Abstract: A communication method, a communication apparatus, and a storage medium are provided. The method includes obtaining first information from a core network. The first information is configured to indicate a correspondence between a first data packet and a second data packet. Adjusting a delay budget of the second data packet based on the first information and second information. The second information is related to a transmission status of the first data packet.

Abstract: A service transmission method and apparatus. The service transmission method includes: an application function network element indicates N QoS flows or N PDU sets to an access network device. The access network device may select, from the N QoS flows or the N PDU sets based on a plurality of factors such as a current network status and a channel status, M QoS flows or M PDU sets that can ensure a current service transmission delay, and indicate the M QoS flows or the M PDU sets to the application function network element. The application function network element selects, from the M QoS flows or the M PDU sets, a QoS flow or a PDU set used for service transmission. The service transmission delay can be ensured by using the service transmission method in embodiments.

Abstract: Various techniques for LLM powered detection reasoning solutions are disclosed. In some embodiments, a system, a process, and/or a computer program product for an LLM powered detection reasoning solution includes monitoring network traffic at a security platform, wherein the security platform generates a sample based on the monitored network traffic; sending the sample to a security service to generate a Large Language Model (LLM) powered detection and reason, wherein the LLM is prompted to automatically generate a malware or benign verdict and a reason for explaining the verdict; and reporting the LLM powered detection and reason.

Abstract: A user equipment (UE) may monitor a channel for wireless communication associated with a first radio access technology (RAT) during one or more of a first active duration or a first inactive duration. The UE may operate in a first power mode during the first inactive duration. The UE may monitor the channel for wireless communication associated with a second RAT during one or more of a second active duration or a second inactive duration. The UE may operate during the second inactive duration in one or more of the first power mode or a second power. The UE may operate according to the first mode or the second mode based on the monitoring of the channel associated with the first RAT and the second RAT.

Abstract: Conflicting aliases in database queries are identified with a graph-based approach. A conflict detector builds a base graph comprising nodes representing the database's tables and fields and edges representing relationships between the tables and fields. The detector iterates over one or more database queries and augments the base graph with nodes representing aliases of tables/fields identified in each database query. The detector inserts an edge between each node corresponding to an alias and the node of the base graph corresponding to the aliased table or field. For table aliases, the detector inserts an edge between the table alias node and each node of the base graph corresponding to a field of the table that is indicated in the database query. The detector evaluates the augmented graph for the presence of cycles that indicate that the database query(ies) represented in nodes therein include conflicting aliases.

Abstract: A security feed normalizer aggregates and normalizes threat intelligence data across security feeds and extracts threat descriptors of cybersecurity threats from the aggregated/normalized data. A first large language model (LLM) determines whether each threat descriptor is informative, i.e., comprises sufficient information for reproducing/generating network traffic of the corresponding cybersecurity threat. For informative threat descriptors, a second LLM generates network traffic for the corresponding cybersecurity threats. The generated network traffic is used for subsequent remediation of corresponding threats.

Abstract: Techniques for inline exploit detection via loose condition forwarding and cloud analysis (e.g., cloud-based security analysis) are disclosed. In some embodiments, a system/process/computer program product for inline exploit detection via loose condition forwarding and cloud analysis includes monitoring network traffic of a session at a security platform; selecting a subset of the monitored network traffic associated with the session to send to a cloud-based security service for analysis based on a security policy, wherein the selected subset of the monitored network traffic is determined to be associated with suspicious session traffic that is selected using a prefilter condition (e.g., a prefilter signature, heuristics, machine learning implemented prefiltering condition, etc.) for an unknown exploit; and receiving, from the cloud-based security service, results of the analysis based on the security policy, and performing a responsive action based on the results of the analysis based on the security policy.

Abstract: A system, method, and device for detecting Command and Control (C2) traffic is disclosed. The method includes (i) converting a monitored traffic sample to an image representation, (ii) querying a classifier based at least in part on the image representation to obtain a traffic classification, (iii) automatically detecting C2 traffic based at least in part on the traffic classification, and (iv) handling the network traffic based at least in part on the traffic classification.

Abstract: A first terminal device sends a resource configuration request to an access and mobility management function network element. The access and mobility management function network element sends a response message to the first terminal device, to indicate whether a semantic library is available. When the semantic library is available, the access and mobility management function network element sends a resource configuration indication to a resource controller, to perform resource reservation and resource instantiation configuration. When the semantic library is available, the first terminal device sends first information to the access and mobility management function network element. The first information carries a key required for configuring a computing environment.

Abstract: A system stores first and second images generated by first and second cameras; applies a segmentation model to the first image to generate a first segmentation mask identifying object instances; applies the segmentation model to the second image to generate a second segmentation mask identifying the object instances; projects the first segmentation mask to a viewpoint of the second camera to generate a first projected segmentation mask; converts the first projected segmentation mask and the second segmentation mask to first and second semantic masks, respectively; and computes a first similarity value based on the first and second semantic masks. This may be repeated exchanging the first and second images to compute a second similarity value. The system determines a loss value based on the first similarity value and the second similarity value and trains the segmentation model based on the loss value.

