Abstract: Methods, apparatus, and computer program products for multimodal artificial intelligence-based communication systems are provided herein. A computer-implemented method includes generating, using a first set of one or more artificial intelligence techniques, identifying information for one or more objects detected in image data associated with at least one user query; generating at least one updated version of the at least one user query by processing, using a second set of one or more artificial intelligence techniques, at least a portion of the at least one user query in conjunction with at least a portion of the identifying information for the one or more objects; generating at least one response to the at least one updated version of the at least one user query; and performing one or more automated actions based at least in part on the at least one response.

Abstract: A plurality of different images of a same region of interest in an object are input into a set of neural networks, wherein each image of the region has been captured under a different value of a variable condition. A classification for each image is generated by the set of neural networks, wherein each classification includes a confidence score in a prediction of whether a feature is present in the region. The image classifications are ensembled to generate a final classification for the region. By applying a loss function, a loss is computed based on comparing the final classification to a ground truth of whether the feature is present in the region. The parameters of the set of neural networks are adjusted based on the computed loss.

Abstract: The present invention provides a double-crosslinked fibrin gel, which is a solid hydrogel composed of a network structure with a blocking function and a network structure with an adhesion function, where the network structure with the blocking function is a three-dimensional fibrin network, and the network structure with the adhesion function is a three-dimensional photosensitive gel network; each channel of the photosensitive gel network has a group of the fibrin network inside, and each group of the fibrin network has overall continuity; on the whole, the three-dimensional fibrin network disperses disorderly throughout a surface and an interior of the solid hydrogel. The present invention further provides a raw material composition, a kit for preparing the double-crosslinked fibrin gel, and an application of the kit to prepare an in-situ rapid clotting and hemostatic material.

Abstract: Aspects of the subject disclosure may include, for example, detecting a plurality uplink data packets on a network, the plurality of uplink data packets conveying application protocol messages from an application on a mobile device to an application server providing a service to the application on the mobile device over the network; providing data packets of the plurality uplink data packets to a machine learning model, the machine learning model trained to identify respective application protocol messages from the data packets; receiving from the machine learning model an indication that a start video download application protocol message has been identified by the machine learning model, the start video download application protocol message requesting initiation of a video download to the application on the mobile device from the application server; detecting a plurality of downlink data packets on the network, the plurality of downlink data packets conveying video content data to the mobile device in respo

Abstract: Aspects of the subject disclosure may include, for example, detecting a plurality uplink data packets on a network, the plurality of uplink data packets conveying application protocol messages from an application on a mobile device to an application server providing a service to the application on the mobile device over the network; providing data packets of the plurality uplink data packets to a machine learning model, the machine learning model trained to identify respective application protocol messages from the data packets; receiving from the machine learning model an indication that a start video download application protocol message has been identified by the machine learning model, the start video download application protocol message requesting initiation of a video download to the application on the mobile device from the application server; detecting a plurality of downlink data packets on the network, the plurality of downlink data packets conveying video content data to the mobile device in respo

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to generating images from sound waves using discrete natural language tokens as bridging features. The computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise an image generation component that can use a first neural network model to generate an image of an environment detected by an imaging sonar, based on discrete tokens in natural language that can represent sound waves reflected by structures in the environment, wherein the discrete tokens can be non-semantic.

Abstract: According to one embodiment, a method, computer system, and computer program product for predicting the movement intentions of ships is provided. The present invention may include obtaining binocular camera visual data of a body of water; identifying physical objects in the body of water; generating feature point clouds of the physical objects in the body of water; performing instance segmentation on the generated feature point clouds; analyzing the generated feature point clouds; predicting the movement intentions of identified ships in the body of water based on the analyzed feature point clouds; and displaying the predicted movement intentions of the identified ships in the body of water on an augmented reality device.

Abstract: Provided are a tiled display panel and a display device. The tiled display panel includes a transparent substrate and at least two display subpanels. The at least two display subpanels are disposed in at least two tiled regions of the transparent substrate respectively. A first alignment pattern on the transparent substrate includes at least two first sub-patterns. The at least two first sub-patterns are disposed in the at least two tiled regions respectively. A first sub-pattern includes a hollowed-out region. A second alignment pattern on a display subpanel includes at least two second sub-patterns. The shape of a second sub-pattern is the same as the shape of the hollowed-out region. The vertical projection of the second sub-pattern on the transparent substrate is located in the hollowed-out region.

Abstract: A method, computer program product, and computer system are provided for predicting treatment options based on cardiac auscultation data. Text data and audio data corresponding to cardiac auscultation associated with a patient is received. The text data and the audio data are encoded as respective text vectors and audio vectors. A distance between the text vectors and the audio vectors is calculated. Diagnosis results are determined by a machine learning model based on the calculated distance between the text vectors and the audio vectors.

