417 results about "Program instruction" patented technology

In some aspects, a cloud-based computer system includes: a quantum computing system comprising a quantum processing unit; a container management and execution system configured to receive a container and execute a program within the container; and a communication channel between the container management and execution system and the quantum computing system for providing program instructions to the quantum computing system. The container management and execution system and the quantum computer system may be co-located in a data center or located in different data centers. The latency of the communication channel may be selected to optimize cost for a required computer performance.

Systems and methods for intelligent Human Interface Devices (HIDs) interactions. In some embodiments, an HID may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the HID to: process raw user input via an Artificial Intelligence (AI) model to produce processed user input; and transmit the processed user input to an Information Handling System (IHS) coupled to the HID.

Systems, methods, and software are disclosed herein for assessing the similarity of visual content with respect to other visual content. In an implementation, a computing apparatus executes program instructions which direct the computing apparatus to identify reference images that are similar to a target image and to identify segments of the reference images that are similar to a segment of the target image. The program instructions further direct the computing apparatus to generate a similarity profile of the target image based on similarity scores of the segments of the reference images with respect to the target image.

A system and method for continuously monitoring blood wherein the system comprises a sensor unit comprising an inline device fluidically connected a patient via a catheter; a fluidics line configured for passage of a flow of blood of the patient; and one or more sensors configured to measure a plurality of blood analytes from the flow of the blood; a computing unit comprising: a memory; and a processor comprising program instructions, wherein the program instructions, when executed, comprise: receiving blood analyte data corresponding to the plurality of blood analytes; integrating timestamps to the blood analyte data; determining one or more trends associated with the blood analyte data; comparing the one or more trends to predetermined thresholds; and determining a risk prediction of one or more medical complications based on whether the one or more trends meet a condition relative to the predetermined thresholds; and a display unit.

Systems and methods for handling Artificial Intelligence (AI) models for Human Interface Devices (HIDs). In some embodiments, an HID may include a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the HID to: receive an AI model selection from the user; and in response to the AI model selection, load a corresponding AI model configured to receive raw user input and to produce processed user input.

Systems and methods for migrating users and modifying workspace definitions of persona groups are described. In some embodiments, a memory storage device may have program instructions stored thereon that, upon execution by a workspace orchestration service, cause the service to: distribute a first workspace definition based upon a first persona group associated with a user to a client device operated by the user, where the user IHS is configured to instantiate a first workspace based upon the first workspace definition; and in response to a change in a productivity or security metric of the first workspace, determine whether to: (a) migrate the user to an existing second persona group, (b) create a third persona group and migrate the user to the third persona group, (c) modify the first persona group and migrate the user to the modified first persona group, or (d) identify a potential security threat.

Systems and methods for streamlined platform attestation 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 may have program instructions stored thereon that, upon execution, cause the IHS to: read root certificates for a plurality of components of the IHS; and embed the root certificates for the plurality of components into a platform certificate.

Systems and methods for providing a secure motherboard replacement are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions that, upon execution, cause the IHS to, when a replacement motherboard is booted for the first time, attach to a device that stores one or more BIOS entitlements associated with the IHS, configure a BIOS on the replacement motherboard with the BIOS entitlements, and complete booting of the IHS into a normal mode of operation.

A system generates domain-expert agents for a particular domain. The system generates a hierarchy of topics for the domain by forming structured query inputs and requesting a machine learning-based language model to produce topics and associated sets of search terms. A knowledge store is built for the domain by identifying, for each topic, facts represented symbolically and / or in natural language. For at least one topic, programs comprising instructions for executing domain-specific procedures are generated and stored as symbolic and / or natural language programs. The knowledge store is evaluated to determine an expertise level for a domain-expert agent. If the knowledge store meets a threshold of knowledge, a deployment package is created comprising the knowledge store, and the domain-expert agent is deployed. The deployed agent utilizes the knowledge store together with a machine learning language model to address and solve problems specific to the domain.

