Abstract: An apparatus for rapid data retrieval and heuristic processing of limited starting input information is disclosed. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive ability data as it relates to an entity's ability to execute specified remedial measures, receive emergent incident data which includes the details of the triggering incident, generate an incident remediation profile based on the emergent incident data, generate a remediation resolve profile based on the amalgamation of the entity and ability data and the incident remediation profile, then display the results for a user.

Abstract: A method and related system perform operations to obtain data points in a feature space for a set of input records, determine explainability parameters for the data points and a prediction model using an explainability model, and determine a score associated with a candidate data point of the data points based on a first set of values and a second set of values determined with the explainability parameters. Some embodiments may select the candidate data point based on a result indicating that the score satisfies a threshold and store, in a memory, an indication of a candidate record associated with the candidate data point.

Abstract: Adaptive cross-layer power, thermal, and performance management within augmented and/or virtual reality (AR/VR) display devices is described. AR/VR experiences use extensive system resources to provide high quality user experience (UX). Application performance modes (e.g., Application Resource Bundles “ARBs”) may be registered and for each mode, applications may request specific performance from the underlying hardware/firmware/software subsystems. As system state changes, a central service may periodically reconfigure power states of individual subsystems resulting in power, thermal, and performance tradeoffs. As the power states are reconfigured, the central service may change the application performance modes to allow applications to adapt their UX to the new system state allowing applications to build custom behaviors and provide enhanced UX over a variety of states.

Abstract: A computing system is provided, including one or more processing devices. The one or more processing devices are configured to receive quantum circuit parameters including a code parameter of an error correction code and a number of T gates included in a quantum circuit. The one or more processing devices are further configured to receive respective decoder parameters of each of a plurality of candidate decoders. The decoder parameters include a physical noise rate of a plurality of physical qubits at which the quantum circuit is configured to be executed and a stopping time of the candidate decoder. The one or more processing devices are further configured to compute respective spacetime costs of the candidate decoders based on the quantum circuit parameters and the decoder parameters. The one or more processing devices are further configured to output a selection of a lowest-spacetime-cost decoder for implementation at a quantum computing device.

Abstract: A computing device may determine a first set of applications that facilitate functions for a requested cloud account. A sequential execution order may be determined for a second set of applications to be executed after a respective set of dependencies for each application of the second set of applications and at least one application of the first set of applications have been executed. A parallel execution order may be determined for remaining applications of the first set of applications that are excluded from the sequential execution order. The first and second sets of applications may be executed according to the sequential and parallel execution orders and a notification may be sent to the user device that facilitates access to the cloud account based on an indication that the first and second sets of applications have been successfully executed.

Abstract: Systems and methods for deploying machine learning models trained on synthetic data generated based on a predicted future data drift are described herein. In some aspects, the system analyzes data profiles that include snapshots of data from different points in time from the same data stream to predict a future data drift. The system generates synthetic data based on the previous data profiles. The system determines, based on a first and second data profile, that a first data drift exceeds a threshold and updates a machine learning model. The system determines a predicted data drift and generates a synthetic snapshot of the data stream corresponding to a time in the future. The system generates a speculative machine learning model from updating the first updated machine learning model based on the synthetic snapshot. The system deploys the speculative machine learning model to replace the first updated machine learning model.

Abstract: Forecasting industrial asset failures is described. A system determines a data start value associated with an industrial asset at a data start time. The system determines a data end value associated with the industrial asset at a data end time. The system estimates a failure time when a trend projected from the data start value through the data end value will reach a failure limit value. The system determines a distance to failure based on the failure limit value and the data end value. The system outputs a failure forecast, associated with the failure time and the distance to failure, for the industrial asset.

Abstract: A method of mesh processing includes receiving coded information of a mesh, the coded information includes position connectivity of a plurality of 3D vertices of a mesh in a 3D space, and a correspondence of the plurality of 3D vertices to UV vertices in a UV space for the mesh. The method further includes generating a reconstructed mesh in the 3D space by the plurality of 3D vertices according to the position connectivity, and determining seam vertices from the plurality of 3D vertices. The method also includes performing a prediction of seam edges in the 3D space based on at least the seam vertices, at least an edge between two seam vertices is predicted to be a seam edge. The method can also include cutting the reconstructed mesh into patch components according to the seam edges and determining UV connectivity of the UV vertices according to the patch components.

Abstract: A method includes receiving, from a user, an embedded application view request requesting embedding of an application view within a host container. The application view is derived from a no-code application, and the no-code application is generated using a no-code application development environment. The embedded application view request includes a uniform resource locator (URL) referencing the no-code application and a data record of a dataset associated with the no-code application. The method includes obtaining credentials associated with the user and determining, using the credentials, that the user has access to the data record of the dataset. The method also includes, after determining that the user has access to the data record of the dataset, rendering, within the host container at an anchor location, an embedded application view based on the data record of the dataset.

Abstract: A method for authenticating the identity of a user who is attempting to access a website or conduct a transaction is described. The method involves receiving two geographical locations, and associated time stamps, of a mobile phone associated with the user, one of the locations being the location of the transaction or access attempt. The method determines whether the speed required to travel between the two geographical locations in the elapsed time is within acceptable limits. A confidence score, derived in part from this calculation, is taken into account when deciding whether to allow or deny the access or the transaction.

