2179 results about "Interface (computing)" patented technology

The disclosed embodiments include centralized, computer-implemented processes for feature generation and management within web-based computing environments. By way of example, an apparatus may transmit first data characterizing a plurality of features to a device, the first data causes the device to present interface elements associated with the features within a digital interface. The apparatus may receive second data that identifies at least a subset of the features from the device, and based on the second data, the apparatus may generate, for each of the subset of the features, elements of executable code associated with a calculation of a corresponding feature value. The apparatus may transmit third data that includes the elements of executable code to the device, which may present the elements of executable code within one or more additional portions of the digital interface.

A server computer system comprises a communications module; at least one processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to provide a plug-in to an interface design software application executing on a computing device, the plug-in allowing the server computer system to communicate with the computing device to monitor design of an interface within the interface design software application; generate at least one recommendation for tagging at least one element of the interface; and send, for display on a display screen of the computing device within the interface design software application, the at least one recommendation for tagging the at least one element.

The invention discloses a cross-domain computing task processing method, a program product, equipment and a medium, and relates to the technical field of cloud computing. The method comprises the following steps: determining a computing node for executing a cross-domain computing task in a cross-domain collaborative scene, and generating an identity certificate bound with the computing node based on a hardware credible state of the node; collecting security policies of a plurality of management domains for conflict detection and decision, and generating a conflict-free session policy; scheduling the cross-domain computing task to a target computing node meeting a preset credible requirement, and issuing a revocable dynamic session token; and recording the operation information of the cross-domain calculation task in the whole life cycle as an audit event, and generating a chained audit log which is linked by the hash value and is digitally signed through a preset verifiable audit interface. By means of the technical scheme, it can be ensured that the whole life cycle of any computing task meets the closed-loop safety requirements of identity credibility, permission controllability, execution propriability and behavior traceability in the complex distributed computing environment.

Disclosed are systems and methods that ingest substantial volumes of data from a variety of sources associated with a computing system network to create integrated, intuitive, efficient, and coherent adaptive workspace display interfaces. The ingestion includes event data generated by event source software applications running on end user computing devices as well as call and end user attribute data that is used to determine state, presence, and performance data for the end user computing devices that is formatted for display on the adaptive workspace interfaces and used during performance monitoring and collaboration between system end users. The adaptive workspace interfaces provide functions that facilitate real time collaboration between end users that enhances shared experiences between system end users and customers.

Systems and methods for providing access rights may include a first computing system that receives a request to link an enterprise account of the first computing system to a second computing system. The first computing system may authenticate a user, receive a selection of one or more access rights, and one or more accounts of the enterprise account, via an application interface of the second computing system, and generate an access token for transmission to a computing device of the user, where the access token identifies the one or more access rights and the one or more accounts. The first computing system may transmit the access token to the computing device, to provide the computing device access to the one or more accounts according to the one or more access rights, of the first computing system, via the second computing system.

The invention discloses a method and a device for realizing task splitting based on a multi-core processor and a related product. A device may be included as a processing device in a combined processing device, which may further include an interface device and a computing device. The computing device interacts with the processing device to jointly complete computing operation specified by a user. The combined processing device can further comprise a storage device, and the storage device is connected with the computing device and the processing device and used for storing data of the computing device and the processing device. The scheme disclosed by the invention provides a method for scheduling group matrix multiplication class operation task splitting on the multi-core processor, which can effectively reduce data memory access and improve processing efficiency.

A computing services environment may include a database system storing a plurality of database records for a plurality of client organizations accessing computing services including a conversational chat assistant. The computing services environment may also include an application server may receive user input for the conversational chat assistant, a generative language model interface, an orchestration and planning service configured to identify one or more actions based on the user input, to execute the one or more actions to determine a natural language response message, and to determine a recommended action for selection via a conversational chat interface. The computing services environment may also include a communication interface configured to transmit the natural language response message and a user interface generation instruction executable by the client machine to provide a selection affordance for selecting the recommended action.

