1661 results about "Program instruction" patented technology

A microprocessor includes execution units that execute macro-operations (MOPs), a decode unit that decodes architectural instructions into MOPs, an instruction fetch unit (IFU) having an instruction cache that caches architectural instructions and a macro-operation cache (MOC) that caches MOPs into which the architectural instructions are decoded. A prediction unit (PRU) predicts a series of fetch blocks (FBs) in a program instruction stream to be fetched by the IFU from the MOC if hit or from the instruction cache otherwise. A branch target buffer (BTB) caches information about previously fetched and decoded FBs. A counter of each BTB entry is incremented when the entry predicts the associated FB is present again. For each FB in the series, the PRU indicates whether the counter has exceeded a threshold for use deciding whether to allocate the MOPs into the MOC in response to an instance of decoding the instructions into the MOPs.

A system for automating information technology software actions using advanced AI techniques including a processing system, storage medium, a communications interface, a user interface, a natural language processing model or neural network, operable to interface with at least one of an embedded prompt or chatbot prompt and hosted on a control node which communicates with one or more nodes comprised by a node network via the communications interface, and program instructions on storage medium that direct the processing system to receive an instruction from the user interface, process the instruction using the one or more natural language processing model or neural network, along with one or more AI agents, and execute the instruction one of locally or on a node of the node network via the communications interface.

The invention discloses a method for automatically drawing an OpenGL (Open Graphics Library) program by using Vulkan. The method comprises the following steps of: creating a context used by the Vulkan, initializing each module, processing an OpenGL instruction related to texture and data buffering, and managing storage of texture and data buffering resources in a video memory; a shader program used by the OpenGL is preprocessed into a format acceptable to Vulkan, and an OpenGL shader program instruction is created and destroyed; processing an OpenGL (Open Graphics Library) instruction related to frame buffering to generate structural body information required by Vulkan dynamic rendering; an OpenGL instruction of the sampler is also created; processing an OpenGL (Open Graphics Library) instruction for creating a vertex input format and managing a vertex data buffer area, and maintaining vertex input information, a vertex buffer area and an index buffer area required by Vulkan; and finally, drawing or calculating, distributing and calling Vulkan on the basis of all the instructions.

A method and system for generating a privilege based segmented instruction prompt has been developed. Trusted instructions defining the trusted instructions as having a first privilege level, program instructions as having a second privilege level, and data instructions as having a third privilege level are received. The program instructions to implement tasks associated with the data instructions are received. The data instructions are received. The generated privilege based segmented instruction prompt includes the trusted instructions, the program instructions, and the data instructions. The privilege based segmented instruction prompt enables a generative LLM to determine whether the privilege based segmented instruction prompt is an instruction injection attack based on whether there is a conflict between the trusted instructions, the program instructions, and the data instructions in violation of the first, second, and third privilege levels.

A system includes a processor; a memory; an electronic network; an application including computing instructions configured to be executed by the processor; and a multilingual dialogue server accessible by the application, comprising a language detection model, and an automatic speech recognition model; wherein the computing instructions of the app, when executed by the one or more processors, are configured to cause the one or more processors to: receive input; analyze the input using the trained model; select a speech model; analyze the input; generate metadata; and transmit the metadata. A method includes receiving input; analyzing the input; selecting a speech model; analyzing the input; generating metadata; and transmitting the metadata. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to: receive input; analyze the input; select a trained speech model; analyze the input; generate metadata; and transmit the metadata.

The invention relates to a neuromorphic computing system and computing method based on a spiking neural network, and the system comprises a neuromorphic processor which is used for constructing a hardware-based spiking neural network through employing a plurality of physical neurons, and carrying out the pulse coding and target recognition of a real-time input image; the central processing unit is realized on the basis of an RISC-V instruction architecture and is used for executing a control instruction required for constructing the pulse neural network; the neuromorphic processor is also used for carrying out online learning on the pulse neural network under the control of the control instruction; and the memory is used for storing program instructions required by the operation of the central processing unit and data transmitted between the central processing unit and the neuromorphic processor. The invention further provides a neuromorphic calculation method. According to the technical scheme of neural morphology calculation, high balance among precision, calculation speed and energy efficiency is achieved, and dynamic and complex task data can be processed accurately and efficiently with low power consumption.

An integrated development environment (IDE) for uses a generative artificial intelligence (AI) model to generate industrial control code in accordance with functional requirements provided to the industrial IDE system as natural language prompts. The system's generative AI model leverages both a code repository storing sample control code and a document repository that stores device or software manuals, program instruction manuals, functional specification documents, or other technical documents. These repositories are synchronized by digitizing selected portions of document text from the document repository into control code for storage in the code repository, as well as contextualizing control code from the code repository into text-based documentation for storage in the document repository.

