Abstract: A display substrate includes a substrate and a display region, an isolation region, a peripheral region and a hole disposed on the substrate, wherein the display region surrounds the hole, the isolation region is disposed between the display region and the peripheral region, and the peripheral region surrounds and adjoins the hole; the isolation region is provided with an isolation column and a first inorganic structure, the isolation column is disposed at a side of the substrate, and the first inorganic structure is disposed at a side of the isolation column away from the substrate; and the peripheral region is provided with a structure layer, and the structure layer is disposed on the substrate and includes a first organic structure and a second inorganic structure disposed along a direction perpendicular to the substrate; wherein the first inorganic structure, the second inorganic structure and the first organic structure all are made of an insulation material, and the first inorganic structure and the sec

Abstract: A method includes generating an intra-frame point cloud and an inter-frame point cloud based on point cloud data that includes a plurality of point cloud frames. The method further includes generating a motion vector associated with the intra-frame point cloud based on the intra-frame point cloud and the inter-frame point cloud. The method further includes generating a compressed inter-frame point cloud based on the inter-frame point cloud by using an encoder module of an autoencoder network. In addition, the method further includes generating compressed point cloud data based on the motion vector and the compressed inter-frame point cloud. According to solutions of embodiments of the present disclosure, the point cloud data can be compressed through a down-sampling convolution layer of the encoder module, and a correlation between the point cloud data can be captured by combining cross-attention layers, resulting in improved compression ratio, compression accuracy and point cloud data quality.

Abstract: A skin-like structure-based intelligent monitoring method for infrastructure includes: acquiring infrastructure data from multiple sensor nodes in the sensor network; constructing a spatiotemporal correlation model according to the infrastructure data from the multiple sensor nodes, and distinguishing the property of each sensor node in the sensor network according to the spatiotemporal correlation model; inputting the temporal feature and spatial feature of the spatiotemporal correlation model into the conditional variational autoencoder (CVAE) model to determine the risk coefficient of each sensor node; and performing visualization processing on the structural health state of the infrastructure according to the risk coefficient of each sensor node, and adjusting the infrastructure monitoring work of the sensor network according to the risk coefficient of each sensor node and the property of each sensor node.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for detecting stickers. The method in an illustrative embodiment includes sending, at a far edge, a sticker image of an object device to a near edge, wherein a sticker is attached to a surface of the object device, and the sticker image comprises an image of the sticker. The method further includes querying, at the far edge, label information of the object device. The method further includes receiving, at the far edge from the near edge, a classification result from classifying the sticker image. The method further includes comparing, at the far edge, the classification result with the label information. The method further includes sending, from the far edge, the sticker image to a cloud via the near edge in response to determining that the classification result is not matched with the label information.

Abstract: A computer system and associated processes for grouping similar real estate properties into contiguous neighborhoods and generating neighborhood-specific models capable of estimating property values within their neighborhoods. An artificial intelligence system directed to using a graph neural network framework to identify relationships between different parcel groups based on similar property features and embed the parcel groups into low dimensional space vectors. The method can include generating a graph and features relevant to the parcel groups that can train an embedding function that generate an embedding vector for each parcel group in a geographic unit grouping, such as a census tract. Embedding vectors of two or more parcel groups can then be compared to each other to determine whether the parcel groups are similar or to determine a housing valuation of a parcel group.

Abstract: The present invention discloses a drying apparatus and method for drying a substrate using supercritical fluid. The drying apparatus comprises an upper chamber, a lower chamber, a substrate tray, a lifting mechanism, a connecting assembly and a locking mechanism. The lower chamber is disposed below the upper chamber. The substrate tray is disposed on the lower chamber and is used for carrying the substrate. The lifting mechanism is disposed below the lower chamber and is used for driving the lower chamber to move in the vertical direction, so that the lower chamber is completely contacted with the upper chamber. The connecting assembly is connected to the upper chamber and the lower chamber. The locking mechanism is used to lock or loosen the connecting assembly when the lower chamber is in full contact with the upper chamber.

Abstract: A high-precision mapping method for an underground poor texture space based on mobile-fixed collaborative deviation correction includes: acquiring sensor data of sensor nodes determined based on the structure of the underground poor texture space; calculating the initial position data of an UAV; receiving sensor data through the UAV, and generating position data of the UAV by combining the initial position data of the UAV and lidar detection data of the UAV; correcting the position data of the UAV through a segmented mobile-fixed collaborative odometer; acquiring point cloud data for describing the structure of underground poor texture space; performing data fusion on the sensor data, the initial position data of the UAV, the corrected position data of the UAV and the point cloud data to obtain fused data, and establishing a high-precision map of the underground poor texture space, with each sensor node used as a feature point in the mapping.

Abstract: Provided is a method for planning embodied interaction of an intelligent agent based on active perception of environmental information.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for data augmentation. The method includes generating an image embedding based on an image in an unstructured document, and generating a text embedding based on text in the unstructured document and associated with the image. The method further includes acquiring descriptive information from a storage library based on the generated image embedding and text embedding. The method further includes adding the acquired descriptive information into the unstructured document. In this way, it can be possible not only to understand and analyze the unstructured document across modalities, but also to enrich it with a characterization of multimodal data in the unstructured document, thus increasing the amount and diversity of data.

Abstract: The present invention discloses a full cycle distributed monitoring and early warning method for a foundation pit structure, comprising: after the construction of a foundation pit is completed, building a distributed data sensor network of the foundation pit structure to collect real-time data of the foundation pit structure; installing sensor communication modules at all sensor installation points in the data sensor network of the foundation pit structure, and establishing a sensor communication transmission mechanism; analyzing and processing the real-time data of the foundation pit structure by an integrated computing service unit to obtain classification monitoring and overall monitoring results of the foundation pit structure, and issuing corresponding early warning information.

