13 results about "Capability management" patented technology

Systems, methods, and apparatuses for implementing capability informed prefetches are described. In certain examples, a hardware processor comprises an execution circuit to execute an instruction that generates a memory access request for an element in memory via a first capability; a capability management circuit to check the first capability for the memory access request, the first capability comprising an address field of the element in the memory, a validity field, and a bounds field that is to indicate a lower bound and an upper bound of a first object to which the first capability authorizes access; a cache; and a prefetch circuit to: prefetch an additional element from the memory to the cache, determine if the additional element is a second capability comprising an address field of a second element in the memory, a validity field, and a bounds field that is to indicate a lower bound and an upper bound of a second object to which the second capability authorizes access, and prefetch the second element from the memory to the cache based on the additional element being the second capability.

Disclosed are a capability management method and apparatus (100), and a computer device, wherein same relate to permission management of a kernel object (O) in an operating system, for example, the permission management of a kernel object (O) in a micro-kernel architecture. Specifically, in the method, two types of information are stored in a capability node (CNode) of a capability owner: information (M2) for indicating the capability to perform granting and information (M1) for indicating the capability to be granted; a correlation between the capability of a grantor and the capability of a grantee is established by means of recording the two types of information; the copying of a capability is prevented during a capability granting process; and the deletion of a capability is prevented during the process of the grantor giving up the capability, thereby ensuring a deterministic latency while realizing capability recovery and granting. The method can be applied to a smart mobile phone system, an unmanned driving system, etc.

This invention relates to the fields of artificial intelligence, multi-agent collaborative scheduling, and federated security management. Specifically, it is a federated capability management and unified scheduling system for multi-agent collaboration, comprising: a central scheduler receiving collaborative task requests across multiple local agent nodes and obtaining capability declaration information containing only the capability tags of the local agent nodes; constructing prompt word templates and generating an initial fine-grained task decomposition scheme; extracting cross-domain call links, statistically analyzing the frequency of cross-domain calls and data interaction dimensions, predicting the communication interruption probability of local agent nodes and comparing it with a security risk threshold; if the probability is lower than the threshold, a fine-grained scheme is adopted; if the probability is higher than or equal to the threshold, a minimum-privilege interaction coarse-grained scheduling scheme is generated and distributed; and local agent nodes executing sub-tasks and reporting their status to maintain core business continuity without exposing underlying private data.

Methods, apparatuses, and computer program products are provided for UE capability signaling. An apparatus is provided that is caused to at least: receive, from a user equipment capability management function, a message including a first restart counter value indicating a restart of the user equipment capability management function; inhibit, in response to receiving the first restart counter value, one or more old user equipment capability identifiers associated with a second restart counter value, the second restart counter value being associated to a pre-restart state of the user equipment capability management function; and send the first restart counter value indicating the restart of the user equipment capability management function. Related systems, methods, and articles of manufacture are also described.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of functionalities associated with artificial intelligence or machine learning (AI / ML) models supported by the UE. The UE may receive one or more AI / ML models associated with the functionalities. Numerous other aspects are described.

The present application relates to the technical field of wireless communications, and provides a machine model reasoning capability management and control method and device, for use in managing and controlling the reasoning capability of machine models. In the method, a second communication device sends first information to a first communication device, the first information comprising an AI / ML capability corresponding to AI / ML reasoning; and the second communication device receives a reasoning result of the AI / ML reasoning from the first communication device. According to the solution, on the basis of the first information, the second communication device can indicate to the first communication device the AI / ML capability corresponding to the AI / ML reasoning, thereby realizing management and control of the AI / ML capability, and enabling the first communication device to execute the AI / ML reasoning of the AI / ML capability on the basis of the first information.

The invention discloses a cross-application atomic power discovery and calling system of an Android Automove system based on mvol, relates to the technical field of Internet of Vehicles, and comprises a packet management service, a power management service and a data synchronization service. The vehicle-mounted application program statically declarates atomic power data containing logical judgment conditions and execution parameters in a configuration file, and the packet management service monitors application change and triggers a discovery process; the capability management service integrates an MVEL engine, the logic judgment condition is combined with the vehicle context environment to execute dynamic Boolean operation, and whether the atomic capability takes effect or not is judged; and the data synchronization service stores the effective capability and establishes an index, and the system responds to a capability identifier instruction, retrieves an execution parameter and constructs an AndroidIntent message to trigger a corresponding function. According to the invention, real-time binding of the application capability and the vehicle state is realized through MVEL dynamic analysis, and the maintenance problem caused by hard coding is solved.