Disclosed is a surgical end effector for use with a surgical instrument. The surgical end effector comprises a jaw, and a staple cartridge seatable in the jaw. The staple cartridge comprises a sensor array configured to take measurements corresponding to a parameter associated with a function of the surgical instrument, a processor, and a memory storing program instructions. The memory storing program instructions that, when executed by the processor, cause the processor to perform an initial calibration of the sensor array, determine an initial adjustment to the measurements based on the initial calibration, perform an in-use calibration of the sensor array, and modify the initial adjustment based on the in-use calibration.

Embodiments are presented herein for trailer sway detection and mitigation using a camera mirror system. In one embodiment, a vehicle controller is provided comprising: one or more processors; a non-transitory computer-readable medium; and program instructions stored on the non-transitory computer-readable medium. When executed by the one or more processors, the program instructions cause the one or more processors to: monitor images captured by at least one image capture device to detect sway of a trailer being towed by a tractor; and in response to detecting sway of the trailer, cause a braking system to apply a brake to attempt to reduce to the sway of the trailer.

A system to analyse impact of data breaches on sensitive data is disclosed. The system includes a hardware processor and memory with program instructions for executing various modules. The data collection module retrieves and enriches impacted data from multiple repositories. The data identification module uses data loss prevention (DLP) and named entity recognition (NER) techniques, enhanced by large language models (LLMs), to accurately identify personal information. The identity deduplication module consolidates individual references using deterministic and probabilistic techniques, while the residency inference module applies machine learning and heuristic methods to determine residency based on various data sources. The analysis module assesses impacted data to identify relevant laws and estimate fines. The automation module streamlines response actions, including generating notifications and ensuring compliance. This system enhances breach response efficiency through integrated, automated analysis and actions.

Systems and methods for risk assessment of user accesses to data resources are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include: a processor; and a memory coupled to the processor, where the memory includes program instructions store thereon that, upon execution by the processor, cause the IHS to: obtain a plurality of resource risk weights of a respective plurality of resources, and a plurality of access permissions of a user for the respective plurality of resources; and generate based, at least in part, on the plurality of resource risk weights and the plurality of access permissions of the user, a risk score for the user that represents a level of security impact of the user on the plurality of resources.

A robotic module of a weed removal system is disclosed, with a mounting interface to support the robotic module on a frame. An end effector is displaceable between an elevated and a down position, with an actuation unit engaged to the end effector to cause such displacement. A detection unit is included, for capturing images of a ground surface and monitoring a position of the system relative to a detection area moving relative to the system. A controller includes a processing unit, and a non-transitory computer- readable memory communicatively coupled to the processing unit and comprising computer-readable program instructions executable for receiving the images and position data from the detection unit, processing the images to detect the presence of weeds in the detection area, associating position data received from the detection unit to weeds in the detection area, and driving a displacement of the end effector to reach a weed.

Systems and methods for temporary and group-based pairing of wireless shared devices are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include: a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: receive pairing information for a wireless shared device; pair with the wireless shared device on a temporary basis; and purge the pairing information from the IHS based, at least in part, on an occurrence of an expiration event. In another illustrative, non-limiting embodiment a method may include simultaneously connecting a shared peripheral to a plurality of IHSs; providing functional service of the peripheral to a first IHS, while denying functional service of the peripheral to a second IHS; and at a predetermined time, switching the provision of the functional service of the peripheral.

In some embodiments, the disclosure provides a method that includes executing, by a processor of a computing device, application instructions to display an access controller interface element and an access code on a screen of the computing device, the access controller interface element operatively linked to an access restricted digital resource; transmitting, by the processor, an access request over the cellular network based on an activity performed using the access controller interface element, including an access code and an identity linked to the computing device; the processor receives an access program instruction through the Internet to respond to transmission of the access request and receive the access program instruction through the application program so as to unlock access to the limited digital resource for access through the computing device; and executing, by the processor, the access program instructions to unlock the access restricted digital resources for access by the computing device.

Systems and methods for accident detection and notification are described. In some embodiments, an Information Handling System (IHS) may include: an Embedded Controller (EC); and a memory coupled to, or integrated into, the EC, where the memory includes program instructions that, upon execution by the EC, cause the EC to: receive sensor data from a sensor; determine, based at least in part on the sensor data, that an accident occurred to the IHS; and in response to the determination, issue a notification. In some embodiments, to issue the notification, the program instructions, upon execution, further cause the EC to: transmit information to a second IHS via a personal area network (PAN).

