4579 results about "Network interface" patented technology

A coherent, intelligent, packet-switched memory fabric enables predictive, cache-coherent access across distributed compute, accelerator, and memory resources using a Memory-Fabric Transaction Layer Protocol (MF-TLP). MF-TLP defines routable packet formats for read, write, vectorized, atomic, reduction, collective, and predictive-prefetch transactions executed by memory-centric network interface controllers (MC-NICs). Each MC-NIC performs packet parsing, address translation, coherence management, and near-memory arithmetic or tensor operations while coordinating with MF-TLP-aware switches providing hierarchical directory control, multi-path routing, and in-network aggregation. Vectorized and multimodal packets encode multiple addresses or tensor offsets to reduce scatter / gather overhead, and programmable caching and quality-of-service modules manage tiered memory and tenant fairness. MF-TLP supports extension headers for predictive prefetch, collective coordination, and tenant governance, operating across hierarchical leaf-spine topologies using Ultra-Ethernet Transport, InfiniBand, or CXL fabrics. The system delivers scalable, low-latency, memory-centric orchestration for large-language-model training, multimodal AI, and data-intensive analytics.

A digital product network system includes a set of digital products each having a product processor, a product memory, and a product network interface. The digital product network system includes a product network control tower having a control tower processor, a control tower memory, and a control tower network interface. The product processor and the control tower processor collectively include non-transitory instructions that program the digital product network system to generate product level data at the product processor, transmit the product level data from the product network interface, receive the product level data at the control tower network interface, encode the product level data as a product level data structure configured to convey parameters indicated by the product level data across the set of digital products, and write the product level data structure to at least one of the product memory and the control tower memory.

The present invention discloses a blockchain-based Industrial Internet of Things (IIoT) data management system and method, where the system includes a physical layer, an edge layer, a network interface layer and a cloud layer; the physical layer includes a plurality of different IIoT device monitoring systems; the edge layer is configured to build an IIoT blockchain network; the cloud layer includes cloud servers which are configured to be deployed in a real blockchain network environment to improve performance and effectiveness of the blockchain network. The present invention can effectively solve the problem of parameter optimization lag in industrial production applications.

The invention provides an industrial control network security service security guarantee system based on behavior analysis, which belongs to the technical field of industrial control network security, and comprises a multi-source data fusion acquisition module, a dynamic behavior modeling engine, a federal learning analysis cluster, an attack chain prediction module, a self-adaptive protection strategy executor and a model evolution feedback ring, wherein the multi-source data fusion acquisition module synchronously acquires industrial control network flow (including OPC UA / Modbus / DNP3 protocol analysis), equipment operation logs, user operation behavior fingerprints and physical interface state data, and the physical interface state data comprises electrical characteristic fluctuation monitoring of USB / network interfaces. According to the scheme, through multi-technology fusion and closed-loop design, the problems of static performance, single-dimension analysis defects and response lag of a traditional industrial control security scheme are effectively solved, a comprehensive protection system with dynamic modeling, intelligent decision making, privacy protection and continuous optimization is constructed, and the security and service reliability of an industrial control network are remarkably improved.

This disclosure relates to a lending system comprising a processor, a memory, and at least one network interface controller configured to enable data exchange with external systems. The memory includes lending management logic configured to execute a personal loan-lending system wherein one or more loans are generated by collecting and preprocessing borrower data from multiple sources, conducting risk assessment and scoring, generating one or more scores based on the conducted risk assessment, and approving loans based on the generated scores. The system leverages machine learning processes to refine scoring accuracy and dynamically adapt to borrower profiles and external conditions. The system may integrate with third-party data sources for enhanced verification and incorporate compliance logic to ensure adherence to regulatory standards. By employing automated, data-driven processes, the system improves efficiency, accuracy, and security in loan origination, servicing, and compliance while enabling dynamic risk management and tailored loan product offerings.

