181 results about "Programmable circuits" patented technology

Methods and apparatus to determine machine learning (ML) configurations for classifying malware are disclosed. An example server comprises interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to determine a computing parameter associated with a computing device, the computing device communicatively coupled to the server, select a ML model to deploy on the computing device based on the computing parameter, determine a configuration of the ML model based on the computing parameter, deploy the ML model to the computing device, and cause the deployed ML model to classify a sample as clean or malicious, the sample received at the computing device.

Methods, apparatus, systems, and articles of manufacture are disclosed for device authentication in a dedicated private network. An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to utilize the machine readable instructions to generate first credentials associated with a first network based on second credentials associated with a second network, the first credentials including first location data corresponding to a dedicated private network (DPN), cause a mobile device to program a programmable subscriber identity module (SIM) of the mobile device based on the first credentials, and permit the mobile device to access the DPN based on a determination that second location data corresponding to the mobile device and included with the programmable SIM corresponds to the first location data.

Systems, apparatus, articles of manufacture, and methods are disclosed. An example apparatus includes interface circuitry, machine-readable instructions, and programmable circuitry to at least one of instantiate or execute the machine-readable instructions to generate potential actions to, if implemented, re-assign a client device in the wireless network from a first base station device in the wireless network to another base station device in the wireless network, wherein the re-assignment is to cause the first base station device to stop communications with the client device and is to cause the another base station device to begin communications with the client device; execute a first machine learning model to predict which of the potential actions would satisfy a quality of service (QoS) threshold; execute a second machine learning model to select one of the potential actions predicted to satisfy the QoS threshold; and implement the selected action within the wireless network.

Systems, apparatus, articles of manufacture, and methods are disclosed to configure content-addressable memory resources. An example apparatus includes interface circuitry to access parameters to be used to configure content-addressable memory (CAM) of a compute device to implement a packet flow table, machine-readable instructions, and at least one programmable circuit to be programmed by the machine-readable instructions. The at least one programmable circuit is to convert the parameters into a hardware representation of the packet flow table, generate, based on the hardware representation, candidate configurations of two or more CAM slices of the compute device that satisfy the parameters, select one of the candidate configurations of the two or more CAM slices to implement the packet flow table based on respective performance characteristics of the candidate configurations, and configure the two or more CAM slices based on the selected one of the candidate configurations.

Systems, apparatus, articles of manufacture, and methods are disclosed for virtual execution environments and interface circuitry in time-sensitive networking. An example compute device includes interface circuitry, machine-readable instructions, and at least one programmable circuit to be programmed by the machine-readable instructions. The example at least one programmable circuit is to be programmed execute a first application for a time-sensitive network (TSN) in a first virtual execution environment (VEE) and execute a second application for the TSN in a second VEE. Additionally, the example at least one programmable circuit is to cause first real-time traffic to be sent from the first application to the interface circuitry based on a first schedule and cause second real-time traffic to be sent from the second application to the interface circuitry based on a second schedule such that transmission of the first real-time traffic does not occur at the same time as transmission of the second real-time traffic.

An example apparatus to control a power stage circuit includes: programmable circuitry configured to: generate, in response to an instruction from an external controller, a pulse in a first local clock signal, the pulse in the first local clock signal generated when a fly capacitor in the power stage circuit has discharged for a discharge period that is less than a threshold amount of time; and generate a pulse in a second local clock signal after the fly capacitor has charged for a charge period, wherein a length of the charge period is based on the length of the discharge period.

To provide a method, a device, a system, and an article for utilizing an artificial intelligence (AI)-based model to update a product design on the basis of an execution result of a generated verification code.SOLUTION: A device including a programmable circuit instantiates: generating, using a first trained artificial intelligence (AI)-based model, on the basis of an input design, a verification code; performing the verification code to generate a verifiability score for the input design; and adjusting, using a second trained AI-based model, on the basis of the verifiability score, the input design.SELECTED DRAWING: Figure 7

Methods, apparatus, systems, and articles of manufacture are disclosed to improve webservers using dynamic load balancers. An example method includes identifying a first and second data object type associated with media and with first and second data objects of the media. The example method also includes enqueuing first and second event data associated with the first and second data object in a first and second queue in first circuitry in a die of programmable circuitry. The example method further includes dequeuing the first and second event data into a third and fourth queue associated with a first and second core of the programmable circuitry, the first circuitry separate from the first core and the second core. The example method additionally includes causing the first and second core to execute a first and second computing operation based on the first and second event data in the third and fourth queues.