A vehicle corner module (VCM) is provided for regulating motion of a host vehicle which comprises a vehicle-onboard vehicle-controller. The VCM comprises a sub-frame mountable to a reference frame of the host vehicle; a wheel-hub assembly comprising a wheel-hub; VCM-sub-systems mediating between the sub-frame and the wheel-hub assembly, e.g., a drive subsystem, a steering subsystem, a suspension subsystem and / or a braking subsystem; and an VCM-onboard VCM-controller, comprising one or more processors and a computer-readable medium storing program instructions that, when executed by the one or more processors, cause the one or more processors to establish a communication link with a vehicle-controller, including electronically transferring information about the VCM from the VCM-controller to the vehicle-controller, and to perform, in response to an installation of the VCM on a vehicle, a post-installation validation-process that includes validating the VCM-subsystems and communicating a result of the validating to the vehicle-controller.

The invention provides a processor based on an RISC-V architecture and a data processing system and method. The processor comprises an instruction obtaining unit, an instruction decoding unit, a register file, a distribution unit, an execution unit, an expansion processing unit and a data access interface. Decoding the program instruction to obtain an instruction type and an application field type; identifying an application field type, distributing the program instruction to an execution unit and an expansion processing unit according to a preset distribution rule under the condition that the application field type accords with a preset field type, and identifying an instruction type under the condition that the application field type does not accord with the preset field type; when the instruction type of the program instruction is an RISC-V instruction set instruction, the RISC-V instruction set instruction is distributed to the execution unit, and when the instruction type of the program instruction is an extension instruction, the extension instruction is distributed to the extension processing unit; the instruction can be quickly processed for different application fields, and the instruction processing efficiency is improved.

Systems and methods for connecting a conference room to an ongoing meeting session are described. In an illustrative, non-limiting embodiment, a video bar of a conference room may include a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the video bar to: transmit a first signal advertising the availability of the conference room; receive a second signal from a client Information Handling System (IHS), wherein the second signal comprises an identification of an ongoing meeting session; and join the ongoing meeting session using the received identification.

The invention relates to the technical field of immersion liquid cooling data center cooling, and particularly provides a single-phase immersion liquid cooling server circulation cooling method and system, and the method comprises the steps: comparing the real-time temperature of a cooling liquid with a preset temperature threshold value, transmitting a first program instruction by a control system, and carrying out an immersion liquid cooling cabinet internal circulation mode; or a second program instruction is sent, and a heat exchange circulation mode is carried out; after the heat exchange circulation mode is started, a main liquid outlet pipeline is opened; the cooling liquid flows back to the liquid outlet of the immersed liquid cooling cabinet through the backflow branch pipeline, the real-time temperature of the cooling liquid and the preset temperature threshold value are continuously judged, and switching between the internal circulation mode and the heat exchange circulation mode of the immersed liquid cooling cabinet is achieved according to the comparison result. The system comprises an immersed liquid cooling cabinet, a branch pipeline valve, a main pipeline valve, a main liquid outlet pipeline, a pump, a heat exchanger and a branch pipeline. According to the invention, the topology reconstruction capability of the cooling liquid flow is realized, and local circulation and global circulation are dynamically switched according to the thermal load.

Systems and methods for mutual trust establishment among components of an Information Handling System (IHS) are described. In an illustrative, non-limiting embodiment, an IHS may include: at least one processor; and at least one memory coupled to the processor, wherein the at least one memory comprises program instructions stored thereon that, upon execution by the at least one processor, cause the at least one processor to: obtain a plurality of identifiers for a respective plurality of CPLDs or FPGAs, including an identifier for a first CPLD or FPGA; and provide to a second CPLD or FPGA an expected handshake token for the first CPLD or FPGA, wherein the expected handshake token is based, at least in part, on the identifier for the first CPLD or FPGA, and wherein the second CPLD or FPGA uses the expected handshake token to establish trust for communication with the first CPLD or FPGA.

A set of program instructions causes a computer to perform acquiring target image data indicating a target image including an object of an inspection target, inputting the target image data into an image generation model to generate first reproduction image data, generating first difference image data indicating a difference between the target image and a first reproduction image by using the target image data and the first reproduction image data, inputting the first difference image data into a feature extraction model to generate first feature data indicating a feature of the first difference image data, the feature extraction model being a machine learning model including an encoder configured to extract a feature of image data that is input, and detecting a difference between the object of the inspection target and an object of a comparison target by using the first feature data.

