Novel tools and techniques are provided for implementing object-oriented infrastructure-as-code platform (“OOIACP”) and its functionalities. In various embodiments, an OOIACP may receive a request to perform a function from a requesting device. The OOIACP includes a declarative configuration language (“DCL”)-based infrastructure-as-code (“IAC”) software tool that provides structure and data functionalities and a wrapper tool that provides algorithm and sequence functionalities to the IAC software tool to convert the IAC software tool into an object-oriented programming (“OOP”)-based IAC system. The OOIACP uses a run command to perform the requested function, by identifying classes within a class hierarchy associated with the requested function, and initiating a set of procedures in each identified class. Each class and subclass within the class hierarchy has one or more predefined class behaviors, and each subclass inherits class behaviors of classes to which it belongs and of any intermediate subclasses.

Systems and methods related to charge locking circuits and a control system for qubits are provided. A system for controlling qubit gates includes a first packaged device comprising a quantum device including a plurality of qubit gates, where the quantum device is configured to operate at a cryogenic temperature. The system further includes a second packaged device comprising a control circuit configured to operate at the cryogenic temperature, where the first packaged device is coupled to the second packaged device, and where the control circuit comprises a plurality of charge locking circuits, where each of the plurality of charge locking circuits is coupled to at least one qubit gate of the plurality of qubit gates via an interconnect such that each of the plurality of charge locking circuits is configured to provide a voltage signal to at least one qubit gate.

An apparatus includes a CPU core, a first cache subsystem coupled to the CPU core, and a second memory coupled to the cache subsystem. The first cache subsystem includes a configuration register, a first memory, and a controller. The controller is configured to: receive a request directed to an address in the second memory and, in response to the configuration register having a first value, operate in a non-caching mode. In the non-caching mode, the controller is configured to provide the request to the second memory without caching data returned by the request in the first memory. In response to the configuration register having a second value, the controller is configured to operate in a caching mode. In the caching mode the controller is configured to provide the request to the second memory and cache data returned by the request in the first memory.

Systems and methods for fetchless acceleration of convolutional loops on an integrated circuit include identifying, by a compiler, finite state machine (FSM) initialization parameters based on computational requirements of a computational loop; initializing a programmable FSM based on the FSM initialization parameters, wherein the FSM initialization parameters include a loop iteration parameter identifying a number of computation cycles of the computational loop; executing the programmable FSM to enable fetchless computations by: generating a plurality of computational loop control signals including a distinct computation loop control signal for each of the number of computation cycles of the computational loop based on the loop iteration parameter; and controlling an execution of a plurality of computation cycles of a computational circuit performing the computational loop based on transmitting the plurality of computational loop control signals until the number of computation cycles of the computation loop are completed.

A data analysis system to analyze data. The data analysis system includes a data buffer configured to receive data to be analyzed. The data analysis system also includes a state machine lattice. The state machine lattice includes multiple data analysis elements and each data analysis element includes multiple memory cells configured to analyze at least a portion of the data and to output a result of the analysis. The data analysis system includes a buffer interface configured to receive the data from the data buffer and to provide the data to the state machine lattice.

A peripheral device includes a bus interface and circuitry. The bus interface is configured to connect to a peripheral bus for communicating with a host in accordance with a peripheral-bus specification that specifies a physical reset signal asserted by the host. The circuitry is configured to execute predefined logic that evaluates a reset condition that is indicative of imminent assertion of the physical reset signal by the host, and to perform a reset procedure in response to meeting the reset condition.

A system and method are disclosed for identifying malicious activity on a target device based on behavior analysis of the target device. The system includes a behavioral analyzer run on a virtual machine connected to the target device. The virtual machine collects system events and parameters from the target device and run a script, independent of the target device, to detect a threat. The script is a set of instructions executed to analyze behavior of an object by processing and correlating the events. The script includes a rule structure which stores signatures and expressions of the known malwares. By correlating the selected event parameters with known malware parameters, it is determined whether the event imposes a threat or not. A finite state machine is used for the state transition table.

Embodiments are disclosed for user posture transition detection and classification using a linked biomechanical model. In an embodiment, a method comprises: obtaining motion data from a headset worn by a user; selecting features of a linked biomechanical model based on a current posture state; determining at least one probability that a posture transition occurred based on an output of a classifier, where the output of the classifier is based on the selected features and the motion data; determining a posture transition based on the at least one probability; and performing at least one action based on detection of the posture transition.

Apparatus, systems, and methods for analyzing data are described. The data can be analyzed using a hierarchical structure. One such hierarchical structure can comprise a plurality of layers, where each layer performs an analysis on input data and provides an output based on the analysis. The output from lower layers in the hierarchical structure can be provided as inputs to higher layers. In this manner, lower layers can perform a lower level of analysis (e.g., more basic/fundamental analysis), while a higher layer can perform a higher level of analysis (e.g., more complex analysis) using the outputs from one or more lower layers. In an example, the hierarchical structure performs pattern recognition.

Embodiments of this application provide a data processing method and apparatus, a computer device, and a readable storage medium. The method includes: setting a state machine of a resource data transfer service to a first state in response to a start request for the resource data transfer service, the start request carrying a state identifier of the first state; executing a first service logic corresponding to the first state, to obtain an execution result of the first service logic; adjusting the state machine to a second state according to the execution result of the first service logic, and executing a second service logic corresponding to the second state, to obtain an execution result of the second service logic; and outputting a service execution result of the resource data transfer service according to the execution result of the second service logic when the second state is a termination state, a service logic of the resource data transfer service including at least the first service logic and the second service logic. In this way, the implementations of the resource data transfer service can be enriched.