An example apparatus includes programmable circuitry configured to: provide a sample signal, a time amplification (TA) signal, and a kick signal to sample and conversion circuitry; sample a differential signal for a first amount of time-based on the sample signal; charge a first capacitor for a second amount of time-based on the first kick signal; after the first amount of time and the second amount of time, charge a second capacitor, the charging based on the first TA signal, the charging to cause a falling edge in a first delay signal; and generating, a rising edge in the delay signal based on the falling edge of O_RST signal.

An example apparatus disclosed includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of execute or instantiate the machine readable instructions to identify a first source of object label representation and a second source of object label representation, the first source or the second source including an estimated label prototype vector associated with an input text-based object query, determine a first contextualized embedding for the first source and a second contextualized embedding for the second source, and combine the first contextualized embedding and the second contextualized embedding to generate a candidate object representation associated with the input text-based object query.

Disclosed is a technical solution to accelerate deep learning with inter-iteration scheduling based on operation categorization associated with the deep learning. An example apparatus includes interface circuitry, programmable circuitry; and instructions to cause the programmable circuitry to: classify a group of operations of a distributed deep learning workload based on a resource utilization of the group of operations; select at least two operations of the group of operations for overlapped execution based on the classification and a dependency analysis of the at least two operations of the group of operations; and perform a distributed training of the distributed deep learning workload based on an execution schedule that includes overlapped execution of the selected at least two operations.

Systems, apparatus, articles of manufacture, and methods are disclosed for space-based monitoring of aircraft. An example space-based apparatus to monitor aircraft includes communication interface circuitry to access aircraft operation data; machine-readable instructions; and programmable circuitry to be programmed by the machine-readable instructions to: identify an anomaly based on the aircraft operation data; prepare an updated mission plan for an aircraft based on the anomaly; and communicate the updated mission plan to the aircraft.

Disclosed examples include interface circuitry, first instructions, and programmable circuitry to at least one of instantiate or execute the first instructions to access a file in a request from a client device, the file including at least a second instruction to retrieve device parameter data associated with at least one field device in a process control system, convert at least the second instruction of the file from a first format to a field device request in a second format, cause access of a first device parameter value of the device parameter data in the at least one field device based on the field device request, query a database to retrieve a second device parameter value of the device parameter data, and provide the first device parameter value and the second device parameter value to the client device.

An example apparatus includes: a first portion of storage having a first firmware image, the first firmware image including first instructions; a second portion of storage having a second firmware image, the second firmware image including firmware update instructions; memory circuitry; and programmable circuitry configured to at least one of instantiate or execute the first instructions of the first portion of storage to: implement the first firmware image in the first portion of storage; and copy the firmware update instructions of the second firmware image to the memory circuitry.

The present invention relates to a device for remotely monitoring temperature in animals that comprises a case (1) that in turn comprises a hollow interior (2) and a lid (3) comprising a first area (7) configured to be inserted into the case (1) and comprising indentations where joints (10) configured to ensure sealing are located and a second area (8) opposite the first area (7), and a core (4) housed in the hollow interior (2) of the case (1). The core (4) comprises a self-programmable circuit (12), a memory, a temperature probe (13), responsible for measuring temperature and which sends this information to the self-programmable circuit (12), and a battery (16).

Methods and apparatus to delete and prevent recovery of data stored in a memory array are disclosed. An example apparatus includes machine readable instructions; and at least one programmable circuit to at least one of instantiate or execute the machine readable instructions to: obtain an instruction to zeroize a memory array; and cause a voltage to be applied across a plurality of transistors associated with a plurality of memory cells in the memory array. The voltage is to set the plurality of memory cells to a same logical value. The voltage is applied across the transistors regardless of the logical values of the plurality of memory cells prior to receiving the instruction to zeroize the memory array.