A mobile electronic device includes a network interface and one or more processors coupled to memory. The one or more processors can be configured to receive a message comprising transaction data regarding a transaction and a request regarding activating a chat application stored in the memory; the chat application, wherein the chat application is configured to execute a large language model using the transaction data and account data as input to generate a first string of text requesting further data regarding the transaction; present the first string of text at a chat interface of the chat application; receive additional transaction data; execute the large language model using the additional transaction data as input to generate a second string of text indicating storage of the additional data in a record; and present the second string of text at the chat interface.

A data processing system for providing a service to extract information from a resource includes: a network interface for communicating over a computer network; a scraper tool to receive user instruction specifying a target resource and to extract content from the specified resource, wherein the user instruction further specifies a desired restructuring of the extracted content; and a prompt generator to structure the extracted content into a prompt for an Artificial Intelligence (AI) model, the prompt further directing the AI model to restructure the extracted content based on the user instruction. The prompt generator is to call the AI model with the generated prompt. The service is to receive restructured content from the AI model and provide the restructured content to a workstation submitting the user instruction, the restructured content presenting the content of the target resource in a form according to the user instruction.

The invention provides an active control method and device for a pantograph, and relates to the technical field of locomotive pantographs, and the method comprises the steps: obtaining the real-time operation parameters of a train through a train network interface; matching a corresponding pantograph control curve based on the real-time operation parameters and the configuration information; according to the current speed of the train and the matched pantograph control curve, the target pressure of an air bag is determined; receiving the actual pressure in the air bag continuously monitored by the air pressure sensor; and comparing the actual pressure with the target pressure to control the airbag pressure. According to the pantograph active control method and device provided by the invention, the pantograph net contact force detection and the pantograph controller are fused to realize the closed-loop active control function of the high-speed pantograph, the pantograph net active controller is optimized, the pantograph net current collection performance of the high-speed motor train unit is improved, and the pantograph net contact force detection and the pantograph controller are integrated to realize the closed-loop active control function of the high-speed pantograph. And a good effect is achieved through experimental research on an actual line, and related design and performance requirements can be met.

Apparatus for data communication includes a network interface for connection to a packet data network and a host interface for connection to a host computer, which includes a central processing unit (CPU) and a host memory. Packet processing circuitry receives, via the host interface, from a kernel running on the CPU, associations between multiple remote direct memory access (RDMA) sessions and multiple different User Datagram Protocol (UDP) 5-tuple, which are assigned respectively to the RDMA sessions, and receives from an application running on the CPU a request to send an RDMA message, using a selected group of one or more of the RDMA sessions, to a peer application over the packet data network, and in response to the request, transmits, via the network interface, one or more data packets using a UDP 5-tuple that is assigned to one of the RDMA sessions in the selected group.

The invention discloses an industrial firewall isolation method of a DCS (Distributed Control System). The objective of the invention is to solve the problem that existing industrial network security protection has defects for a DCS system. According to the method, firstly, DCS architecture analysis and risk assessment are carried out, and protection key points and data flow directions are accurately determined; then, a firewall strategy fitting the characteristics of each area (such as a core control unit, an operation station and an external network interface) is customized, and mechanisms such as multiple data encryption are covered; and then firewall deployment and configuration optimization are carried out to ensure protection continuity and rule timeliness. And abnormal conditions are timely handled through a real-time monitoring and dynamic adjustment mechanism, and system recovery under a security event is guaranteed through an emergency response and backup recovery mechanism. And a regular safety drill and evaluation mechanism is arranged to continuously strengthen the protection capability. According to the method, the network security level of the DCS is comprehensively improved, stable and safe operation of industrial production is guaranteed, and the method has remarkable practical value.

A system includes a plurality of nodes. Each of the plurality of nodes includes memory; a network interface; and a hardware processor coupled with the memory and the network interface. The system further includes a computing device. The computing device includes memory storing a master key, security keys encrypted using the master key, and associations between the security keys and the nodes. The computing device further includes a network interface and a hardware processor coupled with the memory and the network interface. The processor is configured to receive, from a node of the one or more nodes, a request for a security key of the one or more security keys, identify an association between the node and the security key within the associations, decrypt the security key using the master key to generate a decrypted security key, and communicate the decrypted security key to the node.