The invention provides a modular construction method of a low-code visual interaction system, and relates to the technical field of low-code development. The method comprises the following steps: constructing an edge cognitive topology network, packaging each node into a reconfigurable meta-module, analyzing a user operation track by using an intention perception interface to generate a meta-intention vector, and carrying out context correlation analysis through a semantic behavior chain to generate a potential behavior sequence. And establishing an asymmetric coupling relationship based on an implicit context mapper, forming a dynamic semantic resonance field, triggering distributed intention resonance and activating a matching element module, and generating a collaborative logic cluster under the constraint of edge computing node resources. And dynamically adjusting an interaction rule and a resource allocation strategy of the logic unit. According to the method, automatic construction and high-precision intention adaptation of complex business logic are realized, the elastic expansion capability and the real-time response efficiency of the system in an edge computing scene are improved, and the risk of logic fault and resource scrambling caused by node isomerism is reduced.

Methods and apparatus to determine machine learning (ML) configurations for classifying malware are disclosed. An example server comprises interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to determine a computing parameter associated with a computing device, the computing device communicatively coupled to the server, select a ML model to deploy on the computing device based on the computing parameter, determine a configuration of the ML model based on the computing parameter, deploy the ML model to the computing device, and cause the deployed ML model to classify a sample as clean or malicious, the sample received at the computing device.

The invention provides a method for realizing agent development MCP service through computing power of an intelligent computing center, and relates to the technical field of intelligent computing centers, intelligent computing centers and computing power infrastructure, the method comprises the following steps: S1, determining interface information of a target application programming interface API, the target API being an interface of a target platform; s2, generating a first coding task based on the interface information through an intelligent agent of the intelligent computing center; s3, generating a first MCP service component corresponding to the first coding task through the intelligent agent; and S4, registering the first MCP service component to the intelligent computing center. According to the invention, the development efficiency of the MCP service of the intelligent computing center can be greatly improved.

The invention discloses a control method for a cooling circulation system of a multi-core processor, and relates to the technical field of computer hardware heat dissipation, and the control method comprises the following steps: the multi-core processor is responsible for executing a calculation task; the sensor module monitors the temperature of each core; the cooling system control module is used for receiving data from the temperature sensor and the load monitoring module, calculating the cooling requirement of each core according to the data and commanding a cooling unit to adjust; the cooling unit is used for adjusting cooling equipment to reduce the temperature of the processor according to an instruction of the control unit; and the debugging interface is used for monitoring the state of the system and displaying the temperature, the load and the cooling resource distribution condition of each core. The method has the beneficial effects that the rotating speed of the fan, the liquid cooling flow and the working state of the heat pipe system can be accurately controlled by combining the accurate analysis of the load change and the temperature data, the heat dissipation efficiency of the processor is improved, and the energy waste is reduced.

In accordance with an embodiment, described herein are systems and methods for use with a microservices or other computing environment, including a web server together with related libraries and features usable to build cloud-native applications or services. The system provides, by means of a header enumeration, an abstraction that allows message headers to be treated as objects, accessible via an application program interface that supports multiple communication protocols and allows clients and servers to communicate request / response messages using any of the supported protocols. When a request message with a known header type is encountered, the system can obtain an indexed value from the enumeration, if available, and provide the associated data directly to the process to which the request is directed, and / or cache the header value for later use.

Systems and methods for distributed order fulfillment are disclosed. Real-time fulfillment data indicating unavailability of a first item identified in an order is received from a first computing device. The real-time fulfillment data is generated in response to an input received by the first computing device. Order update data indicating unavailability of the first item and one or more substitute items is transmitted to a second computing device. The order update data causes the second computing device to generate an interface including the substitute items and a portion of the order update data. A substitute response from the second computing device. In response to receiving the substitute response, The selected substitute item is substituted in place of the first item during fulfillment when the substitute response indicates acceptance the substitute item and the first item is removed from the order when the substitute response indicates rejection of the substitute items.