Methods, devices, systems, and manufactured articles for the automatic processing of preliminary peripheral data are disclosed. An exemplary device includes at least one programmable circuit for using a machine learning model to select a first application or a second application based on context information associated with at least one of the first application, the second application, or an input signal from a peripheral device, and to forward the input signal to the selected first application or second application.

Methods and apparatus for facilitating a tire change are disclosed. An example apparatus includes an interface circuit, machine-readable instructions, and a programmable circuit to instantiate or execute the machine-readable instructions of at least one of: detecting an under-inflated tire of a vehicle; causing an air suspension system to raise a ride height of the vehicle to a first height in response to detecting the under-inflated tire; and causing the air suspension system to prevent air movement after the ride height is raised to the first height.

Systems, apparatus, articles of manufacture, and methods are disclosed to generate physical therapy exercise profiles. An example non-transitory machine readable storage medium comprising instructions to cause programmable circuitry to at least: obtain, via a user interface, an indication of a characteristic for an exercise; obtain, via the user interface, a video depicting a person performing the exercise; analyze, using a machine learning algorithm, the video to detect a body position and a movement of the person performing the exercise; and cause an exercise profile to be stored for the exercise, the exercise profile including the indication of the characteristic for the exercise, an identification of the body position, and an identification of the movement.

The invention relates to a method, an apparatus, and an article of manufacture for mitigating interference in Doppler distance representations. An example apparatus includes interface circuitry (212) for receiving digital samples representing a chirp frame. The apparatus includes programmable circuitry (214) programmable by instructions to: determine, for a range Fourier transform (FT) representation of the chirp frame, a reconstructed chirp in the chirp frame that includes chirps of corrupted samples; determining a first Doppler range representation of the chirp frame based on the range FT representation, the range FT representation including the reconstructed chirp; and determining a second Doppler distance representation as an element-by-element minimum between the first Doppler distance representation and a third Doppler distance representation of the chirp frame, the third Doppler distance representation based on the digital samples including reconstructed samples that replace the corrupted samples of the chirp. Other examples are described.

An automatic uncoupled charging device includes a control system, a power system, a charging system, and an auxiliary system. The control system is equipped with a programmable circuit to control a screw speed. Explosives are charged into a container through manual handling or flowing from a mixed explosive vehicle. Explosive bags with different diameters are installed at the bottom of a discharge port. The device is set to start with one click, and the screw drives the explosive into the bag, achieving uncoupled charging. An automatic uncoupled charging method applying to the automatic uncoupled charging device not only reduces labor intensity, achieves fast charging, improves labor efficiency, but also achieves the goal of “mechanization reducing personnel”, further advancing towards the essential safety of blasting construction.

An arithmetic operator includes: multiple arithmetic elements each serving as a programmable circuit capable of programming a logical function; and a data bus that connects two or more of the multiple arithmetic elements and that transmits transmission data. The transmission data includes first data used in one of the two or more arithmetic elements and second data used to reconfigure a logical function of any one of the two or more arithmetic elements, the transmission data destined for each of the two or more arithmetic elements on the same data bus is collectively transmitted on the same data bus at a cycle different with each of the two or more arithmetic elements, and each arithmetic elements receives the first data and the second data for own arithmetic element by extracting the transmission data destined for the own arithmetic element at a cycle associated with the own arithmetic element.

The invention provides a driving interface module and a use method thereof. The driving interface module comprises an input circuit, an instruction processing unit and an output circuit, the input circuit is used for receiving an instruction sent by the communication card and sending the instruction to the instruction processing unit; the instruction processing unit is used for decoding the instruction, determining a control command of the corresponding electromechanical equipment according to the decoded instruction, and sending the control command to the electromechanical equipment through the output circuit, so that the electromechanical equipment executes the control command; the processor is also used for sending an execution result to the output circuit when receiving the execution result fed back by the electromechanical equipment based on the control command; and the output circuit is used for outputting the execution result to the communication card. The driving interface module is responsible for managing a power supply and a communication interface, ensuring cooperative work with electromechanical equipment, and performing fault and state monitoring; the system can stably operate in high-radiation and extreme environments, and does not depend on a programmable circuit. And by simplifying command management, the operation convenience and the system stability are improved.

