474 results about "Remote computing" patented technology

Methods and systems are provided for improving remote computing experiences. The methods leverage modified PC or console architectures, which enable both local and remote console connections. The systems operate with multiple devices through a peer-to-peer connection. In the context of gaming, the systems are engineered to address obstacles such as low upstream rates and limited bandwidth or quality of service. An AI trained on play style is used as a substitute for a low bandwidth client. Also, methods are provided for inviting remote players, transferring control to a remote user, managing controller connections, and addressing low bandwidth situations using adaptive bitrate. The enhancement of connection, single encoding, and transmission processes contributes to a superior computing and / or gaming experience for all players, irrespective of their bandwidth or quality of service. Related networks, models, apparatuses, devices, techniques, articles, architectures, packets, manifests, tables, data storages, and graphical user interfaces are provided.

A remote signal-based method and system of performing an authentication of video of a person in order to authorize access to a secured resource. The system and method are configured to cause a visual and / or audio pattern to be displayed in a remote computing device while collecting image data from the same device. The image data is evaluated to determine whether the appropriate response from the person is present. If the response is present, the system determines the image is authentic and can verify an identity of the person, and can further be configured to automatically grant the person access to one or more services, features, or information for which he or she is authorized.

A drive unit adapted for use in farm equipment includes a first transceiver and a processing module. The processing module is configured to receive first data from the farm equipment, including sensor data and / or controller data, and integrate the received first data with additional second data indicating an agricultural prescription for a geographic region to form agricultural data. The processing module is also configured to apply one or more spatial filter constraints and temporal filter constraints to the agricultural data and then compute, from the filtered agricultural data, a difference between actual execution of one or more parameters of the agricultural prescription and expected execution of the one or more parameters. The processing module is further configured to, when the difference exceeds a predefined stored threshold, autonomously generate and transmit to a remote computing device, a settings alert to thereby trigger generation of an updated agricultural prescription.

Turntable control systems are disclosed. A playback device can include an analog audio source component such as a turntable. The playback device is configured to cause playback of first audio based on analog audio signals generated by the analog audio source component. Based on an indication that analog audio signals are no longer being generated, the playback device requests, via a network interface, audio content from one or more remote computing devices. The request can include identifying related content based on the first audio. The playback device receives, via the network interface, second audio content from, and causes playback of second audio based on the second audio content.

A method of operating a device that interacts with a physical environment includes determining to take an action on the physical environment wherein the action is based on an output of a computing task, generating a risk level that estimates a risk of physical harm associated with taking the action within the physical environment, obtaining a performance indicator of a communication network between the device and a remote computing device, and determining, based on the risk level and the performance indicator, whether to offload the computing task to the remote computing device or to perform the computing task locally. Related devices are also disclosed.

Described herein are techniques and mechanisms for geographic routing. A database system may store data records corresponding with user accounts and including historical routing information characterizing geographic routes determined in association with the user accounts. A communication interface may receive a request from a remote computing device authenticated to a user account and identifying an initial geographic location and a terminal geographic location. A geographic routing engine may determine a route including turn-by-turn instructions for moving from the initial geographic location to the terminal geographic location. A generative language model interface may complete a navigation prompt to include novel text identifying supplemental route information. A user interface generation interface may transmit an instruction to the remote computing device to present a user interface that includes the turn-by-turn instructions and some or all of the supplemental route information.

The present invention relates to a bearing ball inspection system configured for automated non-destructive testing of spherical components. In an exemplary embodiment, a bearing ball is delivered to an inspection point by a rail guide and supported by a positioning wheel configured to rotate the bearing ball during imaging. Cameras capture images of different surface regions under controlled illumination provided by ultraviolet or white-light sources. A control system comprising a microprocessor and memory executes a machine learning model to analyze the images and detect surface defects without requiring manual interpretation. Based on the analysis, a sorting mechanism directs the bearing ball to a pass or fail location. The system further includes communication interfaces configured to transmit inspection results to a remote computing device and receive control instructions. This integrated architecture enhances inspection reliability, improves throughput, reduces inspection variability, and supports centralized management of inspection systems across distributed production sites.

