Abstract: An integrated circuit structure includes a semiconductor substrate, a passivation layer, a first protective layer, and a second protective layer. The passivation layer is over the semiconductor substrate. The first protective layer is over the passivation layer. The second protective layer is over the first protective layer, wherein a boundary of the first protective layer is confined within the second protective layer.

Abstract: A display device and a display method are provided. The display device includes a display mechanism and a motion mechanism. The display mechanism includes a plurality of first display groups, a plurality of second display groups, and a plurality of third display groups arranged along a first direction. The motion mechanism is respectively connected to the first display groups, the second display groups, and the third display groups, and is configured to guide the first display groups, the second display groups, the third display groups to move along the first direction.

Abstract: Embodiments of the present application provide an acceleration management node. The acceleration management node separately receives acceleration device information of all acceleration devices. The acceleration device information includes an algorithm type, an acceleration bandwidth or non-uniform memory access architecture (NUMA). The acceleration management node obtains an invocation request from a client. The acceleration management node queries the acceleration device information to determine, from all the acceleration devices of the at least one acceleration node, a target acceleration device matching the invocation request. The acceleration management node further instructs a target acceleration node to respond to the invocation request.

Abstract: A machine learning system includes multiple machine learning models. A target object, such as a file, is scanned for machine learning features. Context information of the target object, such as the type of the object and how the object was received in a computer, is employed to select a machine learning model among the multiple machine learning models. The machine learning model is also selected based on threat intelligence, such as census information of the target object. The selected machine learning model makes a prediction using machine learning features extracted from the target object. The target object is allowed or blocked depending on whether or not the prediction indicates that the target object is malicious.

Abstract: Systems and methods for orthognathic surgical planning are described herein. An example computer-implemented method can include generating a composite three-dimensional (3D) model of a subject's skull, defining a global reference frame for the composite 3D model, performing a cephalometric analysis on the composite 3D model to quantify at least one geometric property of the subject's skull, performing a virtual osteotomy to separate the composite 3D model into a plurality of segments, performing a surgical simulation using the osteotomized segments, and designing a surgical splint or template for the subject.

Abstract: Methods and systems for establishing dental occlusion are described herein. These systems and methods can be used for 1-, 2-, or 3-piece maxillary orthognathic surgeries. An example computer-implemented method includes receiving a maxillary dental model and a mandibular dental model, identifying a plurality of dental landmarks in each of the maxillary and mandibular dental models, and extracting a plurality of points-of-interest from each of the maxillary and mandibular dental models. The dental landmarks include a plurality of maxillary dental landmarks and a plurality of mandibular dental landmarks. The method further includes aligning the maxillary and mandibular points-of-interest, and fine tuning the alignment of the maxillary and mandibular dental models to achieve maximum contact with a collision constraint.

Abstract: This application discloses a neural network model update method, an image processing method, and an apparatus in the field of artificial intelligence. The neural network model update method includes: obtaining a structure of a neural network model and a related parameter of the neural network model; training the neural network model based on the related parameter of the neural network model to obtain a trained neural network model; and if an evaluation result of the trained neural network model does not meet a preset condition, updating at least two items of the related parameter of the neural network model and the structure of the neural network model until an evaluation result of an updated neural network model meets a preset condition and/or a quantity of updates reaches a preset quantity of times. According to the method in this application, efficiency of updating a neural network model can be improved.

Abstract: A method for determining a tubing deviation from nuclear measurement data includes acquiring neutron measurement data from a wellbore. The method also includes identifying one or more features from the neutron measurement data. The method further includes determining, based at least in part on a pattern matching algorithm, that the one or more features are indicative of a tubular deviation. The method also includes determining, based at least in part on a comparison between the one or more features, a deviation amount.

Abstract: A visualized editing method, device and apparatus are provided. The method includes: displaying an editing interface; in a page presentation state of the editing interface, displaying, on the editing interface, a structure presentation area and an edition area, wherein the structure presentation area comprises a framework structure and a hierarchy of components described with an interface presentation language, and the editing area comprises an editable attribute of each component; in response to a component selection operation, selecting a target component from the components in the framework structure and the hierarchy of the structure presentation area; and in response to an editing operation on the target component, editing logical description codes of an attribute of the target component in the edition area. Accordingly, it is possible to improve code editing efficiency.

Abstract: A ball joint holder with limiting element includes a lower base, an upper base covered to the lower base, a ball shaft and a limiting element. The ball shaft has a rotation rod, and a ball body located around a lower end of the rotation rod. A lower end of the rotation rod protrudes outward to form a limiting block. Two opposite ends of the limiting element are pivotally connected with the lower base and the upper base. The limiting element opens a limiting groove. One of inner surfaces of a front wall and a rear wall of the limiting groove is defined as a limiting surface. The lower end of the rotation rod and the limiting block are received in the limiting groove. The limiting block is capable of abutting against the limiting surface.

