Abstract: The present disclosure discloses an operation and maintenance method, apparatus, and system, a server, an electronic device, and a medium. The method includes: searching for an operation and maintenance service capability based on an operation and maintenance request to determine a service agent device and an operation and maintenance instruction corresponding to the service agent device, wherein the service agent device is provided in a container and provides an operation and maintenance service, and the operation and maintenance service capability is a service capability of the service agent device determined based on operation and maintenance data of the container; and sending the operation and maintenance instruction corresponding to the service agent device to the service agent device for the service agent device to execute the operation and maintenance instruction.

Abstract: Method for managing access to a plurality of bots, where a search interface, executed on a terminal, performs: transmitting at least one search request to at least one search server, via a search channel independent of one or more communication channels with which one or more messaging clients installed on a target mobile terminal and able to converse with the bots are compatible; receiving, via the search channel and from the at least one search server, a result comprising at least one pair comprising a bot and an associated communication channel; selecting, in the result, a pair; and initiating an opening of a conversation between the target mobile terminal and the bot of the selected pair, by using the channel of the selected pair.

Abstract: Systems, methods, and computer program products for using a generative artificial intelligence system to generate answers or summaries is provided. During the ingestion stage, the system receives documents and transcripts that include data associated with a theme. The data is converted into a common format and is divided into chunks. The chunks are associated with metadata tags that include chunk and data information. From the chunks, the system generates embedding vectors. During the inference stage, the system receives an information request. If the information request is a question, the system generates a vector from the question, and uses a similarity search to identify similar vectors. From the similar vectors, the system identifies chunks. If the information request includes a summary request, the system uses the metadata tags to identify chunks with summary information. The system generates an answer or a summary from the identified chunks.

Abstract: A data processing system implements detecting an occurrence of a trigger condition during an online meeting among a plurality of client devices associated with participants of the session, the occurrence of the trigger condition indicating that an ideation session for collecting ideas from the participants should be initiated; selecting an ideation session template based on meeting information associated with the online meeting, each ideation session template comprising a natural language prompt template that includes instructions to a language model to generate an agenda for a specific type of ideation session and to conduct the ideation session according to the agenda; constructing a prompt based on the natural language prompt template of the ideation session template; and providing the prompt as an input to the language model to cause the language model to generate the agenda for the ideation session and conduct the ideation session according to the agenda.

Abstract: Methods of providing provider information to a client device includes receiving, from a client device, a request for information for a provider within a user's provider network, generating and providing a request for location information; receiving a location response, determining whether a location identified by the location response is currently supported by the provider determination system, generating and providing a provider type request, receiving a provider type response; determining whether there are providers within the user's provider network that match both the location identified in the location response and a provider type identified in the provider type response, generating and providing a provider list, receiving a provider selection response selecting a provider from the provider list, generating and providing a provider information message including information related to the selected provider.

Abstract: One example method includes obtaining, using one or more autonomous agents, user information; generating, using the one or more autonomous agents and based on the user information, a plurality of prompts; generating, using the one or more autonomous agents, as a plurality of candidate digital components, one or more candidate digital components for each prompt of the plurality of prompts; determining, using the one or more autonomous agents, digital component scores of the plurality of candidate digital components; determining, using the one or more autonomous agents and based on the digital component scores of the plurality of candidate digital components, at least one digital component of the plurality of candidate digital components; and generating, using the one or more autonomous agents, an output digital component including the at least one digital component.

Abstract: Provided herein are systems, methods, and non-transient computer-readable storage media for providing contextualized responses using a virtual coworker within an email account. The disclosed techniques access an email thread, set a conversation context window to encompass the entire email thread, identify contextually relevant keywords within the subject line and email body, and search the email account for related email messages. A context library is created, comprising the email message and related email messages found in the email account. A response is generated based on user input derived from the context library, using a combination of prompts derived from natural language analysis and pre-programmed prompts. Additional features include analyzing the context library to define user input, engineering the initial prompt for the response, incorporating a knowledge base, reading attachments, and implementing digital security measures.

Abstract: Various example embodiments for supporting deterministic communications in communication networks may be based on use of a hybrid Programming Protocol-Independent Packet Processor (P4) deterministic switch. The hybrid P4 deterministic switch may include an electronic communication element configured to compensate for the jitter of incoming traffic to match a desired level of jitter for end-to-end deterministic communication of the incoming traffic and an optical communication element configured to support optical propagation of deterministic traffic received from the electronic communication element.

Abstract: A method and computer system for handling timeouts of client requests to a server. The method includes: accessing timeout metadata of a synchronous client request at a server queue; determining that the synchronous client request has a timeout risk; identifying a response storage location for a request processor to use to store a response to the synchronous client request when the response is provided after the timeout of the synchronous client request; responding to the synchronous client request indicating a user of a response storage location for asynchronous response retrieval; and providing the identifier of the response storage location as metadata in the synchronous client request when sending the synchronous client request to the request processor for processing.

Abstract: A method obtains at least one virtual representation representing an infrastructure in a first state and applies a first dataset to the virtual representation to artificially advance the virtual representation to represent the infrastructure in a second state. The method obtains results representing the infrastructure in the second state, wherein at least a portion of the results are indicative of a predicted condition associated with the infrastructure based on usage of the infrastructure. The method applies a second dataset to the virtual representation to artificially advance the virtual representation to represent the infrastructure in a third state and obtains results representing the infrastructure in the third state, wherein at least a portion of the results are indicative of an outcome to a solution applied via the second dataset to the predicted condition associated with the infrastructure.