A measurement system including: a. a sensor system that includes: i. a Light Detection And Ranging (LiDAR) module with a laser emitter configured to generate measurement data representing raw range measurements to measure heights of a crop, and ii. a computing module, including: at least one wireline / wired communications module configured to communicate with the LiDAR module for the computing module to acquire the measurement data from the LiDAR module; and at least one wireless communications module configured for the computing module to communicate using a wireless connection / link with a remote computing system that is configured receive the acquired measurement data and to determine / calculate / estimate phenotypic quantities of the crop based on the measured heights for the purpose of high-throughput plant phenotyping (HTPP); and b. a mobile / vehicle mount configured to hold / support the sensor system above the crop and to direct the laser emitter towards the crop.

A smart parking recommendation system for energy conservation in a vehicle includes a smart parking recommendation application (SPRA) that determines that enabling conditions have been met and obtains from sensors and actuators of the vehicle, information about the vehicle and the vehicle's environment. The SPRA monitors information from the sensors and actuators and obtained from remote computing resources, a vehicle operator's current vehicle usage and determines a typical parking duration for a current parking location, and categorizes the current parking location. The SPRA utilizes an artificial intelligence (AI) or machine learning (ML) model to suggest a parking spot within the parking location that satisfies user and energy consumption passenger compartment thermal quality preferences. The SPRA selectively parks or guides the vehicle to be parked within a parking spot that satisfies the constraints and preferences, and minimizes energy consumption for maintaining passenger compartment and battery thermal qualities.

Systems, methods, and devices relate to a smart sensor usable for monitoring materials within container systems. A smart sensor device may include a base portion provided on an exterior of a tank containing a material, and an internal cavity housing a sensor to detect a level of the material within the tank through an outer surface of the container. The smart sensor device may track readings over time, from one or more container systems, and identify various usage trends. Usage trends and safety alerts may include current supply levels, historical usage rates, and low-level alerts. Such alerts and notifications may be communicated to a dashboard on a remote computing device.

Systems and methods for using machine-learning techniques to provide risk assessment based on multiple sources of data are described herein. Data about an entity can be received, and the data can be authenticated. Integrated risk data about the entity can be received. The integrated risk data can include traditional risk assessment data and nontraditional risk assessment data. An integrated risk assessment value can be determined based on the integrated risk data by aligning a first output from a first risk assessment model and a second output by a second risk assessment model. A responsive message including at least the integrated risk assessment value and associated information for the entity can be transmitted to a remote computing device for use in controlling access of the entity to one or more interactive computing environments.

A system includes a sensor at a first location proximate a polluting system to collect environmental data of a first type and an energy consumption monitoring platform at the first location to generate energy consumption data associated with the polluting system. The system includes a controller coupled to the sensor and the monitoring platform to direct communication of environmental data and energy consumption data to a remote computing server. A direct air capture (DAC) system at a second location removes a selected pollutant from ambient air and isolates a concentrated form of the pollutant as a raw material. A derivative product creation (DPC) system at a third location produces a derivative product from the raw material. The remote computing system accumulates pollutant credits based on removal of the selected pollutant by the DAC system and dissipates pollutant credits based on some of the energy consumption data.

A system for criteria evaluation can include a memory device, a data processing platform with an evaluation engine, and a human interface device. The system can include a processor coupled to the memory device and connected to a remote computing device and to the data processing platform. The processor can be configured to receive an execution request and input data, to convert the input data into a first data format to generate a first data file, as well as to cause the evaluation engine to process the first data file by converting a plurality of subsets of data items into a corresponding plurality of sets of parameter values, to generate a set of scores and a message for the scores, to generate a file having a representation of the scores, and corresponding messages, to present the converted file on a user-interface device.

A remote haptic signal-based method and system of performing an authentication of video of a person in order to authorize access to a secured resource. The system and method are configured to cause a remote computing device to generate a vibration while collecting sensor data from the same device. The sensor data is evaluated to determine whether the appropriate motion response from the remote computing device is present. If the response is present, the system determines the image is authentic and can verify an identity of the person, and can further be configured to automatically grant the person access to one or more services, features, or information for which he or she is authorized.