Abstract: Disclosed are engineered cells comprising chimeric antigen receptors and uses thereof for treating prostate cancer.

Abstract: The present disclosure provides a multi-view collaborative tracking method and apparatus for a fast moving target under a low luminance condition, including a multi-view target tracking algorithm based on radar-vision fusion data and an unmanned aerial vehicle (UAV) cluster collaborative tracking technology. This method takes the spatiotemporal normalized multi-source data as the learning objective of multi-agent reinforcement learning, to drive the cluster to collect data from multiple angles and directions. In this way, highly-efficient multi-angle collaborative observation can be performed on a high-speed moving object in an environment of weak texture and low luminance.

Abstract: Aspects of the disclosure provide for inferred pairing of objects and/or tracking devices to trips. For example, information associated with a first beacon signal generated by a first tracking device attached to a first object may be received from a first reader device. One or more reader devices that received any beacon signal generated by the first tracking device within a period of time may be identified. A second tracking device for which a second beacon signal was received by the identified one or more reader devices within the period of time may be identified. This second tracing device may be attached to a second object. In response to identifying the second tracking device, the second tracking device may be associated with a trip in order to track the second tracking device while the second object and the first object are on the trip.

Abstract: An apparatus comprises a processing device configured to generate a link-local network address for a given network node in a device-to-device communication network based on a unique identifier associated with the given network node. The processing device is also configured to determine at least one measure of radio access network signal strength for the given network node for at least one corresponding radio access network, and to assign one of a first and a second communication role in the device-to-device communication network to the given network node based at least in part on whether the at least one measure of the radio access network signal strength is above or below a designated threshold. The processing device is further configured to exchange data traffic between the given network node and the external data network based on which of the first and second communication roles is assigned to the given network node.

Abstract: Provided is a method for token-based representation and learning of robotic perception data based on a graph neural network, comprising: obtaining a plurality of types of perception data of a robot; performing token-based representation according to types of the plurality of types of perception data; constructing an initial feature graph based on the plurality of types of perception data after the token-based representation; learning a compact representation of the initial feature graph based on an autoencoder and reconstructing a graph structure; after the autoencoder completes learning of the graph structure, fixing the graph structure; and converting the plurality of types of perception data into node feature vectors, constructing a feature graph based on the graph structure, and performing numerical encoding on each of the node feature vectors by utilizing the graph neural network to obtain a representation of high-dimensional feature vectors of the plurality of types of perception data.

Abstract: A superconducting magnet may include multiple superconducting coils and multiple connection units. The multiple superconducting coils may be used to form a main magnetic field for magnetic resonance imaging. The superconducting coils may be arranged in an axial direction of the superconducting magnet. Each connection unit may be connected to two adjacent superconducting coils. At least one manner of connection to these two superconducting coils may be a detachable connection. The connection unit can be connected to a refrigerator of the superconducting magnet so that cold may be transferred to the superconducting coil via the connection unit. This advantageously help reduce maintenance costs of the superconducting magnet, and reduce temperature differences during cooling of the superconducting magnet.

Abstract: The present disclosure relates to a method for planning and controlling a humanoid behavior of a robot for close physical interactions, which includes: step S1, acquiring demonstration data of close interactions between the robot and human beings through motion capture; step S2, obtaining a plurality of human behavior pattern categories based on the demonstration data by using prior knowledge and clustering analysis; step S3, segmenting and calibrating the demonstration data based on the plurality of human behavior pattern categories to obtain a plurality of groups of movement primitive sequences including human behavior pattern labels, constructing a hierarchical directed graph, and obtaining a robot behavior planner through training; and step S4, constructing a dynamically consistent mapping model between a target trajectory and an action space, and realizing the planning and control of the humanoid behaviors of the robot based on the dynamically consistent mapping model and the robot behavior planner.

Abstract: Methods, apparatus, and processor-readable storage media for generating 3D images using transformer-based and diffusion-based artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining at least one 2D image; generating one or more point cloud tokens and one or more triplane tokens based at least in part on at least portions of the at least one 2D image; determining multiple 3D features associated with the at least portions of the at least one 2D image by processing at least a portion of the one or more point cloud tokens and at least a portion of the one or more triplane tokens using one or more transformer-based artificial intelligence techniques; and generating a 3D image associated with the at least portions of the at least one 2D image by processing at least a portion of the multiple 3D features using one or more diffusion-based artificial intelligence techniques.

Abstract: Disclosed herein is a system and method for implementing a personalized ultrasound neuromodulation system and methods with neural sensing of personalized electrophysiological data, guiding ultrasound targeting and dosage using such personalized data. Specific ultrasound transducer solutions are provided for various neural targets that enable the low-intensity focused ultrasound to modulate the central nervous system and peripheral nervous systems to treat a variety of neurological and mental disorders. A portable ultrasound console device, a wearable guiding apparatus and a compact solution for effectively and safely enabling point-of-care neuromodulation, e.g., home healthcare, are provided. Further methods for ultrasound waveform customization are also described to improve effectiveness of ultrasound neuromodulation.

Abstract: This disclosure provides a method for ping pong roaming control performed by an access point (AP), a method for ping pong roaming control performed by a controller, an AP, a controller, a non-transitory computer readable storage medium and a computer program product. The method for ping pong roaming control, the method is performed by a controller and includes: receiving one or more connection instability events of one or more stations (STAs) from one or more APs; identifying a ping pong roaming event of a first STA of the one or more STAs based on the one or more connection instability events; determining a ping pong roaming processing strategy for the first STA; and transmitting a ping pong roaming processing instruction to at least one AP of the one or more APs to perform ping pong roaming processing operations based on the determined ping pong roaming processing strategy.