Abstract: Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework that provides advancements in electronic messages are presented to users, as well as how users are capable of interacting with such messages, and the content included and/or referenced therein. The disclosed framework provides novel mechanisms for modifying how an electronic message is displayed within an account inbox, whereby such modifications enable interactions with the content in the message as well as the electronic/network resources associated with such message/content without requiring the message to be opened. Thus, streamlined mechanisms are provided that enable advanced capabilities for inbox management and interactions therefrom, which can reduce resource expenditure by the device accessing the inbox and the system hosting the inbox, as well increase in user experience.

Abstract: An artificial intelligence (AI) system for processing and validating editable text, including tracked changes, comments, and version metadata. The system determines whether edits are approved, rejected, or pending and applies AI-driven text verification, fraud detection, and hallucination prevention accordingly. AI validation occurs dynamically to prevent misinterpretation of unapproved changes while ensuring text security and integrity. The invention includes automated fraud detection, cryptographic authentication, and real-time validation to enhance AI-assisted document workflows. The system may integrate with document collaboration platforms, apply blockchain-based verification, and generate validation logs tracking document modifications. AI-driven text formatting correction, security watermarking, and structured validation techniques further improve accuracy and trustworthiness.

Abstract: Methods and systems are presented for providing an artificial intelligence (AI)-based conversation system for facilitating a conversation with users and processing transactions for the users. The AI-based conversation system includes an AI model coupled with different backend modules. Based on an utterance submitted by a user during a chat session, the AI model is configured to generate instructions for a backend module to perform a transaction for the user based on a prompt template. The AI model also communicates the instructions to the backend module using a protocol specified in the prompt template. Upon receiving an output from the backend module, the AI model is configured to generate content for the chat session based on the output, and provide the content to the user.

Abstract: A method can include dividing a service area into service grid elements. A method can include determining, using a throughput model, a predicted throughput of a resource-limited service, the throughput model comprising a regression model configured to receive network data indicative of network performance and to output the predicted throughput. A method can include determining, using a churn model, a predicted churn time of a subscriber, the churn model comprising a classification model configured to receive customer data indicative of a likelihood that a customer terminates service and to output the predicted churn time. A method can include providing the predicted throughput and predicted churn time to an eligibility determination engine. A method can include determining an eligibility for the resource-limited service for each service grid element by determining that the predicted throughput is above a threshold value and the predicted churn time is above a threshold value.

Abstract: Systems, methods, and techniques described herein relate to forecasting power consumption for maintenance of data centers. In an aspect, a maintenance window request for a requested maintenance task with respect to a data center is received. A machine learning (ML) model utilized to generate a window recommendation result, the model trained to determine a period of time where the task's impact on performance of the data center satisfies an impact criterion. The window recommendation result comprising a window indicating a period of time wherein impact of the requested maintenance task satisfies the impact criterion. Performance of the maintenance task is to be performed during the window. In an alternative aspect, the ML model is trained to forecast power consumption of a data center in a period of time. In this alternative, a maintenance window determiner determines the window recommendation result based on a power consumption forecast of the ML model.

Abstract: Disclosed are an application state network card driving method and apparatus. The method comprises the steps of: initializing a system, establishing a channel communicating with a physical network card hardware device, creating a virtual network card device in the system, and opening the physical network card hardware device channel and a virtual network card device node channel; downstream transmitting data received by a system network interface through the virtual network card device, and uploading data uploaded by the physical network card hardware device to the system network interface; and stopping node communication of the virtual network card device, and deleting the virtual network card device. According to the invention, a network card driver can be installed on a host system without needing a root permission, thus having a good compatibility and a wide application range.

Abstract: According to embodiments of the disclosure, a method, an apparatus, a device, and a media for creating a digital assistant are provided. The method includes: presenting a settings region in a creation page of the digital assistant, wherein the settings region is configured to set a trigger of the digital assistant, the trigger specifying an event source for receiving a trigger event and an action corresponding to the trigger event, wherein the trigger event is an event from an application other than the digital assistant; in response to receiving a setting request for the settings region, setting the trigger based on the setting request; and creating the digital assistant based on the trigger such that the created digital assistant performs the action in response to receiving the trigger event. As a result, the applicability and flexibility of a digital assistant can be improved.

Abstract: A system and method for generating LLM-based chatbot responses are provided. The method includes generating, using a first specific-trained language model (STLM), which returns a set of filters based on an input question, wherein the input question relates to at least one sales call; filtering a call dataset based on the set of filters, wherein the set of filters is applied to metadata included in the call dataset, wherein the call dataset further includes at least transcripts; embedding the input question into a vector representation; comparing the vector representation of the input question to vector representations of textual information stored in the call dataset to retrieve a target dataset; engineering a prompt to provide a single coherent command including information in the target dataset and the input question; and feeding the engineered prompt to a second STLM to retrieve an answer to the input question.

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.