The invention provides a computing power unified access management method based on an API technology, and the method comprises the steps: monitoring the request amount and response time of each interface in real time in a current-limiting fusing assembly of an AP I gateway, carrying out the current-limiting and fusing operation when the request amount exceeds a current-limiting threshold value, and queuing requests exceeding the threshold value again; a token generation rate and a leakage rate of a leaky bucket are dynamically adjusted according to real-time flow change of an interface by applying a self-adaptive flow limiting method, fine control and smooth processing are performed on flow, and impact of burst flow on a system is avoided; the flow, response time and error rate of each interface are monitored in real time, different AP I gateway interfaces are integrated, a flow-limiting fusing model is established, a random forest method is applied, historical data are trained and learned by the model, and a flow-limiting threshold value and a fusing rule are autonomously optimized.

The invention provides a method and device for an intelligent computing center to provide computing power resources through computing power packages, and relates to the technical field of intelligent computing centers, intelligent computing centers and computing power infrastructure, and the method comprises the steps: S1, determining a computing power package corresponding to a to-be-processed computing power task under the condition that the computing power resources need to be called, the computing power task is a task needing to call computing power resource processing, and the computing power package is used for metering the computing power of the intelligent computing center according to the calculated amount; s2, computing power resources are called based on an application program interface corresponding to the computing power package, the application program interface comprises a code program corresponding to operation for executing the computing power task, and the computing power resources called by the application program interface are matched with the operation environment of the computing power task. According to the method, the scheduling efficiency of the computing power resources can be improved, the computing power is metered according to the calculated amount through the computing power package, and wide application of the general computing power is achieved.

The invention discloses a solid state disk management system and a data processing method, and relates to the technical field of solid state disk management. Flexible task scheduling and resource management are provided through a lightweight operating system module, and a computing task program defined by a user is supported to be dynamically loaded; edge computing or machine learning operators are efficiently executed in combination with a programmable hardware processing unit and a DMA channel of the computing acceleration engine module, the data preloading module is utilized to predict and preload data to DDR based on LBA access history, access delay is reduced, an NVMe protocol is expanded by means of the task unloading interface module, host task issuing and result returning are achieved, and the data processing efficiency is improved. And hardware-level memory protection is ensured through the security isolation module, so that the data calculation processing capacity of the solid state disk is remarkably improved, localized calculation tasks such as edge calculation and machine learning are supported, mass data transmission is effectively reduced, and bus and network loads are relieved.

The invention discloses a computing node, a computing system, a control method, a control device, equipment and a medium, and relates to the technical field of computers, a plurality of acceleration cards are interconnected through an Ethernet switching module, and low-order channels of serializer / deserializer interfaces of the acceleration cards are connected with the Ethernet switching module through retimers. A high-order channel of at least one serializer / deserializer interface of each accelerator card is connected with the Ethernet switching module through a retimer, and the working mode of the retimer is configured through a first controller on a computing node according to the signal rate of the accelerator cards, so that a framework that communication interfaces between the accelerator cards are fully interconnected is realized. Any two acceleration cards can be directly connected, the communication bandwidth between the acceleration cards is improved, meanwhile, the number of the acceleration cards can be flexibly expanded, longitudinal expansion and transverse expansion of a computing system can be conveniently achieved, the problem that a traditional acceleration card interconnection scheme is not easy to expand is solved, and the method can adapt to service requirements and flexibly adjust working loads.

A computing system may include a communication interface configured to receive from a first client machine a natural language description of a three-dimensional environment. A path embedding generator may determine a path language representation of a three-dimensional virtual environment based on the natural language description and via a large language model interface. The path language representation may be generated in accordance with a path language definition and may include one or more entities to include within the three-dimensional virtual environment. An entity of the entities may include a three-dimensional model of the entity and an entity animation rig for animating the entity. The path language representation may include a script governing behavior of the one or more entities and including one or more events. The three-dimensional virtual environment may be presented at a second client machine upon request.

A system configured to extract, classify, and order entity insights may include a computing system, a computer readable memory, at least one processor having instruction configured for ingesting data into the system from at least one external application programming interface configured to retrieve data over a network, integrating the data to form a cohesive data set using the at least one processor, storing the cohesive data set into the computer readable memory, processing the cohesive data set by the at least one processor using at least one machine learning model to generate a plurality of entity insights, each of the insights having at least one classification associated therewith, ordering the plurality of the entity insights based on a machine generated prioritization, and generating a presentation comprising the plurality of entity insights in human-readable form.