A system and method including a vehicle having a first network zone and a second network zone of a different type than the first network zone; a converged network device (CND) interposed between the first network zone and the second network zone, the CND including a policy manager circuit structured to interpret a policy comprising a network regulation description; a configuration circuit structured to configure a first network interface circuit in response to the network regulation description; and where the first network interface circuit is structured to regulate communications between end points of the first network zone and end points of the second network zone.

A data processing system includes: a processor; a memory containing programming instructions for execution by the processor; and a network interface for communicating with an Artificial Intelligence (AI) engine. The programming instructions include an application for generating written content, the application having a function to generate and submit a structured query regarding the written content to the AI engine to generate feedback on an assessed quality of the written content, the structured query structured to prompt for feedback in a variety of specified categories for the written content. The application further includes a user interface to display the feedback on the written content and provide an option to a user to implement the feedback to revise the written content.

A system and method for optimizing automated textual prompts in artificial intelligence (AI) conversational systems is disclosed. The system comprises a network interface, processors, and memory-storing instructions for performing operations to optimize prompts. These operations include receiving and preprocessing input data, tokenizing the data, verifying data authenticity, performing temporal analysis, calculating prompt complexity scores, and selectively expanding or refining prompts based on complexity thresholds. The system further incorporates context-aware optimization, multi-faceted prompt refinement, variation generation, and evaluation using machine learning models. Additional features include a technological hub with advanced processing capabilities, sensor-augmented input apparatus, device-specific prompt optimization, AI model selection, multimodal context integration, and an AI-driven creativity booster. The system provides interactive prompt visualization, certification, and uniqueness verification modules. This comprehensive approach ensures the generation of optimized, contextually relevant, and creative prompts for various AI applications while maintaining data integrity and user engagement.

Techniques for provisioning a cloud resource instance associated with a virtual cloud network may include detecting a certificate bundle-retrieval trigger during a provisioning process for the cloud resource instance, and responsive to detecting the certificate bundle-retrieval trigger, sending, to an agent executing on a network interface linked to the cloud resource instance, a request for a certificate bundle for the cloud resource instance. Techniques may further include receiving the certificate bundle from the network interface. The certificate bundle may include a set of certificate authority (CA) certificates. Techniques may further include installing the certificate bundle in a storage medium associated with the cloud resource instance. Installing the certificate bundle may represent an operation of the provisioning process.

Disclosed embodiments provide techniques for a networking with a network-on-chip (NoC) interface with subtopologies. A system-on-chip (SoC) is accessed. The SoC includes a plurality of logic blocks. A NoC topology is created. The NoC topology includes one or more subtopologies. The one or more subtopologies are based on a physical location of the plurality of logic blocks. Each subtopology includes at least one router. A location of the one or more subtopologies is optimized. The one or more subtopologies are coupled based on one or more communications protocols. A protocol running on the plurality of logic blocks is translated to the one or more communications protocols. Data is sent from a sending subtopology within the one or more subtopologies to a receiving subtopology within the one or more subtopologies.

An apparatus is provided that includes a network interface to transmit and receive data packets over a network; a memory including one or more buffers; an arithmetic logic unit to perform arithmetic operations for organizing and combining the data packets; and a circuitry to receive, via the network interface, data packets from the network; aggregate, via the arithmetic logic unit, the received data packets in the one or more buffers at a network rate; and transmit, via the network interface, the aggregated data packets to one or more compute nodes in the network, thereby optimizing latency incurred in combining the received data packets and transmitting the aggregated data packets, and hence accelerating a bulk data allreduce operation. One embodiment provides a system and method for performing the allreduce operation. During operation, the system performs the allreduce operation by pacing network operations for enhancing performance of the allreduce operation.

Systems and methods for playback of generative media content via wearable audio playback devices such as headphones are disclosed. In one method, the wearable device detects that it is being worn by a user, and obtains one or more input parameters via a network interface. Next, generative media content is generated based on the one or more input parameters and played back via the wearable playback device. In some examples, after detecting that the wearable playback device is no longer being worn by the user, playback ceases.