Abstract: Disclosed is a method for controlling data transmission for smart gas, comprising: obtaining gas data of a gas user, and storing the gas data into a storage unit; predicting a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit; in response to the probability of full storage meeting a preset probability condition: obtaining the gas data of the gas user within the preset time period; determining the upload demand degree based on the gas data; and in response to the upload demand degree meeting a preset condition, transmitting the gas data within the preset time period to the smart gas management platform based on the smart gas object platform at a target upload time point of at least one smart gas meter of the gas user.

Abstract: A device, communication system, and method are provided. In one example, a system for switch generated explicit packet discard notifications is described that includes circuits to detect a packet is to be dropped; extract information from the packet to be dropped; and generate a notification using the extracted information from the packet to be dropped. The system also includes an interface to send the generated notification to a source associated with the packet to be dropped, wherein the notification is generated and sent from a switch.

Abstract: Systems and methods provide a flexible environment for intelligently scoring transactions from data sources. An example method includes providing a user interface configured to generate a rubric by receiving selection of one or more one or more conditions, each condition identifying a tag generated by a classifier in the library of classifiers and for each identified tag, receiving selection of a value for the tag that satisfies the condition and receiving selection of an outcome attribute for the condition. The outcome attribute may be a weight for the tag or an alert condition. The method includes storing the rubric in a data store and applying the stored rubric to scoring units of a transaction. The method also includes aggregating scores for transactions occurring during a trend period and displaying the trend score. In some implementations, at least one classifier in the library is a rule-based classifier defined by a user.

Abstract: In an approach to coordinated emotion representation and expression in multi-agent digital assistants, one or more computer processors monitor a conversation of a first user. One or more computer processors determine an intervention opportunity is present in the conversation. One or more computer processors retrieve a profile associated with the first user. One or more computer processors determine a context of the conversation. Based on the profile associated with the first user and the context of the conversation, one or more computer processors generate one or more emotion-based responses. One or more computer processors determine a most appropriate response of the one or more emotion-based responses. One or more computer processors present the most appropriate response to the first user.

Abstract: Embodiments of this application disclose a data transmission method and a communication apparatus. The method may be applied to a data transmission or data distribution scenario in a peer-to-peer P2P network. The method includes: A first end node sends delayed transmission information to a second end node, where the delayed transmission information indicates time information at which the first end node delays sending first data to the second end node. When determining that the second end node accepts the delayed transmission information, the first end node delays sending the first data to the second end node, to alleviate a load of the first end node, so that a network congestion problem caused by a large-scale concurrent data request can be resolved.

Abstract: The present disclosure provides an apparatus and method for encoding a video with ultra-low latency, the apparatus including: one or a plurality of video sources configured to provide a video signal; an encoder configured to encode the video signal provided through the video source and provided for each of the video sources; and a caster configured to transmit video data encoded by the encoder to the outside through a network communication network. Accordingly, the present disclosure can transmit a video with ultra-low latency, so a video service is possible in real time anytime anywhere as long as the internet is connected, whereby there is the advantage that the present disclosure can be applied to various fields of 4th industry such as autonomous driving, unmanned drone operation, driving of unmanned heavy equipment, robot control, a remote medical service, VR/AR, an intelligent CCTV, a smart city?factory, provision of traffic information, etc.

Abstract: In various examples, one or more network links for transmitting data in a network may be selected based at least in part on a quality associated with the one or more network links. Link quality information associated with a plurality of links may be accessed and analyzed to determine which links to use for transmitting data. Link quality may be evaluated in combination with other link attributes to proactively select network links to minimize network disruption in the event of network equipment failure.

Abstract: In one implementation, a device performs, using a using a large language model-based troubleshooting agent, troubleshooting of a plurality of issues in a network indicated by a plurality of support tickets opened by users of the network. The device aggregates, based on results of the troubleshooting, the plurality of support tickets into a master support ticket. The device obtains a resolution to the master support ticket from a support engineer. The device uses the resolution to the master support ticket in conjunction with the large language model-based troubleshooting agent to troubleshoot a new support ticket.

Abstract: A computer implemented method for generating a response to a received electronic message. A generative AI is prompted to analyse the electronic message and to generate intent data indicative of an intent associated with the electronic message and data-identifier data indicative of one or more predetermined data identifiers present in the electronic message. The electronic message is analysed to identify and retrieve client data associated with one or more parties associated with the electronic message. The method includes Verifying the retrieved client data includes data corresponding to the generated data-identifier data. If so, query an ERP system with the verified data-identifier data to extract ERP data corresponding to the predetermined data identifiers of which the data-identifier data is indicative, select a response-message template using the intent data, populate the selected response-message template with the ERP data, and present the populated response-message template to a user for approval.

Abstract: Methods and systems for performing a hardware acceleration process that includes a hardware offloading engine. The hardware offloading engine includes an interface for communicating with a host device and a hardware accelerator for performing the acceleration process. The hardware accelerator has a processor configured to: receive from the interface a hardware offloading command from the host device, the hardware offloading command including an operation code, an input pointer, a total input size, and a first input size, parse the operation code, the input pointer, the total input size, and the first input size from the hardware offloading command, retrieve input data based on the input pointer and the total input size, separate the input data into a first data stream and a second data stream based on the first input size, and execute an offloaded operation on the first data stream and the second data stream.