A method includes receiving a request from a vehicle to perform a computing task, selecting a machine learning model from among a plurality of machine learning models based at least in part on the request, and predicting an amount of computing resources needed to perform the computing task using the selected machine learning model.

A computer-implemented method to identify unauthorized use of a device based on a usage pattern. The method includes tracking usage of a device, wherein the usage includes activity by a user interacting with the device. The method includes identifying a usage pattern, wherein the usage pattern is based on usage data. The method further includes generating, based on the usage pattern, a heatmap. The method includes predicting future usage of the device by the user, wherein the predicting includes generating a Markov chain of the predicted future usage. The method also includes determining actual usage is different than the predicted usage. The method further includes calculating, in response to determining the actual usage is different than the predicted future usage, a difference score. The method includes determining the difference score is above a difference threshold, and activating, in response to the difference score being above the difference threshold, an alert.

A real-time computer network application in the aeronautic industry for in-flight reconfiguring of the integrated modular avionics modules onboard aircraft, via spatial and temporal partitioning of modules conforming a data processing system including a computer-implemented method for in-flight Integrated Modular Avionics reconfiguration, a data processing system for the mentioned reconfiguration, a computer program product and a computer-readable medium, both to perform such reconfiguration.

Provided are a method and an apparatus for testing AI chip computing performance, and a non-transitory computer-readable storage medium. The method includes: forming computing performance result data of a to-be-tested AI chip according to a plurality of items of simulation data formed in a development process of the to-be-tested AI chip; acquiring a function instruction set matched with a to-be-tested service function, wherein the function instruction set is composed of a plurality of instructions in a standard instruction set matched with the to-be-tested AI chip; and predicting computing time required by the to-be-tested AI chip to execute the to-be-tested service function according to the function instruction set and the computing performance result data.

A display control apparatus includes a log processing unit that reads an operation log related to operation information and generates first and second object groups indicating operation information represented by first and second visualized representations in first and second two-dimensional planes of a three-dimensional, respectively, the second two-dimensional plane being that is different from the first two-dimensional plane, such that a position of a first object of the first object group and a position of a second object of the second object group which indicate same operation information match on a common axis of the first and second two-dimensional planes, a display control unit that sets a coordinate of each of the first and second objects on the common axis, and a visualization unit that draws an object corresponding to an instructed visualized representation in accordance with the coordinates to perform screen display.

A simplex Flight Control Computer (FCC), usable in conjunction with a neighboring FCC, includes an input providing module for receiving sensor, system and neighboring FCC data; a processing unit for executing a command partition and a monitor partition, the processing unit receives the sensor, system data and neighboring FCC data; the monitor partition monitors the neighboring FCC data and provides a monitoring indicative signal to the neighboring FCC, and the command partition generates command signals; a hardware monitoring module provides a validity signal indicating FCC health; an output cutoff module receiving the FCC validity signal and enable signals generated by each monitor partition; the output cutoff module providing an enable signal based on a predetermined enabling strategy; and an enable switch connected with the output cutoff module and the processing unit and providing a received signal from the command partition according to the enable signal.

A resource processing method includes: determining a current application scenario and usage data of the mobile terminal; inputting the usage data into a machine learning algorithm model corresponding to the current application scenario to obtain predicted recommendation parameters; and configuring resources of the mobile terminal based on the recommendation parameters.

Devices, systems, and methods for providing an engine control system configured with a two-part test equipment monitor where at least one part is selectively removable are disclosed. An engine control system for an aircraft includes an electronic control unit (ECU). The ECU is configured to implement a production support equipment module and a selectively removable test support equipment module. The production support equipment module enables restricted data monitoring of the engine control system. The test support equipment module enables a comprehensive interface with the engine control system when installed with the ECU.

Presented are concepts for processing an event log. Once such concept obtains an event log comprising a log of event occurrences for an executed process. It also obtains an events embedding model representative of relationships between a plurality of events of one or more processes. Based on the events embedding model, repeating events in the event log are clustered into one or more groups, and each of the one or more groups are associated with a respective identifier. Repeating events in the event log are then replaced with the identifier associated with the group that the repeating event is a member of.

A memory system includes a processing device (e.g., a controller implemented using a CPU, FPGA, and/or logic circuitry) and memory regions (e.g., in a flash memory or other non-volatile memory) storing data. The processing device receives an access request from a host system that is requesting to read the stored data. In one approach, the memory system is configured to: receive, from the host system over a bus, a read command to access data associated with an address in a non-volatile memory; in response to receiving the read command, access, by the processing device, multiple copies of data stored in at least one memory region of the non-volatile memory; match, by the processing device, data from the copies with each other; select, based on matching data from the copies with each other, first data from a first copy of the copies; and provide, to the host system over the bus, the first data as output data.