housing.

Abstract: A shielding structure and a manufacturing method thereof are provided. The shielding structure includes a metal housing, a plastic member, and a conductive trace. The metal housing has an inner surface and an internal space. The plastic member is disposed on the inner surface and in the internal space and has an accommodating space. The conductive trace is disposed on the plastic member and in the accommodating space, wherein the plastic member is between the conductive trace and the metal housing.

Abstract: Apparatuses and methods can be related to implementing a binary neural network in memory. A binary neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the binary neural network and perform operations consistent with the binary neural network. The weights of the binary neural network can correspond to non-zero values.

Abstract: Apparatuses and methods can be related to implementing a Bayesian neural network in a memory. A Bayesian neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the Bayesian neural network and perform operations consistent with the Bayesian neural network.

Abstract: Apparatuses and methods can be related to implementing a transformer neural network in a memory. A transformer neural network can be implemented utilizing a resistive memory array. The memory array can comprise programmable memory cells that can be programed and used to store weights of the transformer neural network and perform operations consistent with the transformer neural network.

Abstract: A BLyS antibody, preparation method therefor and application thereof, the BLyS antibody comprising one or more of CDR1, CDR2 and CDR3 of a heavy chain variable region of the BLyS antibody, and/or one or more of CDR1, CDR2 and CDR3 of a light chain variable region of the BLyS antibody. An amino acid sequence of the antibody is shown in a sequence listing. The BLyS antibody has a high affinity, and may observably and effectively seal a BLyS protein at a protein level and a cell level, and prevent the BLyS protein from binding to a receptor. The BLyS antibody lacks a cross-reaction with homologous protein antigens such as human APRIL, and enjoys good biological activity. The BLyS antibody may inhibit the proliferation of human BLyS-induced mouse B cells and may therefore be used for preparing a drug for preventing or treating diseases associated with BLyS expression or dysfunction.

Abstract: An inspection system for determining wafer defects in semiconductor fabrication may include an image capturing device to capture a wafer image and a classification convolutional neural network (CNN) to determine a classification from a plurality of classes for the captured image. Each of the plurality of classes indicates a type of a defect in the wafer. The system may also include an encoder to encode to convert a training image into a feature vector; a cluster system to cluster the feature vector to generate soft labels for the training image; and a decoder to decode the feature vector into a re-generated image. The system may also include a classification system to determine a classification from the plurality of classes for the training image. The encoder and decoder may he formed from a CNN autoencoder. The classification CNN and the CNN autoencoder may each be a deep neural network.

Abstract: An automated testing system is described for efficient testing of software applications. Locators are used by the test to find user interface elements in an application's graphical user interface during testing. If during a test a user interface element is not found, which may be due to a changed locator during code refactoring, the system finds the user interface element based on the element's type and on previously stored information about the element. Such information can be a snapshot image of the element, the coordinates of the element's location, dimensions of the element, or other information. Once the missing element is found, a new locator for the element is read and the test is performed using the new locator.

Abstract: An automated testing system is described for efficient visual verification of graphical user interfaces of software applications. A pattern is formed for the user interface of a page of the application indicating regions of the page where user interface elements should be located and identifying which user interface element should be located in which region. During test execution, image recognition is performed using previously stored snapshots of user interface elements to determine whether the application's user interface elements appear in correct positions on the page.