A method of generating a user interface for presentation to a user. The method comprises executing a first application computer program to provide a user interface, executing agent computer program code to interrogate and modify said user interface during execution of said first application computer program, and presenting said modified user interface. The first application computer program may be run on a server, while the modified user interface may be presented to a user at a client connected to said server.

Embodiments described herein include an emulator system having a synchronization subsystem comprising devices, organized in logical hierarchy, controlling synchronization of a system clock and system components during emulation execution. The devices of the logical hierarchy communicate bi-directionally, communicating status indicators upwards and execution instructions downwards. A TCI is designated “master TCI” and others are designated “slave TCIs.” The master TCI asserts a RDY status that propagates upwards to a root node for a number cycles. The slave TCIs execute in “infinite run” and continually assert the RDY status upwards to the root device regardless of the cycle count. The root node detects each RDY status and propagates downwards a GO instruction to the master TCI and the slave TCIs. In this way, the TCIs execute until the master TCI de-asserts RDY status. The result is only the master TCI is manipulated to, for example, start/stop emulation or perform iterative execution.

The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

Provided is a method including obtaining a first set of queries from an application of a first device for a set of values of a record, determining a numeric boundary based on the set of value, and providing a UI to the first device, where the UI including a UI element displaying the numeric boundary. The method includes obtaining an interface-selected value, obtaining devices using a second set of queries, and obtaining a first location of the first device and a plurality of locations associated with the devices. The process includes selecting a second device of the devices based on distances between the first location and the plurality of locations. The method includes determining whether an authentication value is received from the second device and updating a field of the record based on the interface-selected value in response to receiving the authentication value from the second device.

Processing logic may determine that an application is to produce one or more records to an event streaming platform. Processing logic may determine a data structure to contain content to be stored to the event streaming platform. Processing logic may automatically generate a serializer in view of the data structure during development of the application. During runtime, the application may use the serializer to serialize the content contained in the data structure and store the content to the one or more records of the event streaming platform.

A controller emulator, coupled to an interface that exposes the controller emulator to inputs from external sources, provides one or more control signals to a process simulator and a deep learning process. In response, the process simulator simulates response data that is provided to the deep learning processor. The deep learning processor generates expected response data and expected behavioral pattern data for the one or more control signals, as well as actual behavioral pattern data for the simulated response data. A comparison of at least one of the simulated response data to the expected response data and the actual behavioral pattern data to the expected behavioral pattern data is performed to determine whether anomalous activity is detected. As a result of detecting anomalous activity, one or more operations are performed to address the anomalous activity.

A method of generating a user interface for presentation to a user. The method comprises executing a first application computer program to provide a user interface, executing agent computer program code to interrogate and modify said user interface during execution of said first application computer program, and presenting said modified user interface. The first application computer program may be run on a server, while the modified user interface may be presented to a user at a client connected to said server.

An anti-malware system monitors the emulation of a suspicious program in a sandbox environment. The anti-malware system determines that the suspicious program is attempting to access a restricted area of memory (e.g., an executable instruction in the restricted area). Rather than stop the emulation, the anti-malware system can temporarily pause the emulation of the suspicious program. During this pause, the anti-malware system can determine whether the suspicious program is containable within the sandbox environment. If the anti-malware system determines that the emulation of the executable instruction is safe (e.g., that the program is containable), the anti-malware system will resume emulation. If the anti-malware system determines that the emulation of the executable instruction is not safe, the anti-malware system may shut down emulation.

The present disclosure relates to systems, methods, and non-transitory computer readable storage media for implementing a scalable, secure, efficient, and adaptable distributed digital ledger transaction network. Indeed, the disclosed systems can reduce storage and processing requirements, improve security of implementing computing devices and underlying digital assets, accommodate a wide variety of different digital programs (or “smart contracts”), and scale to accommodate billions of users and associated digital transactions. For example, the disclosed systems can utilize a host of features that improve storage, account/address management, digital transaction execution, consensus, and synchronization processes. The disclosed systems can also utilize a new programming language that improves efficiency and security of the distributed digital ledger transaction network.

A method for loading multiple versions of the same native library in a native runtime environment. In one embodiment, the method comprises cloning a native library workspace with a first version number as a cloned native library; applying a namespace across the cloned native library; injecting a macro into source code associated with the cloned native library; adding a dependency to the cloned native library in source code associated with the native runtime environment; and registering the first version number in a project configuration of the native runtime environment.