Systems and methods for intelligent Human Interface Devices (HIDs) for gaming. In some embodiments, an HID may include a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the processor to: process raw user input via a selected gaming Artificial Intelligence (AI) model to produce processed user input; and transmit the processed user input to an Information Handling System (IHS) coupled to the HID during a gaming session.

A system and method for trading of carbon credits is provided. The system comprises a server computing device comprising at least one hardware processor and memory; program instructions stored in the memory and executable in the server computing device that, when executed, direct the server computing device to: communicate with a plurality of vehicles over a communication network; receive distance information from a respective one of the vehicles detailing distance traveled by the respective one of the vehicles; generate a carbon credit based at least in part on the distance information received from the respective one of the vehicles; and associate the carbon credit with a user account associated with the respective one of the vehicles.

Systems and methods for intelligent Human Interface Devices (HIDs). In some embodiments, an HID may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the HID to: receive data from a sensor coupled to the processor; and transmit an indication of an input received by the processor to an Information Handling System (IHS) coupled to the HID in response to a determination, by the processor, that the data matches a biometric profile.

Systems, methods, and software are disclosed herein for designing and generating custom complex documents in various implementations. In an implementation, program instructions direct a computing apparatus to at least receive, in a user interface, a user request for a document. The program instructions further direct the computing apparatus to generate a design specification for the document based on the user input and retrieve a seed image based on the design specification. The program instructions further direct the computing apparatus to generate a text layer for the document based on the user request and to elicit, from an image generation model, a custom background image for the document based on the seed image and the design specification. The program instructions further direct the computing apparatus to generate the document based on the template and the custom background image.

The embodiment of the invention provides a method and equipment for dynamically adjusting a motion control mode based on an intraoperative visual field environment, a medium and a program product, and relates to the field of intelligent medical treatment. The method comprises the following steps: acquiring an intraoperative view image and a preset basic force threshold value according to the tissue type of a to-be-operated site; calculating an intraoperative tissue real-time deformation rate based on the intraoperative view image, and calculating a real-time force safety threshold according to a preset basic force threshold and the tissue real-time deformation rate; receiving real-time contact force of the instrument and the tissue, comparing the real-time contact force with a real-time force safety threshold value, and if the real-time contact force is smaller than or equal to the real-time force safety threshold value, outputting an instruction of damping force in direct proportion to the real-time contact force; if the real-time contact force is larger than the real-time force safety threshold value, an emergency braking program instruction is output. According to the method, factors, such as tissue deformation and illumination change, which cause instability of the surgical field of view in the surgical environment are introduced, so that the environmental adaptability and dynamic adjustment of the field of view mechanism in the robot-assisted surgical operation process are improved.

Systems and methods for artificial emotional intelligence using Human Interface Devices (HIDs). In some embodiments, an HID may include a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the processor to: identify a mood of a user based, at least in part, upon sensor data obtained from an HID; and modify an operation based, at least in part, upon the identification.

Systems and methods for artificial emotional intelligence for influencing Information Handling System (IHS) performance. 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 the processor to: identify a mood of a user based, at least in part, upon sensor data obtained from a Human Interface Device (HID); and modify a performance setting of an IHS based, at least in part, upon the identification.

Systems and methods for securely deploying a collective workspace across multiple local management agents are described. In some embodiments, 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, cause the IHS to: receive, at a workspace orchestration service from a first local management agent, first context information and a first split key; receive, at the workspace orchestration service from a second local management agent, second context information and a second split key; determining, by the workspace orchestration service, that the first and second context information match a collaborative workspace policy; in response to the determination, authenticate the first and second split keys; and in response to the authentication, transmit a collaborative workspace definition to the first and second local management agents.

Systems and methods for intelligent Human Interface Device (HID) operations. In some embodiments, a keyboard may include a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the processor to: process raw user input based, at least in part, upon a writing style Artificial Intelligence (AI) model, to produce processed user input; and transmit the processed user input to an Information Handling System (IHS) coupled to the keyboard.

