Abstract: The present disclosure relates to a system and method for performing edge level inference is disclosed. The system includes a training unit to train, a plurality of models with historic data of one or more resources. The system includes a deploying unit to deploy, the one or more trained models onto one or more edge devices. The system includes a transceiver to receive, at the one or more edge devices, real time data which is required to be inferenced. The system includes an inference engine to inference, utilizing the one or more trained models, at the one or more edge devices, one or more events based on the real time data received.

Abstract: An aspect of the present disclosure facilitates routing diverse incoming requests to optimal computing options while satisfying requisite performance metrics. In one embodiment, in a computing environment having multiple compute types, a historical data containing characteristics in transport payloads of incoming requests, and characteristics in processing corresponding incoming requests by respective compute types is collected. A system trains, based on the historical data, a machine learning (ML) model to select compute types for incoming requests. Upon receiving a new incoming request sought to be processed, the system extracts from a transport payload of the new incoming request, the first set of characteristics to create a new request context. The system then applies the ML model to the new request context to identify a target compute type and forwards the new incoming request to the target compute type.

Abstract: Systems and methods for processing and evaluation of electronic documents are disclosed. A digital twin machine learning model is trained using a product taxonomy, a criteria knowledge base, and previous applications of the criteria to previous sets of digital files. A set of digital files is received and image processing is applied to the set of digital files to identify contents in each of the set of digital files. The set of digital files is analyzed using the digital twin machine learning model to identify one of a set of completion criteria to evaluate the set of digital files. For each of the set of digital files determine the classification in accordance with the product taxonomy and determine whether the digital file has a required classification. In response to determining a document does not meet completion criteria, identification of a required action for satisfying the document completion criteria is displayed.

Abstract: Techniques for script-based runtime assembly of object graphs using native instructions compiled by an ahead-of-time compiler are disclosed, including: generating, based on a data structure that defines a business process, a script including instructions for assembling an object graph that represents relationships between objects used by the business process; obtaining, at runtime by a business process execution engine compiled to native instructions by an ahead-of-time compiler, the script; assembling, at runtime by the business process execution engine, the object graph based at least on the instructions in the script.

Abstract: Provided are methods for identifying sub-merchants within a Global Merchant Repository (GMR) that include receiving sub-merchant data associated with one or more sub-merchants, from one or more payment facilitators associated with a plurality of sub-merchants, where the sub-merchant data comprises a Card Acceptor Identifier (CAID) associated with each of the one or more payment facilitators, assigning a plurality of pseudo acquirer identifiers to the sub-merchant data received from each of the one or more payment facilitators, and identifying the one or more sub-merchants in the GMR by mapping the sub-merchant data with transaction data associated with a plurality of merchants in the GMR, based on the plurality of pseudo acquirer identifiers and the CAID associated with the respective payment facilitators. Systems and computer program products are also disclosed.

Abstract: A data processing system implements techniques for operating and recovering databases that includes a plurality of replicas. The plurality of replicas includes a primary replica, a secondary replica, and a delta replica. The primary replica handles read and write operations, the secondary replica is a backup of the primary replica capable of read-only operations. The delta replica comprising a copy of the transactional log information of the primary replica but not the data. The system detects a failure of the primary and secondary replicas. The system instantiates a recovery workflow using the delta replica that includes initializing a second secondary replica; causing the second secondary replica to download backup data that represents a state of the primary replica prior to failure of the primary replica; updating the secondary replica using the backup data; and promoting the secondary replica to the primary replica.

Abstract: An aspect of the present disclosure facilitates secured access to protected resources. In one embodiment, a system (e.g., identity provider) receives, from an application service operating on a cloud node of a first cloud, a token request to access a protected resource hosted on a second cloud. The system generates a cloud web token containing a resource identifier of the protected resource, an application identifier associated with the application service and a node identifier of the cloud node. The system sends the cloud web token to the cloud node. Upon receiving, from the application service, an access request containing the resource identifier and the cloud web token, the system checks whether the cloud web token contained in the access request is valid. The system allows access to the protected resource if the cloud web token is determined to be valid, and denies access to the protected resource otherwise.