The invention provides a production operation dynamic supervision method, which comprises the following key steps: S1, data integration: widely collecting data of different production links, transmitting the data to a database through a network interface, and constructing a comprehensive data basis; s2, establishing a visual monitoring platform to integrate data to drive development, vividly displaying a production state by means of a three-dimensional model, a chart and a report, and helping a manager to intuitively insight; s3, intelligent analysis and early warning: deeply mining a data rule trend by using big data and an artificial intelligence algorithm, accurately setting an early warning threshold value, and giving an alarm in time when the threshold value is exceeded, so as to effectively prevent risks; and S4, collaborative management and decision support are carried out, department information barriers are broken, efficient sharing and collaboration are realized, scientific decision support is provided for managers, and production plans, maintenance strategies and emergency plans are optimized. According to the method, through multi-link collaborative operation, the production operation dynamic management and control capability is comprehensively enhanced, and efficient, safe and robust development of enterprises is powerfully promoted.

A system for predicting system component failures within a computer system that comprises a plurality of hardware components and a plurality of software components. The system may comprise memory storing instructions that, when executed, cause a processor to: obtain performance metrics by monitoring a network interface of the computer system; generate component failure probabilities by processing the performance metrics; determine that a first component failure probability among the component failure probabilities exceeds a risk threshold; determine remedial actions that mitigate a first component failure probability; and mitigate the first component failure probability by initiating an execution of the remedial actions.

A system and method, including a vehicle having a first network zone and a second network zone; a converged network device (CND) interposed between the first network zone and the second network zone, the CND comprising: a policy manager circuit structured to interpret a policy comprising a network regulation description, wherein the policy comprises a default policy value; a configuration circuit structured to configure at least one network interface circuit in response to the external data routing description and the external data service description; the at least one network interface circuit, wherein the at least one network interface circuit is structured to regulate communications between end points of the first network zone and end points of the second network zone.

The invention relates to the technical field of mobile communication transmission, and discloses a heterogeneous network multilink parallel mobile communication transmission method and system. A dynamic link aggregation module of the system collects link state parameters including signal strength, delay jitter and packet loss rate from a plurality of heterogeneous network interfaces in real time; a flow distribution decision module calculates available bandwidth weight of each link according to the data and generates a dynamic flow distribution strategy; the data fragment packaging module splits to-be-transmitted data into a plurality of data fragments according to the strategy, and adds a sequence identifier and a link identifier to each fragment; the multi-channel concurrent transmission module sends corresponding data fragments in parallel through a specified heterogeneous network link; and the receiving recombination verification module sorts the recombination data fragments according to the sequence identifiers, and detects the data integrity through a verification mechanism. According to the system, a set of complete multi-link parallel transmission solution is formed, and the problems existing in a traditional single link and an existing multi-link transmission technology can be effectively solved.

The invention relates to the technical field of satellite telemetering and remote control, and discloses a port task processing method for a satellite measurement, operation and control system, which comprises the following steps of: 1, detecting all available network interfaces through a port scanner, and establishing a multi-path communication channel comprising a public network, a private network and a satellite link; step 2, acquiring packet loss rate, delay, bandwidth and jitter parameters of each path in the multi-path communication channel in real time, and updating the parameters based on a preset period; and step 3, generating a comprehensive score of each path according to the packet loss rate, the delay, the bandwidth and the jitter parameters. According to the method and the device, the technical scheme of dynamic scoring and switching of the multi-path communication channel is adopted, and the technical effect of automatically selecting the optimal path according to the real-time network performance is achieved; the problems of high transmission delay, large packet loss rate and incapability of adaptive adjustment caused by network fluctuation are solved.

A system and method for interpreting a policy comprising a network usage permission description; configuring a first network interface circuit in response to the network usage permission description; and regulating communications, using the first network interface circuit, between end points of a first network zone of a vehicle and end points of a second network zone of the vehicle.