The implementations herein are generally directed to modular and distributed wireless monitoring and control systems for building automation networks (BAS / BMS). The disclosed systems address limitations of existing systems by utilizing a wireless network of nodes within a building to monitor parameters and control equipment. The system employs a long-range wireless area network (LoRaWAN) for communication, enabling low-power, long-range data transmission. Devices not natively configured for LoRaWAN can be integrated using smart adapters that translate between LoRaWAN and the devices' native protocols. The systems may be configured communicate with remote computing systems for data analysis, control logic updates, and integration with external data sources such as weather information.

A system for managing a guardrail data structure is provided. The system includes one or more processors; and one or more transitory or non-transitory computer-readable media storing instructions that are executable to cause the one or more processors to perform operations, the operations comprising: receiving, from a first user of a plurality of users of a guardrail data structure, interaction data associated with chat data; processing, by a large language model (LLM), the interaction data to determine an update to at least one cluster membership of at least one content cluster of a plurality of content clusters; transmitting the update of the at least one cluster membership to a remote computing device; and instructing the remote computing device to update the guardrail data structure based on the update to the at least one cluster membership.

The invention discloses a remote fire alarm control system, and relates to the technical field of fire fighting equipment, the remote fire alarm control system comprises an environmental data acquisition unit, an infrared video acquisition unit, a high-definition video acquisition unit, an edge computing unit, a remote computing terminal and a smart cloud platform, through setting the edge computing unit, the computing amount of the remote computing terminal is effectively reduced, and the security of the remote computing terminal is improved. Therefore, the calculation amount of the remote calculation terminal is greatly reduced, the fire identification efficiency is improved, and the response time is shortened. A flame recognition model and a multi-modal data fusion algorithm model are integrated on a remote computing terminal, the false alarm rate is effectively reduced, meanwhile, a high-definition video collection unit is arranged to collect high-definition video images of a target area, on-site videos can be visually displayed, workers can make decisions conveniently, and the problem that when an existing fire alarm system is used, the fire alarm system is not convenient to carry is solved. The problems of high false alarm rate, response lag and lack of on-site visual video display are solved.

System and methods are disclosed relating to cloud edge based anomaly detection. In an example, an edge monitoring node can include a thermal camera to capture a thermal image of equipment that is under monitoring for an an anomaly event. The node further includes a machine learning (ML) model to process the thermal image of the equipment to detect the anomaly event. The node further includes a network interface to communicate the detected anomaly event over a network to a remote computing platform to determine one or more recommendations for proactive maintenance of the equipment.

A system, method and memory for managing remotely stored data is disclosed. The system is configured to provide an agent within a remote computing environment (RCE) with access to data stored on the RCE and custom applications. In some examples, the agent has access to one or more tools including aspects of a machine learning tool. Another agent on a local computing environment capable of communicating with the agent is provided. The other agent has access to configuration files. The other agent instructs the agent to execute custom applications based on the configuration files. The other agent receives metadata of the data in response to triggering the agent. The instructions cause the processor to populate, via the other agent, a catalogue of the plurality of data within the remote computing environment based on the received plurality of metadata, and provide the catalogue for display for reviewing the plurality of data.

The present disclosure describes a server computing device configured for receiving from a remote computing device via an application, in response to a low-risk access request to a data resource, a programming call with a URL comprising an second identification data item encrypted from a first identification data item acquired by the remote computing device, obtaining a first context information item associated with the programming call, inputting the first context information item into a machine learning model to generate a second context information item, extracting the second identification data item from the URL, generating a third identification data item by decrypting the second identification data item, retrieving a prestored property data item associated with the third identification data item, and transmitting requested data to the remote computing device if comparing the second context information with the prestored property data item produces a match.

In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for maintaining components of a unit are provided. In some embodiments, a method comprises: receiving an indication that a unit is ready to be turned; generating a customized user interface for assessment of the unit based on a template; receiving a request, from a remote computing device, for the user interface; causing the remote device to present the user interface; receiving, via the remote device, input indicating that a component should be replaced; receiving, from the remote device, an image of the component; receiving, from a second remote computing device associated with a designated user, input indicating that replacement of the first component is approved; and causing a notification to be presented via the remote computing device indicating that replacement of the first component is approved.

Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for processing avatar content that can be used in a virtual environment. The disclosed technology can generate optimized semantic segments based on assets comprising meshes and textures associated with avatars. Further, the disclosed technology can generate hierarchical skeletons, deformable mesh models, and facial expressions on facial regions of the mesh models. Further, the compatibility of avatars with a virtual environment can be determined and compatible avatars and granular assets associated with avatars can be sent to remote computing systems that are configured to implement the avatars.

A system includes a processing circuit configured to receive data from a sensor of a vehicle. The data includes one or more operational characteristics including at least one of a first operational characteristic indicating that a concrete mixture is being dispensed via a chute of the vehicle or a second operational characteristic indicating that the concrete mixture has stopped being dispensed via the chute. The processing circuit is also configured to receive a first time stamp responsive to receiving the first operational characteristic. The processing circuit is also configured to provide the first time stamp to at least one of a user device or a remote computing system.

Various implementations include processing, at a client device, an instance of audio data capturing a user voice query using an automatic speech recognition model to generate a sequence of instances of tokenizable query text. In many implementations, one or more instances of the sequence can be transmitted to a remote computing system prior to generating the entire sequence. In a variety of implementations, each instance in the sequence can be processed using a generative model which includes a streaming multi-head attention portion. Responsive output can be transmitted from the remote computing system to the client device, where the client device renders the responsive output to the user. In many implementations, the time between the user speaking the user query and the client device rendering the responsive output is reduced, thus decreasing latency in the system.

Embodiments include a computing system, computing device, non-transitory computer readable medium, and computer-implemented method for automating artificial intelligence (AI) prompting and incident summarization. Embodiments provide for automatically generating AI prompts based at least in part on incident information, transmitting the AI prompts to a remote computing system on which a large language model (LLM) is implemented, and providing an AI summary of an incident.

A computing device may establish a call with a remote computing device, and may converse with the remote computing device in the call. The computing device may determine one or more candidate replies based at least in part on contextual information associated with the call. The computing device may receive an indication of a user input to select a candidate reply from the one or more candidate replies, and in response to receiving the indication of the user input to select a candidate reply, may send a reply in the conversation corresponding to the candidate reply.

A golf course geofence system includes a remote computing device. The remote computing device is configured to receive a request from a portable device to generate a geofence at a current location of the portable device on a golf course, acquire position data regarding a position of the portable device, and generate the geofence at the current location in response to the request and based on the position data. The request includes at least one of (a) a first request to generate a predefined shape geofence or (b) a second request to generate a freeform geofence.

Techniques for determining information about an event by one or more devices proximate to a roadway are described herein. For example, a device (e.g., a smart road stud) may include an integrated proximity sensor which can detect a static vehicle or a static object on the road. The device may process the sensor data to determine an event type and an event location for events. In some examples, the device can identify other devices in a vicinity of the event (e.g., other smart road studs located on the road), and select devices for performing actions, such as re-routing traffic. In some examples, the device can send sensor data and / or other types of data to other devices, such as an adjacent smart road stud, an edge device, and / or a remote computing device.

A computing system can automatically generate artificial intelligence (AI) prompts based on incident information, transmit the AI prompts to a remote computing system implementing a large language model (LLM) and receive an AI summary of an incident.

The present disclosure provides systems and methods for predictive analytics. For example, a system provided herein includes a data retriever implemented on a first unit configured to communicate over a data network with a second unit, a database coupled to the first unit and configured to store deal data, and a forecast toolkit implemented on a second unit configured to communicate over the data network with a remote computing device. The forecast toolkit may include a future deal manager configured to identify, within enhanced deal information, future open deals; a machine learning engine; a forecast manager configured to union the future open deals with an initial forecast to produce a second initial forecast, the initial forecast constructed by applying the machine learning engine to historical deal information; and a table builder configured to construct a predicted revenue output based on the second initial forecast.