Abstract: Techniques are disclosed for implementing a self-learning cloud-based message broker are disclosed. The message broker can receive an event trigger that includes information usable to identify a subscribing client of a publisher-subscriber messaging system. The message broker can determine message parameters for one or more messages by sampling a distribution. The message broker can determine the message parameters in response to receiving the event trigger. The message broker can send the one or more messages to the subscribing client. The one or more messages can be characterized by the message parameters. The message broker can receive a response status from the subscribing client and, based on the response status, update the distribution.

Abstract: The techniques disclosed herein enhance the functionality of network computing infrastructure in resource constrained processes. This is accomplished by assigning differentiated weights to instances of a software service based on the role of the instance. In the context of the present disclosure, a role is a defined set of functionalities within a software service. An individual weight quantitatively represents the computing resource demand imposed by the functionalities of the role. A software orchestration system subsequently places the instances of the software service within a computing environment (e.g., a node, a cluster) for execution. As such, the computing environment can include a resource constraint that represents the capacity of the constituent computing resources to execute the instances of the software service. Accordingly, the instances are placed such that the sum of the weights of the instances is less than or equal to the resource constraint.

Abstract: A process for manufacturing a vehicle panel is disclosed. In some embodiments, the process includes processing a metal coil that is made of stainless steel to form a sheet; processing the sheet to form a processed sheet; and bending the processed sheet to form the vehicle panel.

Abstract: A database management system for managing a database includes each document being stored as a number of replicas for accessibility and data preservation. The system includes: a processor; a network interface; and a memory comprising programming instructions for execution by the processor to implement a database management service, the service configured to maintain a primary replica of a document, a number of secondary replicas of the document, and another log-only replica storing a log of changes to the document rather than contents of the document. The service makes head reads to the primary replica as needed when a read request to the number of secondary replicas does not result in a quorum.

Abstract: A database management system for managing a database includes each document being stored as a number of replicas for accessibility and data preservation. The system includes: a processor; a network interface; and a memory comprising programming instructions for execution by the processor to implement a database management service, the service configured to maintain a primary replica of a document, a number of secondary replicas of the document, and another log-only replica storing a log of changes to the document rather than contents of the document. The service makes head reads to the primary replica as needed when a read request to the number of secondary replicas does not result in a quorum.

Abstract: The techniques disclosed herein enhance the functionality of network computing infrastructure in resource constrained processes. This is accomplished by assigning differentiated weights to instances of a software service based on the role of the instance. In the context of the present disclosure, a role is a defined set of functionalities within a software service. An individual weight quantitatively represents the computing resource demand imposed by the functionalities of the role. A software orchestration system subsequently places the instances of the software service within a computing environment (e.g., a node, a cluster) for execution. As such, the computing environment can include a resource constraint that represents the capacity of the constituent computing resources to execute the instances of the software service. Accordingly, the instances are placed such that the sum of the weights of the instances is less than or equal to the resource constraint.

Abstract: An unmanned aerial vehicle includes a plurality of arms coupled along a body, each arm of the plurality of arms including: a linkage structure configurable in a first linkage state, a second linkage state, and a third linkage state. The vehicle can further include an actuation mechanism including: a ratchet gear having a contact surface that applies a lateral force against a leading link of the linkage structure to transition the linkage structure from the first linkage state to the second linkage state or the third linkage state; a bistable spring that transitions from a first spring state to a second spring state upon application of the lateral force against the leading link of the linkage structure; and a cable for straightening the linkage structure.

Abstract: Techniques for script-based runtime assembly of object graphs using native instructions compiled by an ahead-of-time compiler are disclosed, including: generating, based on a data structure that defines a business process, a script including instructions for assembling an object graph that represents relationships between objects used by the business process; obtaining, at runtime by a business process execution engine compiled to native instructions by an ahead-of-time compiler, the script; assembling, at runtime by the business process execution engine, the object graph based at least on the instructions in the script.