A wireless communication device is described. The wireless communication device includes a processor configured to determine a switch between an independent mode and a concurrency mode. The wireless communication device also includes a transmitter configured to send a communication capability signal to a base station in response to the switch. The communication capability signal indicates a resource communication capability adjustment for a first service.

The invention relates to the technical field of intelligent agent systems, in particular to a construction method and system of a universal intelligent agent framework, and the method comprises an agent operation engine and a meta-capability management platform. And plug and play of the capability, flexible arrangement of tasks and self-adaptive response of the environment are realized. The adaptive capacity of the intelligent agent in multi-scene migration, cross-system collaboration and dynamic environments can be remarkably improved, and the development and maintenance cost is reduced.

The invention discloses an innovation ability management method and system, and relates to the field of human capital management and application. The method comprises the following steps that S1, a CoE department obtains data and information from an intelligent or application knowledge database and pushes the data and the information to employees or prompts the employees to actively obtain the data and the information, and therefore multidisciplinary skills, knowledge and experience are established; s2, the innovation ability management system gradually converts the multidisciplinary skills, knowledge and experience into interdisciplinary skills, knowledge and experience through the CoE department, thereby establishing the innovation ability of the employees and realizing innovation results; s3, the innovation ability management system transmits the innovation result to the wisdom or application knowledge base according to the file type of the innovation result for the CoE department to use; and in cycles, spiral growth of application knowledge and continuous improvement of quality are formed. According to the technical scheme, the problems of creation and retention of knowledge and innovation ability management of employees in the prior art are solved.

The application provides a multi-agent system-oriented capability management and calling method. The method constructs a hierarchical capability ontology definition multi-dimensional attribute space, converts the agent capability declaration into a structured attribute vector, maps the attribute vector to a fixed-length fingerprint vector through grouping normalization, weighted scaling and random projection, and normalizes it to a unit hypersphere. Based on the fingerprint vector, multiple independent hash indexes are constructed. When receiving a calling request, the request is converted into a query fingerprint, and after the candidate set is obtained through the multi-group hash index coarse screening, the matching result is generated by performing fine arrangement reasoning. According to the calling feedback, the dimension weight vector is updated to realize the adaptive improvement of the matching accuracy. The method reduces the capability matching delay from linear to sub-linear, eliminates the semantic ambiguity of the text description, and supports the constant-time hot plug of the agent.

An information handling system includes a hardware processor to execute computer-readable program code instructions of an information technology decision maker (ITDM) capability management system to receive assigned artificial intelligence (AI) productivity scores correlated to how executed capability intent actions at a subset of a plurality of node information handling systems in an enterprise have improved user productivity at those plurality of node information handling systems based on detected changes resource telemetry data. The ITDM capability management system to generate a ranked listing of the plurality of responsive capability intent actions based on the assigned AI productivity scores and determine an action payload comprising one or more highest AI productivity score responsive capability intent actions and propagate that action payload to each of the plurality of node information handling systems within the enterprise for implementation.

The invention relates to an opening capability management method and device of an API management system, equipment and a storage medium. The method comprises the following steps: receiving an API service request sent by a user side, wherein the API service request comprises a performance requirement of a target service; predicting a candidate API and / or a candidate API calling combination corresponding to the target service according to the performance requirement of the target service; and receiving selection indication information sent by the user side, determining a target API from the candidate APIs, and / or determining a target API call combination from the candidate API call combinations. Receiving an authorization application request which is sent by the user side and aims at the target API and / or the target API calling combination; and auditing the authorization application request, and authorizing the target API and / or the target API call combination under the condition that the authorization application request passes. Therefore, a flexible API capability subscription and authorization mechanism can be provided for users, and individual requirements of different users are met.