Methods and apparatus for application aware memory patrol scrubbing techniques. The method may be performed on a computing system including one or more memory devices and running multiple applications with associated processes. The computer system may be implemented in a multi-tenant environment, where virtual instances of physical resources provided by the system are allocated to separate tenants, such as through virtualization schemes employing virtual machines or containers. Quality of Service (QoS) scrubbing logic and novel interfaces are provided to enable memory scrubbing QoS policies to be applied at the tenant, application, and / or process level. This QoS policies may include memory ranges for which specific policies are applied, as well as bandwidth allocations for performing scrubbing operations. A pattern generator is also provided for generating scrubbing patterns based on observed or predicted memory access patterns and / or predefined patterns.

The invention provides a semantic fusion graphical software development management method and system. The method comprises the following steps: acquiring a multi-user interaction behavior data flow containing an operation track sequence and an interface control triggering time sequence; according to operation track sequences of different users and a time-space association mode of an interface control triggering time sequence, constructing a dynamic semantic map; inputting a hierarchical mapping relationship in the dynamic semantic map into a preset edge computing node, and generating a real-time computing power distribution scheme matched with a logic dependency chain in the dynamic semantic map; analyzing a mapping relationship between a control triggering timestamp and a control type in the space-time association mode, and generating an interface control rendering priority queue; the synchronous regulation and control interface control renders the priority queue and an operation instruction response sequence corresponding to the logic dependency chain, and generates a graphical software development process synchronous instruction set; according to the method, the hierarchy and the dependency chain are fused to form the dynamic semantic graph, the hierarchical operation structure and the logic dependency relationship are constructed, and the high efficiency and the consistency of the graphical development process are ensured.

This specification is generally directed to techniques for generating interfacing source code between computing components based on natural language input. In various implementations, a natural language input that requests generation of interfacing source code to logically couple a first computing component with a second computing component may be processed to generate an interface request semantic embedding. The interface request semantic embedding may be processed based on one or more domain models associated with the first and second computing components to generate a pool(s) of candidate code snippets for logically coupling with first and second computing components. A plurality of candidate instances of interfacing source code may be generated between the first and second computing components. Each candidate software interface may include a different permutation of candidate code snippets from the pool(s) of candidate code snippets.

The invention discloses a method and device for executing an operation task on a multi-core system and a related product. The device may be included as a processing device in a combined processing device, which may further include an interface device and a computing device. The computing device interacts with the processing device to jointly complete computing operation specified by a user. The combined processing device can further comprise a storage device, and the storage device is connected with the computing device and the processing device and used for storing data of the computing device and the processing device. According to the scheme, the method for executing the operation task on the multi-core system is provided, data memory access can be effectively reduced, and the processing efficiency is improved.

The invention discloses a self-adaptive dynamic interface generation method and system based on a computing power host operation and maintenance platform, and relates to the technical field of operation and maintenance interface dynamic optimization. Aiming at the problem of static stiffness of an operation and maintenance interface in a complex scene, the scheme is adopted as follows: collecting user behaviors, a context environment and equipment data, and fusing into a multi-dimensional state vector; inputting the multi-dimensional state vector into a deep reinforcement learning model, and generating a dynamic interface strategy including layout component dynamic arrangement and function button priority ranking; designing a hierarchical multi-target reward function fusing operation efficiency reward, accuracy reward and cognitive load penalty, and performing strategy optimization; analyzing the optimized dynamic interface strategy through the cross-terminal rendering capability of the WebXR engine, and generating a front-end page adaptive to the current terminal; and continuously feeding back the collected data to the deep reinforcement learning model, and updating the network weight through a strategy gradient algorithm to realize user preference migration. According to the method and the device, cross-terminal self-adaptive dynamic interface generation can be realized.

