79 results about "Network Computer" patented technology

One embodiment is related to a method. The method includes receiving from a storage application server computer, a token request message comprising a user identifier associated with a storage application on a user device, and determining a token. The token is a limited use token. The method includes mapping the token to the user identifier, transmitting, a token response message comprising the token to the storage application server computer. The method includes receiving from a processing network computer, a de-tokenization request message comprising the token, after the processing network computer receives an authorization request message comprising the token from a resource provider computer via a transport computer. The method also includes determining the user identifier using the token, and transmitting the user identifier to the processing network computer.

Computer systems and methods with decentralized blockchain orchestration architecture use multiple orchestrators embedded at the cluster level. A push architecture is provided for manipulating and verifying workload configurations, including the ability to determine differences between stored configurations and actual configurations.

The invention relates to an integrated multi-modal neural network. A computer system obtains sensor data from a plurality of sensor devices during a duration, and the plurality of sensor devices include at least two different sensor types and are disposed in a physical environment. One or more signed events are detected in the sensor data, and one or more items of information are generated to characterize the one or more signed events detected in the sensor data, independently of the sensor type of the sensor device. A large behavioral model is applied to process the one or more items of information and produce a multi-modal output associated with the sensor data. The multi-modal output describes the signature event associated with the sensor data in one of a plurality of predefined output modalities. The multi-modal output is presented in accordance with the one of the plurality of predefined output modalities.

The invention relates to the field of data transmission, in particular to a one-way data transmission device which comprises a data transmission chamber and an optical disc recycling bin communicated with the data transmission chamber through an optical disc recycling opening. The data transmission room is provided with an external network unit, an internal network unit, a transfer bin and a signal transmission module; the external network unit is used for reading data from an external storage medium, recording the data in a pre-stored optical disk, transferring the optical disk to a transfer bin, and triggering the signal transmission module to send a signal to the internal network unit; and the intranet unit is used for transferring the optical disc in the transfer bin to the preset CD driver according to the signal, reading data from the optical disc in the preset CD driver, and transferring the optical disc from the preset CD driver to the optical disc recovery port. An absolute physical isolation barrier is established between the internal network and the external network, one-way, automatic and safe ferrying of data from the external network to the internal network is achieved, the risk of data leakage is effectively eradicated, and the safety and reliability of data transmission between computers of the internal network and the external network are improved.

Disclosed herein are systems and methods for a threat hunting development environment. The systems and methods may include running a networked assisted threat hunting environment configured to: establish a data transfer pipeline between the threat hunting environment and at least one tenant network via a dedicated user interface, the data transfer pipeline maintaining a connection between the threat hunting environment and the at least one tenant network during an active session and enabling continuous data communication via at least one SIEM server; query the at least one tenant network with queries developed via an integrated code editor; receive query result data from the at least one tenant network; analyze the result data for detected threats in the at least one tenant network; and push subsequent queries to the at least one tenant network based on the analyzed result data to respond to the detected threats.

Computer systems and methods with decentralized blockchain orchestration architecture use multiple orchestrators embedded at the cluster level. A push architecture is provided for manipulating and verifying workload configurations, including the ability to determine differences between stored configurations and actual configurations.

A computing device can execute a browser application to enable a user of the computing device to interact with a current user interface (UI) design file. The computing device can automatically preload a set of UI design files of the user from a backend network computer system into browser memory of the computing device. The computing device can detect an offline trigger on the computing device, and in response, initiate an offline mode on the browser application, where the offline mode enables the user to continue interacting with the current UI design file.

The invention discloses information network computer data equipment with a protection function, which comprises a box body and a protection module, and is characterized in that a mounting plate is fixedly mounted on the front side of the box body; the protection module comprises a mounting frame, a hollow foam plate, heat dissipation holes, a V-shaped frame, a driving assembly, a driving rod, a protection plate, a connecting hole and a mounting hole, the mounting frame is fixedly mounted at the top of the box body, the hollow foam plate is slidably mounted on the inner wall of the mounting frame, and the heat dissipation holes are formed in the top of the box body; the hollow foam plate moves upwards to be separated from the top of the box body and remove shielding of the heat dissipation holes, the hollow foam plate moves upwards to prevent the adhesion phenomenon of the hollow foam plate and the box body, and the hollow foam plate is pushed to avoid accidental shielding of the heat dissipation holes due to adhesion. The computer case has the advantage that on the premise that the heat dissipation efficiency is guaranteed, foreign matter is prevented from entering the case body.