Abstract: A computing device displays, on a user interface, a plurality of nodes, including a first visualization node and a second node. The first visualization node includes a chart. In response to receiving a user interaction with a portion of the chart, the device generates intermediate data according to the portion of the chart and displaying the intermediate data on the user interface. In response to receiving user selection of at least a subset of the intermediate data, the device transmits to a language model a request and receives, from the language model, data describing the one or more datasets according to the subset of the intermediate data selected by the user. The device renders the data describing the one or more datasets as (i) an update or modification of the first visualization node or the second node, or (ii) a third node that is distinct from the plurality of nodes.

Abstract: A computing device displays, on a user interface, a first visualization node and a text node. The first visualization node is upstream of the text node and includes a chart. In response to receiving a first user interaction with a portion of text content that is displayed in the text node, the device retrieving data of the first visualization node and transmits to a language model a first request that includes the data and the portion of text content. The device receives from the language model suggestions and data visualizations for analyzing the one or more datasets. The device displays the plurality of suggestions and their corresponding data visualizations on the user interface. The device receives user selection of a first suggestion that includes a first data visualization and renders a second visualization node on the user interface. The device displays the first data visualization in the second visualization node.

Abstract: A terminal device receives, from a network device, first configuration information, where the first configuration information is used to configure M candidate resources, and M is an integer greater than 1. The terminal device sends to the network device, indication information, where the indication information carries an index of a first resource in the M candidate resources, and the first resource is used to send uplink information. The terminal device performs uplink transmission by using the first resource in the M candidate resources, so that a transmission delay is reduced. Further, the terminal device indicates the index of the first resource to a network device by using the indication information.

Abstract: A distributed database system includes: a computing module configured to receive a transaction starting request; determine a target transaction and a target storage module corresponding to the target transaction based on the transaction starting request; send an execution instruction to a target storage module; send a commit instruction to the target storage module when the target storage module returns a message that the target transaction is executed successfully, the commit instruction including a commit timestamp of the target transaction; and the target storage module configured to receive the execution instruction, and execute the target transaction according to the execution instruction; return the message that the target transaction is successfully executed to the computing module when the target transaction is successfully executed; and receive the commit instruction, commit the target transaction according to the commit instruction, and generate a binary log according to the commit timestamp of the

Abstract: A multi-modal service data transmission method and apparatus are provided. The multi-modal service data transmission method includes: receiving first indication information; determining a first resource and a second resource based on the first indication information; receiving first data on the first resource; and receiving second data on the second resource. The first resource and the second resource are located in a same resource block (RB). The first resource includes at least two subcarriers that are spaced in frequency domain, and/or the second resource includes at least two subcarriers that are spaced in frequency domain. According to the foregoing method, data transmission reliability can be improved.

Abstract: Techniques and systems are provided for image processing. For instance, a process can include identifying a voxel of a voxel space corresponding to a pixel of a received image, wherein the voxel includes semantic labels, and wherein the semantic labels indicate an object in an environment corresponding to the voxel; receiving a first semantic label as a semantic seed for the pixel; segmenting the image based on the semantic seed to determine a second semantic label for the pixel; and integrating the segmented image into the voxel space.

Abstract: A data transmission method and apparatus are provided. The method includes: A terminal device receive N pieces of downlink control information (DCI) that include an overlapped time-frequency resource and are available for transmitting different amounts of uplink data for a uplink data transmission, where N is an integer greater than 1. The terminal device determines a first time-frequency resource from the N time-frequency resources based on an amount of to-be-sent data, and sends the to-be-sent data on the first time-frequency resource.

Abstract: Disclosed are systems and techniques for image processing. For example, a computing device can generate, using a multi-task model, a segmentation output and a normal output based on image(s) of a scene and a gravity vector for the scene. The computing device can learn semantic prediction(s) based on comparing the segmentation output to at least one ground truth semantic segmentation map. The computing device can also learn normal prediction(s) based on comparing the normal output to at least one ground truth normal map. The computing device can extract a semantics normal from the semantic prediction(s) and the normal prediction(s). The computing device can optimize a regularization loss based on the semantics normal and the gravity vector for the scene by learning gravity-normal regularization(s) for the scene. The computing device can determine final semantic labels for regions of the scene based on the gravity-normal regularization(s).

Abstract: Method, system, device, and non-transitory computer-readable medium for generating summaries. In some embodiments, the method includes: obtaining a first set of audio data associated with the meeting while the meeting occurs; transcribing the first set of audio data into a first set of text data while the meeting occurs; generating a first version of a live summary of the meeting based at least in part on the first set of text data, the live summary including one or more text items; and updating the live summary of the meeting to a second version of the live summary based at least in part on a second set of audio data, wherein the second set of audio data is subsequent to the first set of audio data.