Abstract: In an aspect for generating a 2-dimensional (2D) building mapping, a computer-implemented method may include one or more processors configured for receiving scanning data in a first file format corresponding to 3-dimensional (3D) aerial Light Detection and Ranging (LiDaR) images. Further, the method may include transforming the first file format to a second file format and transmitting the scanning data to a building semantic segmentation component. Further, the computer-implemented method may include generating semantic segmentation data corresponding to building structures defined by point clusters; generating instance segmentation data corresponding to top surfaces of the building structures; generating building boundary data for each one of the point clusters based on one or more of the semantic segmentation data and the instance segmentation data; and processing the building boundary data to generate a 2D building mapping comprising refined boundary lines for each of the point clusters.

Abstract: A method for restoration of a kinetic event using video. The method includes obtaining video involving the kinetic event including a plurality of frames. An absolute location of a frame of the plurality of frames is determined. Movement of a feature point cloud corresponding to an object in motion in the plurality of frames is analyzed. A 3D object model with substantially similar dimensions to the object in motion is selected. The 3D object model is displayed emulating the analysed movement on the 3D map based on the absolute location.

Abstract: A computer-implemented method for providing a user with a digital companion in a three-dimensional (3D) environment is provided. The computer-implemented method includes recognizing content of the 3D environment, obtaining a point-of-view (POV) of the user in the 3D environment, displaying the digital companion to the user in the 3D environment based on the content and the POV, moving the digital companion through the 3D environment with the user while continuing the displaying and executing communicative interaction between the digital companion and the user based on the content and one or more communications of the user.

Abstract: According to one embodiment, a method, computer system, and computer program product for building an acoustic model is provided. The present invention may include performing contrastive pre-training of the acoustic model; building a dataset classifier using prompt engineering; performing a prediction process; and performing zero-shot audio prediction using the pre-trained acoustic model.

Abstract: Embodiments of the present disclosure provide systems and methods for implementing enhanced Optical Character Recognition (OCR) of text overlapping scenes through text graph structuring. Text graph structuring is performed to provide a graph data structure for each data character or letter of multiple letters and a library of graph templates from graph structured data of each of the multiple letters. Text graph structuring is performed to convert visual content of an identified overlapping text image region to an overlapping text topology graph. The overlapping text topology graph is split into multiple subgraphs using the graph template library to match recognizable letters in the overlapping text.

Abstract: A display panel, a display device and a method for driving a display panel are provided. The display panel includes N types of display areas which includes an i-th type display area and a j-th type display area. The display panel includes M display parts which include a first display part and a second display part. The first display part includes at least one i-th type display area, and the second display part includes at least one i-th type display area. At least one j-th type display area is arranged between the i-th type display area included in the first display part and the i-th type display area included in the second display part. Light-emitting time periods of the i-th type display area and the j-th type display area at least partially do not overlap, to reduce the number of sub-pixels driven at the same time period.

Abstract: A display panel, a display device and a method for driving a display panel are provided. The display panel includes N types of display areas which includes an i-th type display area and a j-th type display area. The display panel includes M display parts which include a first display part and a second display part. The first display part includes at least one i-th type display area, and the second display part includes at least one i-th type display area. At least one j-th type display area is arranged between the i-th type display area included in the first display part and the i-th type display area included in the second display part. Light-emitting time periods of the i-th type display area and the j-th type display area at least partially do not overlap, to reduce the number of sub-pixels driven at the same time period.

Abstract: Embodiments of the present disclosure provide enhanced systems and methods for generating enhanced dynamic video placement advertisements with scene recognition and user portrait analysis. One disclosed method comprises analyzing a video to identify a scene from video content based on a scene model pool providing scene recognition for the video. User portrait analysis for users enables generating customized advertising content for a given user based on user interests or preference. Video content can be customized for specific users with scene recognition enabling effective video advertising and improved user enjoyment.

Abstract: A display panel, a display device and a method for driving a display panel are provided. The display panel includes N types of display areas which includes an i-th type display area and a j-th type display area. The display panel includes M display parts which include a first display part and a second display part. The first display part includes at least one i-th type display area, and the second display part includes at least one i-th type display area. At least one j-th type display area is arranged between the i-th type display area included in the first display part and the i-th type display area included in the second display part. Light-emitting time periods of the i-th type display area and the j-th type display area at least partially do not overlap, to reduce the number of sub-pixels driven at the same time period.

Abstract: Prompt learning is performed, using a prompt encoder, on an input data set to generate a revised text pattern. The revised text pattern is processed, using a text generative adversarial network, based on an existing data set to generate a fused data set and a machine learning system is updated with the fused data set.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving encrypted hypertext transport protocol (HTTPS) traffic including media content; separating the HTTPS traffic into audio segments and video segments; calculating a size for each audio segment in the HTTPS traffic; maintaining a sliding window of a plurality of sizes of consecutive audio segments to form a fingerprint; and identifying the media content by matching the fingerprint with a reference in a catalog. Other embodiments are disclosed.