This disclosure relates generally to vehicle headlights and, more particularly, to camera-based control of the light emission angle of a vehicle headlight. An example headlight leveling apparatus includes interface circuitry, machine readable instructions, programmable circuitry to execute the machine readable instructions to based on at least one image captured by a front camera of a vehicle, determine a geometric relationship between an output light emitting direction of a headlight and a direction defining a current orientation of the front camera, determine a current pitch angle of the front camera based on images captured by the front camera, and control a vertical light emission angle of the headlight based on the geometric relationship and the current pitch angle of the front camera.

This invention relates to a photonic chip implemented through the combination and interconnection of identically oriented programmable photonic processing blocks, all of which are parallel along their longitudinal axes, implemented on a single photonic chip capable of implementing one or more simultaneous photonic circuits with optical feedback paths and / or linear multiport switching through appropriate programming of its resources and selection of its input and output ports. The invention also relates to a parallel field-programmable photonic array (P-FPPA) comprising at least one programmable circuit block based on an identically oriented / parallel adjustable beamsplitter with independent coupling and phase-shift configurations and a peripheral high-performance architecture.

Systems, apparatus, articles of manufacture, and methods to distribute workloads in server farms based on temperature are disclosed. An example first compute device includes at least one programmable circuit to at least one of instantiate or execute machine readable instructions to: analyze temperature data indicative of a first temperature of a first compute device and a second temperature of a second compute device; and cause an adjustment in at least one of a first workload executed by the first compute device or a second workload executed by the second compute device based on the temperature data, the adjustment to reduce a difference between the first and second temperatures.

A disclosed example non-transitory machine readable storage medium includes instructions to cause programmable circuitry to at least determine, based on output from at least one sensor, (i) a first parameter corresponding to a first position in a casing of a gas turbine engine, the first position at or downstream of a volume at which flows from respective ones of bleed offtakes are combined, and (ii) a second parameter corresponding to a second position in a casing of a gas turbine engine, the second position upstream from the first position, determine a status of at least one of the bleed offtakes or the at least one sensor based on the first and second parameters, and provide or indicate the status in response to the status indicating improper operation of at least one of the bleed offtakes or the at least one sensor.

An exemplary setup includes an interface circuit arrangement for receiving digital samples representing a frame of chirps.The device includes a programmable circuit arrangement that can be programmed by instructions to: determine a distance Fourier transform (FT) representation of the frame of chirps; determine a reconstructed chirp for a chirp in the frame of chirps that contains a faulty sample; determine a first Doppler distance representation of the frame of chirps based on the distance FT representation, where the distance FT representation contains the reconstructed chirp; and determine a second Doppler distance representation as an element-wise minimum between the first Doppler distance representation and a third Doppler distance representation of the frame of chirps, where the third Doppler distance representation is based on the digital samples, the digital samples containing a reconstructed sample that substitutes for the faulty sample of the chirp. Other examples are described.

Systems, apparatus, articles of manufacture, and methods are disclosed to throttle memory bandwidth for power management. An example apparatus includes machine-readable instructions and at least one programmable circuit to be programmed by the machine-readable instructions. The at least one programmable circuit is to determine an output power from a power management circuit of a memory, determine an input power to the power management circuit based on the output power, and based on the input power and a threshold power, adjust a bandwidth control setting of the memory.

Methods, apparatus, systems, and articles of manufacture are disclosed. An example system includes: interface circuitry; programmable circuitry; and instructions to program the programmable circuitry to: obtain audio of a media presentation; obtain ambient noise in an area associated with the media presentation; determine an intensity of a difference between the audio and the ambient noise; and determine an engagement level of an audience of the media presentation based on a duration the intensity satisfies a threshold value.