Examples described herein include one or more processors; a network interface; and a direct memory access (DMA) engine communicatively coupled to the one or more processors. In some examples, the DMA engine is to receive a DMA data access request and based on an address in the DMA data access request corresponding to a remote memory device, the DMA engine is to cause the network interface to generate at least one packet for transmission to the remote memory device. In some examples, if the source address corresponds to a local memory device and the destination address corresponds to a remote memory device, the DMA engine is to cause the network interface to generate at least one packet for transmission to the remote memory device.

The invention relates to the technical field of data transmission, and discloses an OpenHarmony-based data transmission method and platform, and the method comprises the steps: carrying out the automatic discovery of network equipment through employing a distributed soft bus technology, and obtaining an authenticated equipment list; constructing an initial dynamic routing table and updating the initial dynamic routing table to obtain an optimized routing table; fragmenting the data to be transmitted and performing redundant coding to obtain a coded transmission unit; business is divided into real-time and non-real-time categories, a state space is constructed, and a business migration strategy is formulated; performing parallel transmission on the encoded transmission units, and dynamically adjusting a data distribution proportion; distributed cache nodes are deployed in a network, data transmission is optimized, efficient transmission and recovery of data are realized, and automatic discovery and security authentication of equipment, dynamic routing optimization, intelligent data fragmentation and coding, resource scheduling of service awareness, parallel transmission of multiple network interfaces and efficient utilization of distributed cache can be realized.

An apparatus has a network interface circuit to provide connectivity to a network. A memory is connected to the processor. The memory stores instructions executed by the processor to receive a registration request from an identification issuer machine. A distributed identification (DID) is assigned to the identification issuer machine. The DID is registered at an identification registry machine. An identification request is received from an identification holder machine. Verified identification evidence is collected from an identification validation machine. A verified identification credential is issued to a holder wallet associated with a user of the identification holder machine. The verified identification credential in the holder wallet is accessible only with permission from the user of the identification holder machine, which is selectively granted to different machines over time to establish a reusable digital identity.

The present disclosure pertains to an automated system for the identification and resolution of clashes involving reinforcing bars (rebars) in a three-dimensional (3D) model of a building project. The system integrates a computing device that receives and processes 3D models comprised of multiple building areas, each containing detailed rebar designs for beams and columns. A remote server, connected via a network interface, comprises a non-transitory storage device housing executable routines and a building construction history database. The database includes various 3D building templates with beam and column patterns, each marked with unique dimension data to facilitate clash detection. When spatial distances between rebar structures fall beneath certain threshold limits, indicating clashes or disagreements, the processing unit of system initiates an analysis. Utilizing historical data and comparative models, the processing unit formulates resolution strategies, calculates optimized rebar dimensions, and generates updated 3D models devoid of any conflicts. The clash-free models, including optimized beam and column BIMs, are subsequently rendered onto the display of computing device.

An in-kernel virtual machine (“VM”) instantiated in the kernel space of a physical or virtual machine (“machine”) attaches code hooks at a network interface of the machine. The code hooks redirect network traffic from the network interface to a module that generates feature values at the kernel space from protocol data units of network traffic received by the network interface. The machine passes the feature values from kernel space to user space via zero-copy shared memory and a machine learning model in the user space obtains network traffic verdicts as outputs from inputting the feature values. The machine passes the verdicts from user space to kernel space via the zero-copy shared memory and the in-kernel VM performs corrective action based on malicious verdicts.

An example system includes a vehicle having a first network zone and a second network zone of a different type than the first network zone and a converged network device (CND) interposed between the first network zone and the second network zone. The CND includes a policy manager circuit structured to interpret a policy comprising a network regulation description and an external communication permission value; a configuration circuit structured to configure at least one network interface circuit in response to the policy and to configure at least one gatekeeper interface circuit in response to the policy; the at least one network interface circuit structured to regulate communications between end points of the first and second network zone; and the gatekeeper interface circuit configured to regulate communications between end points of at least one of the first network zone or the second network zone and an external device.