Systems and methods for booting an alternate Operating System (OS) by Out-of-Band (OOB) processors in heterogeneous computing platforms. In some embodiments, a heterogeneous computing platform may include an OOB Microcontroller Unit (MCU) and a memory coupled to the OOB MCU, the memory having program instructions stored thereon that, upon execution by the OOB MCU, cause the OOB MCU to, in response to an OOB command, enable a host processor to load an alternate OS boot image, where the alternate OS boot image is stored in a storage device external to the heterogeneous computing platform.

Technology is disclosed herein for diagnosing root causes of operational anomalies on wireless networks in various implementations. In one example, program instructions direct a computing apparatus to detect an operational anomaly in a wireless network based on error code information and capture network operations data and contextual information relating to the operational anomaly. The program instructions further direct the computing apparatus to prompt an AI model to identify a root cause of the operational anomaly based on the error code information, the network operations data, and the contextual information and to receive output from the AI model including a root cause analysis of the operational anomaly.

A method of operating a medical monitoring system includes providing stored program instructions for a software application. The software application is configured to be stored in a non-transitory memory of a computing device. Upon execution by a processor of the computing device, the software application is configured to (i) obtain measurement data, (ii) store image data of a nonmedical image on the non-transitory memory, (iii) modify the image data based on the measurement data to generate modified image data, and (iv) render the modified image data as a modified image on a display screen of the computing device. Modifying the image data includes changing a feature of the nonmedical image to represent the measurement data.

A metrology system includes an illumination source generating illumination beams. Illumination optics direct the beams to a sample surface at non-zero incidence angles. Detectors collect light from the sample surface, with collection optics directing this light to the detectors. A controller with processors executes program instructions to receive metrology data from detectors based on collected light. The metrology data includes measurements at multiple tilt angles based on non-zero incidence. The processors determine a bottom critical dimension value at zero-degree incidence by extrapolating measurement data collected at the multiple tilt angles.

A system includes an edge device and a computing platform. The computing platform includes one or more processors and one or more non-transitory computer-readable media storing program instructions that cause the one or more processors to perform operations including fine-tuning, a plurality of advisor models to perform different types of advisor operations for an oil-and-gas facility using data relating to oil-and-gas equipment, sorting, a user query to a first advisor model by selecting, by at least one machine learning model, the first advisor model from the plurality of advisor models based on a content of the user query, generating, by the first advisor model, an actionable response to the user query, and causing the oil-and-gas facility to operate in accordance with the actionable response.

The invention discloses an ultrasonic welding pseudo soldering detection system and method, and relates to the technical field of ultrasonic welding detection, the system comprises a hardware assembly and a visual software module, the hardware assembly comprises an upper camera, a lens, an annular light source, a PLC lower computer and the like, and the visual software module configures program instructions such as initialization, image acquisition, feature detection and the like; according to the detection method, images are collected through the upper camera, detection of the expanded material size, the grid edge width, the grid area and the peripheral overflow area is completed in sequence, and pseudo soldering is automatically judged in combination with a visual algorithm. Non-destructive online full detection is achieved, the detection precision reaches + / -0.01 mm, the single-station detection rhythm is smaller than or equal to 1 second, the problems that traditional detection products are large in waste and high in misjudgment risk are solved, the method is suitable for new energy power battery copper-aluminum bar metal ultrasonic welding products, and the detection efficiency and the quality control level are improved.

A non-transitory computer-readable storage medium stores a thread color registration program including a set of program instructions for a thread color registration device including an image sensor, a display, and a processor. The set of program instructions, when executed by the processor, causes the thread color registration device to perform detecting a two-dimensional code by the image sensor; in a registration list storing a first color of a first thread spool, storing a second color of a second thread spool different from the first thread spool, the second color being indicated by the two-dimensional code, the registration list being stored in a memory; and displaying a list image on the display, the list image indicating registered colors that are a plurality of colors stored in the registration list, the registered colors including the first color and the second color.

