A method, system, and computer program product for dynamically ensuring SDK integrity load, at a merchant system, a software development kit (SDK) wrapper from a payment gateway system via a merchant webpage associated with the merchant system; execute the SDK wrapper, the SDK wrapper loading an SDK core when executed; determine an integrity of the SDK core; in response to determining the integrity of the SDK core, perform a handshake between the SDK wrapper and the SDK core and overload a real function exported by the SDK wrapper; and provide, from the merchant system via the SDK core, a secure payment container request to a payment gateway system.

In general, certain embodiments of the present disclosure provide methods and systems for enabling a reproducible processing of machine learning models and scalable deployment on a distributed network. The method comprises building a machine learning model; training the machine learning model to produce a plurality of versions of the machine learning model; tracking the plurality of versions of the machine learning model to produce a change facilitator tool; sharing the change facilitator tool to one or more devices such that each device can reproduce the plurality of versions of the machine learning model; and generating a deployable version of the machine learning model through repeated training.

In general, certain embodiments of the present disclosure provide methods and systems for enabling a reproducible processing of machine learning models and scalable deployment on a distributed network. The method comprises building a machine learning model; training the machine learning model to produce a plurality of versions of the machine learning model; tracking the plurality of versions of the machine learning model to produce a change facilitator tool; sharing the change facilitator tool to one or more devices such that each device can reproduce the plurality of versions of the machine learning model; and generating a deployable version of the machine learning model through repeated training.

This disclosure relates to blockchain smart contract-based data processing. In one aspect, a method includes obtaining, by a node in a blockchain network in which a service smart contract is deployed, a service initiation transaction. The service initiation transaction is broadcast to other nodes. While executing the service initiation transaction, the service smart contract is invoked using a blockchain virtual machine that includes a first instruction set comprising a data exchange instruction and processing logic corresponding to the data exchange instruction. The node triggers execution of the processing logic based on the data exchange instruction in the service smart contract using the blockchain virtual machine, thereby performing a data exchange processing operation on data to be processed. A second instruction set of a smart contract compiler includes the data exchange instruction. The service smart contract is compiled using the smart contract compiler and includes the data exchange instruction.

Techniques are disclosed for reordering operations of a neural network to improve runtime efficiency. In some examples, a compiler receives a description of the neural network comprising a plurality of operations. The compiler may determine which execution engine of a plurality of execution engines is to perform each of the plurality of operations. The compiler may determine an order of performance associated with the plurality of operations. The compiler may identify a runtime inefficiency based on the order of performance and a hardware usage for each of the plurality of operations. An operation may be reordered to reduce the runtime inefficiency. Instructions may be compiled based on the plurality of operations, which include the reordered operation.

Various methods and systems for documenting interactive graphical design include an exemplary graphical design environment stored on a non-transitory computer-readable medium that comprises a documentation element in an interactive graphical design. The design environment also comprises a design element that displays a plurality of states in a rendering of the interactive graphical design in an external player. The documentation element: (i) is enabled to receive a selection from the user of a state in the plurality of states; and (ii) displays a representation of the design element in the state in response to receiving the selection from the user. The documentation element and design element are both instantiated by a processor operating in combination with the non-transitory computer-readable medium.

Various methods and systems for documenting interactive graphical design include an exemplary graphical design environment stored on a non-transitory computer-readable medium that comprises a documentation element in an interactive graphical design. The design environment also comprises a design element that displays a plurality of states in a rendering of the interactive graphical design in an external player. The documentation element: (i) is enabled to receive a selection from the user of a state in the plurality of states; and (ii) displays a representation of the design element in the state in response to receiving the selection from the user. The documentation element and design element are both instantiated by a processor operating in combination with the non-transitory computer-readable medium.

An information processing device includes: a memory; and a processor coupled to the memory and configured to: automatically generate an image classification program that classifies a first learning image group classified into two classes in advance into the two classes on a basis of the genetic programming; and generate a multi-class image classifier that gives a second learning image group classified into three or more classes in advance to the image classification program automatically and classifies the second learning image group into the three or more classes.

A system and method for communicating events between applications. A first application receives event information for an event. A first action is performed by the first application in response to receiving the event information. The first application generates an event message comprising an event name and a message payload. The message payload comprises at least a portion of the event information. The first application publishes the event message by sending the event message to an event message pipeline. A second application may listen for the event message in the event message pipeline, receive the event message from the event message pipeline, and use the message payload to perform a second action, wherein the second action is different from the first action.

A system and method for communicating events between applications. A first application receives event information for an event. A first action is performed by the first application in response to receiving the event information. The first application generates an event message comprising an event name and a message payload. The message payload comprises at least a portion of the event information. The first application publishes the event message by sending the event message to an event message pipeline. A second application may listen for the event message in the event message pipeline, receive the event message from the event message pipeline, and use the message payload to perform a second action, wherein the second action is different from the first action.