A computing services environment may include a database system may store database records for client organizations accessing computing services including a conversational chat assistant. The computing services environment may also include an application server receiving natural language user input for the conversational chat assistant and a generative language model interface providing access to one or more generative language models. The computing services environment may also include an orchestration and planning service configured to analyze the natural language user input via a generative language model of the one or more generative language models to identify a plurality of actions to execute via the computing services environment to fulfill an intent expressed in the natural language user input. The computing services environment may be configured to execute the plurality of actions to determine a natural language response message.

The invention discloses a low-code platform and Wasm high-performance computing integration system and method, and relates to the technical field of front-end development. In order to solve the problems that an existing low-code platform is limited in calculation performance and poor in security isolation performance, the scheme adopted by the invention comprises five modules: a description and registration module establishes a metadata structure for a Wasm module; the dynamic loading and asynchronous compiling module realizes loading as required and compiling during operation, and supports caching, version verification and hot replacement; the authority sandbox and resource isolation module constructs a security environment based on authority configuration to prevent illegal operation; the parameter binding and safety bridging module encapsulates a uniform interface to realize standardized interaction; the packaging and life cycle management module packages the module into a visual component, and supports full life cycle management. According to the method, high-performance, high-safety and visual integration of the Wasm module in a low-code platform is realized.

The invention provides a universal control system for a body-equipped robot and the body-equipped robot. The system comprises an elastic microkernel, a time-sensitive bus network and hardware components which are deployed in the body-equipped robot, the elastic microkernel is in communication connection with each hardware component through a time-sensitive bus network; the elastic microkernel deploys a basic industrial operating system, virtualizes a plurality of virtual domains in the industrial operating system according to an application scene of the robot with the body, and constructs a real-time communication framework based on deterministic communication middleware in the industrial operating system; the elastic microkernel is further provided with a hardware abstraction layer, a mainstream hardware instruction set is integrated in the hardware abstraction layer, and cross-platform support is provided for functional software in the virtual domain through a standardized interface. According to the method, the problems of scattered computing resources, complex communication and the like in the prior art are solved, and a highly-integrated, flexible, extensible and cross-platform compatible control scheme is provided for the robot with the body.

A computing system is provided, comprising at least one processor configured to receive a user interaction history of a user, extract memories from the user interaction history, consolidate the memories into memory clusters, cause a prompt interface for a trained model to be presented, receive, via the prompt interface, an instruction from the user for the trained model to generate an output, generate a prompt based on the memory clusters and the instruction from the user, provide the prompt to the trained model, generate, in response to the prompt, a response via the trained model, and output the response to the user.

A firmware upgrading method, a firmware upgrading system and related equipment.The method is executed by a computing device comprising an upgrading device and a BMC, an upgrading interface of the upgrading device is connected with an upgrading interface of the BMC, and the upgrading device further comprises a plurality of output interfaces. One output interface in the plurality of output interfaces is used for being connected with one to-be-upgraded component to form a transmission channel, so that when the plurality of firmware are upgraded, the upgrading device can obtain upgrading packages of the plurality of firmware, and then the matched upgrading packages are sent to the plurality of to-be-upgraded components through the plurality of transmission channels; in this way, parallel upgrading of the multiple pieces of firmware is achieved through the multiple transmission channels of the upgrading device, parallel upgrading of firmware upgrading of the server can be achieved, and the firmware upgrading efficiency is improved.

The invention provides an allocation method and system for improving the GPU resource utilization rate, a medium and a program product, and relates to the technical field of data processing. The method comprises the following steps of: constructing a hybrid resource pool which comprises a divided resource pool divided according to set computing power and video memory granularity and a whole spare resource pool retaining a complete GPU resource unit; then, a to-be-processed task is obtained from an interface end, and the computing power scale and continuity demand data of the to-be-processed task are determined through a task analysis model obtained based on multi-factor machine learning training; finally, according to the data, computing power resources are distributed from the hybrid resource pool according to a preset method, so that diversified task requirements are met, efficient and flexible distribution and utilization of GPU resources are achieved, and the overall efficiency is improved.