An air supply system includes an air pump assembly to generate compressed air, a liquid circulation pipe to circulate a cooling liquid, a sensor, and a programmable control board. The air pump assembly includes an outer sealed box enclosing an inner sealed box, which further encloses air pump machinery. A first set of springs are disposed between the air pump machinery and the inner sealed box and a second set of springs are disposed between the outer sealed box and the inner sealed box. The liquid circulation pipe connects the air pump machinery to liquid cooling components outside the outer sealed box. The sensor is coupled to an output of the air pump assembly to measure a characteristic of the compressed air during operation. The programmable control board controls the speed of a motor in the air pump machinery according to program instructions and measurements of the sensor.

In one example, a non-transitory computer-readable storage medium stores executable program instructions that detect, at a remote device node, vulnerability data associated with an exploitable vulnerability of a target enterprise network; retrieve, by a first local device node, the vulnerability data, which may include a CVSS score, determine, by a second local device node, a vulnerability score VT by determining a first subscore VT1, where the first subscore VT1 is based on a Maximized Confidentiality Impact (MCI) metric that is a modified privacy metric to capture the privacy impact of the exploitable vulnerability, where the first subscore VT1 is also based on a Maximized Highest Impact (MHI) metric to capture reputation damage based on an outsized single impact attribute, and on a Modified Confidentiality (MC) metric, Modified Integrity (MI) metric and Modified Availability (MA) as provided by CVSS; and remediate the exploitable vulnerability based on the vulnerability score VT.

A method for generating a diabetes management parameter user interface, the method comprising providing stored program instructions of a first diabetes management application (DMA), the first DMA configured to be stored in a memory of an electronic device and, when executed by a processor, the first DMA configured to: generate a first output display of a plurality of diabetes management parameters corresponding to a time series of analyte data, the plurality of diabetes management parameters depicting trends in diabetes management parameter levels over time; generate a graphical indicator of a link to a second DMA stored in the memory; and activate the second DMA in response to an input selection of the link, wherein the second DMA is configured to be executed by the processor to generate a second output display of current time diabetes management parameters corresponding to the time series of analyte data stored in the memory.

Systems and methods for providing trusted local orchestration of workspaces are described. In some embodiments, an information handling system (IHS) can include: a processor; and a system memory coupled to the processor, the system memory having program instructions stored thereon that, when executed, cause the IHS to: receive, from a workspace orchestration service, orchestration code; use a trusted controller coupled to the processor to record a log, the log including: the orchestration code, and an indication of a sequence of operations performed by a local management agent during instantiation of a workspace; provide, to the workspace orchestration service, a copy of the log; and in response to the workspace orchestration service successfully: (i) authenticating the orchestration code, and (ii) verifying the sequence of operations, establish a connection between the workspace and the workspace orchestration service.

The invention discloses a GPU program soft error elasticity prediction method based on an error propagation knowledge graph. The method comprises the steps that static and dynamic information of a program is acquired; single-particle bit flipping fault injection is carried out at the register or memory level, and the occurrence rate of different types of error results after bit flipping occurs at each fault point of the program is obtained; preprocessing data obtained by fault injection, and encoding heuristic features; the method comprises the following steps: pre-training a Word2Vec model based on a program SASS assembly code, and mining semantic knowledge of an instruction to obtain a semantic embedding feature of the instruction; constructing an error propagation knowledge graph by combining the execution condition and the data dependency relationship between the program instructions; and fusing the two heterogeneous feature representations as input, and designing a GPU program soft error elasticity prediction model based on the graph convolutional network. According to the method, heterogeneous feature mining and error propagation relation modeling are carried out on the program, the soft error elasticity of the GPU program fault point can be identified more accurately, and the method has higher soft error prediction rate and lower space-time overhead.