Abstract: Provided are a voice skill game editing method, an apparatus, a device and a readable storage medium, which involve displaying a plurality of node elements having a hierarchical relationship and a cascading element for connecting a parent node and a child node in a node editing area of a user editing interface; acquiring voice scenario information configured by a user for the node elements in an element configuration area of the node elements when the node elements are determined as in an active state; acquiring voice skill control information configured by the user for the cascading element in an element configuration area of the cascading element when the cascading element is determined as in an active state; and determining, according to the hierarchical relationship corresponding to the node elements and the voice skill control information configured for the cascading element, game logic between the voice scenario information.

Abstract: A head band; and a pair of earmuffs being respectively mounted on two ends of the head band, each of the earmuffs has a speaker and a cushion. The cushion has an annular elastic portion protruded from a peripheral of the cushion and a chamber is surrounded by the annular elastic portion. The speaker has a back housing. A circuit board mounted to the back housing. A connector mounted on the circuit board. A speaker unit mounted to the back housing. A front housing covers the speaker unit and is assembled with the back housing. An opening penetrated through the front housing. A pressure sensor is disposing in the opening. A flexible circuit board connected between the pressure sensor and the connector of the circuit board. The cushion attached to the front housing. The pressure sensor is located in the chamber.

Abstract: Technical solutions in this application are applied to the field of artificial intelligence. This application provides a neural network training method, a method for performing data processing by using a neural network trained by using the method, and a related apparatus. According to the training method in this application, a target neural network is trained in an adversarial manner, so that a policy search module can continuously discover a weakness of the target neural network, generate a policy of higher quality according to the weakness, and perform data augmentation according to the policy to obtain data of higher quality. A target neural network of higher quality can be trained according to the data. In the data processing method in this application, data processing is performed by using the foregoing target neural network, so that a more accurate processing result can be obtained.

Abstract: A method for identifying defects in a multi-barrier wellbore includes receiving log data, the log data corresponding to one or more wellbore operations, the log data including data from at least one measurement modality corresponding to a present measurement modality. The method also includes training, using the log data, a machine learning model. The method further includes acquiring wellbore data, via the present measurement modality, during a logging operation. The method also includes processing at least a portion of the wellbore data using the trained machine learning model. The method includes identifying one or more features of interest in the wellbore data, via the trained machine learning model.

Abstract: This application provides an image recognition method and device. The image recognition method includes: setting a presentation time sequence corresponding to an image sequence includes N images, the presentation time sequence includes unequal presentation times, a difference between any two presentation times of the unequal presentation times is k×?, k is a positive integer, and ? is a preset time period value; processing the image sequence by using a computer vision algorithm, to obtain a computer vision signal corresponding to each image in the image sequence; obtaining a feedback signal that is corresponding to each image in the image sequence generated when an observation object watches the image sequence displayed in the presentation time sequence; and fusing, for each image in the image sequence, a corresponding computer vision signal and a corresponding feedback signal to obtain a target recognition signal of each image in the image sequence.

Abstract: The present invention provides a top item holder for placing on top of a screen. The top item holder includes an anti-tilt means, at least one slider, a slide rail and at least one holder unit. The anti-tilt means is for preventing the top item holder from being relatively tilting with respect to the screen. The slide rail is disposed at a top of the anti-tilt means. The slider is slidably disposed on the slide rail and can slide in a sliding direction within a sliding travel. The holder unit is disposed on the slider. Thereby, top space of the screen can be effectively utilized, and relocation of the holder unit becomes more convenient.

Abstract: Embodiments provide a voice interaction method, a device, and a storage medium. The method includes: transmitting obtained audio data of a user to a server for semantic understanding, to obtain structured data; receiving the structured data returned by the server; and controlling, according to a running game and the structured data, the game to perform a corresponding operation. In the embodiments, voice recognition and semantic understanding technologies are used to enable a user to complete an operation of a game under a dialogue interaction through a communication between a terminal device and a server, thus enhancing game experience of the user and improving entertainment and convenience.

Abstract: Embodiments of the present application provide an acceleration management node. The acceleration management node separately receives acceleration device information of all acceleration devices. The acceleration device information includes an algorithm type, an acceleration bandwidth or non-uniform memory access architecture (NUMA). The acceleration management node obtains an invocation request from a client. The acceleration management node queries the acceleration device information to determine, from all the acceleration devices of the at least one acceleration node, a target acceleration device matching the invocation request. The acceleration management node further instructs a target acceleration node to respond to the invocation request.

Abstract: The present disclosure provides a method and a system for interacting with a third-party application. The method includes receiving voice data from a user for launching the third-party application; sending the voice data to a cloud server; receiving the instruction for launching the third-party application from the cloud server; executing the instruction to launch the third-party application; receiving voice data for operating the third-party application from the user after the third-party application is launched; sending the voice data to the cloud server, such that the cloud server performs voice recognition and semantic understanding on the voice data to obtain an instruction for operating the third-party application; receiving the instruction for operating the third-party application sent by the cloud server and forwarding the instruction to the third-party application, such that the third-party application executes the instruction.

Abstract: A pulse waveform measurement system includes an LED light source providing an incident beam having a predetermined wavelength onto a radial or other artery, samples reflected light at a predetermined sample rate, computes, and displays a pulse waveform and various parameters associated therewith. The wavelength and sample rate are set so as to provide desired data quality.