Embodiments relate generally to systems and VTOL aerial vehicles. An example central server system comprises: at least one central server system processor; and central server system memory storing central server system program instructions accessible by the at least one central server system processor, and configured to cause the at least one central server system processor to: receive vehicle registration data associated with a manned VTOL aerial vehicle; and determine that the vehicle registration data is associated with a manned VTOL aerial vehicle that is authorized to communicate with the central server system. Some embodiments include VTOL aerial vehicles in communication or communicable with a central server system.

The invention discloses a method, a device and equipment for quickly checking a false device and a medium, relates to the technical field of circuit boards, and is used for solving the problem of relatively low checking efficiency of the false device in the prior art. The method comprises the following steps: starting Allegro software; receiving a false device checking instruction input by a user in a command box of the Allegro software; wherein the false device checking instruction is a skill program instruction written by a user; and according to the false device inspection instruction, performing false device rapid inspection on a target PCB. Therefore, as the false devices of the target PCB can be quickly checked directly according to the false device checking instruction input by the user in the Allegro software, compared with a traditional manual one-by-one checking method, the false device checking method is simple to operate, high in efficiency and free of omission.

Systems and methods for diagnosing accidents in Information Handling Systems (IHSs) are described. In some embodiments, an IHS may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause an Operating System (OS) to: in response an accident, collect fan data and, based at least in part upon a comparison between collected fan data and stored fan data, perform an accident remediation or mitigation operation.

An offline reinforcement learning-based foresighted decision-making apparatus and method for interaction between multiple agents. The offline reinforcement learning-based foresighted decision-making apparatus comprises a processor; and a memory connected to the processor, wherein the memory comprises program instructions for performing steps comprising collecting a raw data set about environment surrounding the multiple agents, processing the raw data set into a first data set containing at least one of state information, observation information, and action information in reinforcement learning, generating an episodic future data set from the first data set based on some of the state information, observation information, and action information, generating an episodic future data prediction model using the episodic future data set, and learning an optimal policy for decision-making for each of the multiple agents through offline reinforcement learning using the generated episodic future data prediction model or the episodic future data set.

Systems and methods perform predictive analytics using analytical tool(s) on an aggregation of user action history data. A cluster model classifies action(s) previously entered into by a user, including scoring the action(s) previously entered into by the user. A predicted action score predicted to be currently applied to at least one of the action(s) previously entered into by the user is programmatically generated. Predicted user reaction(s) of the user resulting from providing, via a digital platform, the user with recommended user action(s) are programmatically simulated, the simulating identifying a preferred recommended user action capable of being at least partially performed by the user across a network via the digital platform. Program instructions determine that the user is accessing, via a user interface of a user device, the digital platform to perform user action(s), and display, via the user interface, the preferred recommended user action.

Systems and methods for assessing display health in response to accidents are described. In some embodiments, an Information Handling System (IHS) may include an Embedded Controller (EC) and a memory coupled to the EC, where the memory comprises program instructions that, upon execution by the EC, cause the IHS to initiate an integrated display's Built-In-Self-Test (BIST) in response to a determination that the IHS suffered an accident.

Systems and methods for hierarchical workspace orchestration are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include: a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: determine, by a local management agent configured to instantiate a primary workspace, that an operation involving a subordinate workspace instantiated by a peripheral device coupled to the IHS comprises sensitive data; and determine whether to process the sensitive data prior to execution of the operation.

A computer system that performs quality control (QC) on images associated with diffusion and structural magnetic resonance imaging (MRI) is described. This computer may include: a computation device that executes program instructions; and memory that stores the program instructions. During operation, the computer system may automatically perform a set of validation operations, where, when one or more of the validation operations fails, the images are rejected. Moreover, the set of validation operations may include: performing QC on brain-tissue segmentation; performing QC on diffusion MRI processing; and performing QC on bundles determined from the images using a tractometry technique.

A data analysis apparatus and a method thereof are provided. The data analysis apparatus includes a memory that stores a neural network model and a program instruction and a processor that executes the program instruction. The processor inputs at least one of a first dataset, a second dataset, or any combination thereof to the neural network model, in response to identifying the second dataset obtained during a first specified duration before a time point when the first dataset is obtained. The processor obtains a governing equation corresponding to a portion of a plurality of neurons included in the neural network model. The processor changes the portion of the plurality of neurons included in the neural network model to the governing equation. The processor obtains a third dataset for predicting data during a second specified duration after the time point, from the neural network model.