A computer-implemented system facilitates controlled social interactions in public venues without exposing users outside those venues. A server receives location signals from user devices, confirms presence within a venue geofence using stored boundary data and short-range checks, and issues venue-bound session tokens. The server computes a venue “vibe” profile by fusing audio features, occupancy estimates, and explicit user feedback, and returns the profile to devices. Messaging between devices is authorized only while both present valid tokens; authorization is revoked and venue-scoped identifiers and message metadata are purged when a device leaves or a token expires. Optional features include Live-Peak time-gated live view with credit-based extensions, administrative boundary refinement, and tokenized payments to venue merchants upon acceptance of offers. The system supports interactions beyond dating, including friendship, group coordination, and professional networking.

Systems and methods for network-based delivery of dynamic content are disclosed. A method may include: receiving, by a network computer program, a location for a customer electronic device associated with a customer; determining, by the network computer program and from the location, that the customer is within a predetermined distance of a merchant; requesting, by the network computer program, content for one or more payment card issued by an issuer to the customer from an issuer backend for the issuer; receiving, by the network computer program, the content; and communicating, by the network computer program, the content to a merchant backend for the merchant. The merchant backend receives, from a merchant point of sale device, payment card information for one of the payment cards, retrieves the content for the payment card, and causes the merchant point of sale device to display the content on a display.

A system includes and non-transitory computer-readable media storing instructions an electronic processor configured to execute the instructions to receive a screening payload from a client platform, the screening payload identifying an authorization request, identify a stored enhanced authorization request corresponding to the identified authorization request, the stored enhanced authorization request including first device characteristics, identify a device on a network having second device characteristics, the second device characteristics matching the first device characteristics, and transmit a control signal to the identified device, the control signal configured to cause the identified device to generate an alert.

The utility model relates to the technical field of security and protection monitoring, and discloses a security and protection monitoring device for a network machine room, which comprises a mounting disc, a rotating shaft is rotatably mounted on the mounting disc, a rod body is fixedly mounted at the end part of the rotating shaft, a strip-shaped groove is formed in the rod body, the strip-shaped groove penetrates through the rod body, limiting clamping grooves are formed in two sides of the strip-shaped groove, and a sliding block is slidably arranged in the strip-shaped groove. Clamping blocks are fixedly installed on the two sides of the sliding block, the clamping blocks are slidably arranged in the limiting clamping grooves correspondingly, a lead screw penetrates through the middle of the sliding block and is in threaded connection with the middle of the sliding block, the end of the lead screw is rotatably installed on the inner side of the strip-shaped groove, a driving shell is fixedly installed on the rod body, a first motor is installed in the driving shell, and an output shaft of the first motor penetrates through the rod body and is fixedly connected with the lead screw; a fixing cylinder is arranged on one side of the sliding block, and a monitoring body is detachably installed in the fixing cylinder. Therefore, the installation angle of the solid cylinder can be adjusted, the applicability is expanded, and the use flexibility is improved. And the monitoring main body is convenient to mount, dismount, overhaul and maintain.

Embodiments of the invention are directed to access transactions. A gate access device may interact with a payment card such as a credit card. The gate access device may generate and transmit a first authorization request message to a payment processing network computer. The first authorization request message does not include an amount for the transaction, but only contains identification information. A first authorization response message is transmitted back to the gate access device. At a later point in time, a second authorization request message containing the transaction amount is transmitted from the gate access device to the issuer, and a response is received from the issuer.

Machine learning systems and methods for computer modeling and optimization of telecommunications networks are provided. The system processes information relating to a telecommunications network, such as a cellular telephone network, and generates a directed network graph that represents the network as a series of connected edges and nodes with associated attributes such as transmitter power, antenna tilt, radio resource control information, handover attempts, collisions, and other parameters. The network graph is stored in a graph database, and is processed by one or more network graph model inference modules which apply one or more specially-trained artificial intelligence (AI) models to the network graph to generate an optimized version of the network graph that can be utilized to improve the telecommunications network. A modeling visualization interface is also provided, and allows users of the system to visualize modeling and optimization performed by the system.

A method is disclosed. The method includes receiving from the storage application server storing additional data from an authorizing entity computer, a token cryptogram request message comprising a token associated with a credential. The method further includes transmitting, to the storage application server, a token cryptogram, receiving, by the processing network computer, action data for an action to be taken with respect to the additional data, and storing the action data, the token, and a token cryptogram associated with the token in a database. The method also includes performing an authorization process using the token and the token cryptogram, and then performing additional processing with respect to the action.

The embodiments disclose an apparatus including a broadcasting network platform configured to provide free viewer services accessed by members, at least one server with at least one digital processor coupled to the broadcasting network platform, at least one database coupled to the at least one server, communication connectivity devices coupled to the at least one server, a network computer coupled to the at least one server, a free TV.net mobile app coupled to the network computer, a podcast recording device coupled to the at least one database configured to record a podcast program, a syndication (RSS) feed device coupled to the podcast recording device configured to convert the podcast into universally transferable electronic formats for multiple electronic formatted devices, at least one artificial intelligence device coupled to the at least one server, and at least one translation device coupled to the communication connectivity devices.

The application discloses a kind of light weight model compression vehicle detection methods, it is related to convolutional neural network computer vision field.The method uses channel pruning algorithm and model compression algorithm is combined, and YOLOv4-tiny light weight model is compressed to model.By using Mosaic data enhancement method to vehicle training data set is carried out data enhancement and expansion, and the original data set is expanded to the twice of original training data set;Using BN layer parameter to measure the importance of channel, channel pruning is carried out, and the channel below the pruning proportion in input layer weight is deleted, the corresponding channel of output layer is adjusted, and the parameter quantity of network model structure is reduced;The knowledge distillation algorithm based on classification task is applied to target detection, and local sample points are sampled and extracted, to learn local area information from teacher model, improve the accuracy of network model.

1. The name of the design product: network computer. 2. The use of the design product: for running computer programs and connecting display devices. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

One embodiment is related to a method. The method includes receiving from a storage application server computer, a token request message comprising a user identifier associated with a storage application on a user device, and determining a token. The token is a limited use token. The method includes mapping the token to the user identifier, transmitting, a token response message comprising the token to the storage application server computer. The method includes receiving from a processing network computer, a de-tokenization request message comprising the token, after the processing network computer receives an authorization request message comprising the token from a resource provider computer via a transport computer. The method also includes determining the user identifier using the token, and transmitting the user identifier to the processing network computer.

Methods and systems are configured to deploy additional network computer resources in response to a predicted increase in streaming of one or more items of content. Searches related to an entity are monitored. A first baseline with a quantity of searches for the entity over given time periods is determined. A search peak is detected. A second baseline with respect to a quantity of searches for the entity after the detected spike. A determination is made as to whether the second baseline is greater than a threshold difference from the first baseline, and if so a change in interest that has occurred with respect to the entity is determined. In response to determining that the change in interest has occurred, a deployment of computer resources is performed, comprising a change in a number of streaming servers used to stream content related to the entity.

A method and system for filtering service requests by destination and deadline are described. A network computer system receives provider data corresponding to a specified destination and a deadline from a service provider. The network computer system tracks a current location of the service provider through a device equipped with one or more location-based resources and receives request data corresponding to requests for service from users. The network computer system analyzes the request data for each of the requests for service to identify a subset of the requests that are assignable to the service provider based on whether the service provider is able to fulfill the request and travel to the desired destination before the deadline. The network computer system transmits a message to the service provider's device requesting that the service provider fulfill one of the requests for service from the identified subset.

A computer-implemented system and method for distributed memory-native networking using agents. Each agent comprises a unique identifier, payload, memory field containing lineage and policy references, transport metadata, and a cryptographic signature. A modular protocol stack processes these agents through routing, indexing, and consensus layers, with behavior determined by embedded memory. Routing decisions are trust-scoped based on memory-derived access logs and health feedback. Mutation proposals are validated using dynamic, memory-referenced quorum formation. The system enables stateful, policy-bound propagation, structural reorganization, and adaptive execution without centralized coordination or persistent session state. It operates over conventional transport protocols and supports interoperability with cognition-layer payloads, including semantic execution. The architecture allows dynamic trust modeling, autonomous network adaptation, and memory-driven mutation governance across heterogeneous, decentralized, and highlatency environments.

One embodiment is related to a method. The method includes receiving from a storage application server computer, a token request message comprising a user identifier associated with a storage application on a user device, and determining a token. The token is a limited use token. The method includes mapping the token to the user identifier, transmitting, a token response message comprising the token to the storage application server computer. The method includes receiving from a processing network computer, a de-tokenization request message comprising the token, after the processing network computer receives an authorization request message comprising the token from a resource provider computer via a transport computer. The method also includes determining the user identifier using the token, and transmitting the user identifier to the processing network computer.

The invention discloses a payment path hard constraint forwarding method based on topology locking, and relates to the technical field of block chain payment channel networks, computer network routing control and encrypted communication. The method comprises the following steps: a payment initiator linearly couples a global identifier, a node identity identifier and a node sequence number of a preset payment path through a hash function according to a node sequence of the preset payment path to generate a control key; constructing a self-routing data packet according to the control key, wherein the self-routing data packet comprises a path topology anchor point, a path up-down field and a path control field; the relay node carries out blind decryption and topology verification on the self-routing data packet, and forwards the self-routing data packet according to a preset path after verification is passed; and the receiver decrypts the data packet and triggers the settlement logic after confirming that the path is compliant. According to the method, the calculation overhead of the relay node is remarkably reduced while path enforcement is guaranteed, and the method is suitable for a high-frequency and large-amount multi-path payment scene.

A method includes receiving, by an acceptance server computer from a user device, a sender account identifier. The method also includes generating an authorization request message comprising primary account identifier data field comprising the sender account identifier, an amount data field comprising a value, and an additional data field comprising a receiver account identifier. The additional data field is associated with an acquiring institution. The method includes transmitting, to a first authorizing entity computer associated with the sender account identifier via a processing network computer, the authorization request message. In response to transmitting the authorization request message, the method includes receiving, from the first authorizing entity computer, an authorization response message. In response to receiving the authorization response message, the method includes transmitting, to a second authorizing entity computer associated with the receiver account identifier, an advice message comprising the receiver account identifier and the value.

Machine learning systems and methods for computer modeling and optimization of telecommunications networks are provided. The system processes information relating to a telecommunications network, such as a cellular telephone network, and generates a directed network graph that represents the network as a series of connected edges and nodes with associated attributes such as transmitter power, antenna tilt, radio resource control information, handover attempts, collisions, and other parameters. The network graph is stored in a graph database, and is processed by one or more network graph model inference modules which apply one or more specially-trained artificial intelligence (AI) models to the network graph to generate an optimized version of the network graph that can be utilized to improve the telecommunications network. A modeling visualization interface is also provided, and allows users of the system to visualize modeling and optimization performed by the system.

A disclosed method includes a tokenization computer receiving, from a processing network computer, a tokenization request message during an interaction between a first user device and a second user device. The tokenization request message comprises first user account data and second user account data. The tokenization computer can select a tokenization option of a plurality of tokenization options in a tokenization matrix based on the first user account data and the second user account data. The tokenization computer can then determine alternate first user account data and alternate second user account data based on the tokenization option. The tokenization computer can generate a tokenization response message comprising the alternate first user account data and the alternate second user account data. The tokenization computer can then provide the tokenization response message to the processing network computer.

Computer-implemented systems, products, and methods for receiving data characterizing a set of user-define parameters from a first entity including at least a target assessment rating and a target time duration; simulating, based on the received data, one or more scenarios, wherein each of the one or more scenarios is associated with a set of action items; determining a total score for each set of action items for each scenario; removing, using an analytic decision tree, any scenario from the one or more scenarios that includes a total score that fails to satisfy a set of predetermined criteria; determining an efficiency factor associated with each of the one or more remaining scenarios; and providing the remaining one or more scenarios in a hierarchical position based on the efficiency factor.