Abstract: A method includes dividing an image into a plurality of patches; generating for the patches image tokens each including a halting score associated with the image token; generating a contextual features token representative of at least one contextual feature in connection with the image; processing the image tokens and the contextual features token using a vision transformer block; performing adaptive halting on the image tokens output from the transformer block, the adaptive halting comprising updating the halting scores associated with the image tokens and discarding ones of the image tokens having halting scores greater than or equal to a predetermined threshold score, wherein the non-discarded image tokens comprise remaining image tokens; and forwarding the remaining image tokens to a next processing block.

Abstract: In certain embodiments, image-feature malicious-activity detection and access prevention may be facilitated, where an activity notification associated with a transaction triggers feature detection for at least one image related to a different transaction. In some embodiments, a first image (received in connection with a first transaction) may be associated with the first transaction, and a second image (received in connection with a second transaction) may be associated with a second transaction. In response to a malicious activity notification associated with the first transaction, an identifying characteristic (e.g., a facial feature) detected in the first image may be used to determine whether to prevent access to an account related to the second transaction. As an example, in response to determining that the identifying characteristic is present in the second image, access to the account related to the second transaction may be prevented.

Abstract: Systems and methods are described for generating code summaries using bifurcated model architectures. The bifurcated model architecture may comprise a first model that generates code summaries based on native code script, and the second model may compare, de-duplicate, and/or categorize the code summaries into clusters that perform the same or similar functions. That is, the systems and methods may comprise a first model (e.g., a large language model) to predict new content (e.g., a code summary for a given native script code). The outputs of the first model are then inputted into a natural language processing (NLP) model to compare the code summaries. For example, the first model of the bifurcated architecture performs a crucial pre-processing step that prevents the NLP model from generating cluster descriptions that are specific to semantic structures, programming languages, and/or code formatting.

Abstract: An apparatus for the generation of provider data is disclosed. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a location profile from a user, wherein the location profile comprises a plurality of incident data. The memory instructs the processor to classify the plurality of incident data into a plurality of incident categories. The memory instructs the processor to identify a plurality of provider data as a function of the classification. The memory instructs the processor to predict a pecuniary element as a function of the plurality of provider data and the classification. The memory instructs the processor to generate an incident report as a function of the pecuniary element and the plurality of provider data. The memory instructs the processor to display the incident report using a display device.

Abstract: A database system is operable to assign a first node as a task monitoring node for a task and assign a second node as a task execution node for the task. The task is executed via the first node and the second node based on the first node sending a plurality of polls to the second node, the second node initiating execution of the task based on one of the plurality of polls, the second node sending a plurality of task status data to the first node, the first node maintaining current task status data for the task a shared metadata state based on the plurality of task status data, the second node completing execution of the task and caching task results in memory resources, the first node receiving the task results from the second node; and the second node removing the task results from the memory resources.

Abstract: A station (STA) receives from an access point (AP) a frame indicating a start time and a wake duration of a restricted target wake time (r-TWT) service period (SP) of an r-TWT setup for the STA. The STA transitions to an awake state at or before the start time of the r-TWT SP. The STA receives, from the AP, during the r-TWT SP: a first frame comprising a traffic identifier (TID) associated with the r-TWT and having an end of service period (EOSP) field set to 0; or a trigger frame indicating an identifier of the STA. The STA transitions to a doze state, after expiration of the wake duration of the r-TWT SP, on condition of receiving, from the AP, after expiration of the wake duration of the r-TWT SP, a second frame comprising a TID associated with the r-TWT and having an EOSP field set to 1.

Abstract: A node of a database system is operable to execute a shuffle operator based on, during a first temporal period, reserving a first amount of memory, allocating, to each of a plurality of other nodes, a corresponding number of fixed-memory units based on the first amount of memory, and process first data received from the plurality of other nodes in accordance with the corresponding number of fixed-memory units allocated to the each of the plurality of other nodes. During a second temporal period after the first temporal period, the first amount of memory is updated to a second amount of memory based on comparing an available amount of memory with a configured memory threshold, an updated corresponding number of fixed-memory units is re-allocated, and second data received from the plurality of other nodes in accordance with the corresponding number of fixed-memory units is processed.

Abstract: The disclosed invention relates to mass spectrometry (MS) and related instruments (‘analyzer device’). More specifically, the disclosed description relates to an improved apparatus, herein termed a vacuum chamber assembly device configured to enable a multitude of functions to enhance ionization and analyte ion transfer through the application of a plurality of Ports. The Ports being designed to provide on a single analyzer device capabilities of atmospheric pressure ionization, inlet ionization, and vacuum ionization rapidly available in order to maximize information obtained from a sample in a timely manner. Ports may also have auxiliary functions which expand and improve the available ionization methods as well as provide functions not commonly available.

Abstract: A storage system is operable to transition from operation in accordance with a first storage scheme to operation in accordance with a second storage scheme by, for each storage device of the plurality of storage devices, expanding a storage size of a single storage structure of the corresponding plurality of data storage structures identified to implement the second storage scheme from an initial size to a final size consuming full storage resources of the each storage device based on writing all new data of a plurality of write requests to the single storage structure in accordance with the second storage scheme, performing at least one expansion of the single storage structure within the each storage device in response to an expansion condition being met, and completing transition based on the single storage structure reaching the final size consuming the full storage resources of the each storage device.

Abstract: An electrode can comprise a plurality of flexible longitudinal electroconductive protrusions which deform when pressed against a person's head. Proximal ends of the protrusions are adjacent to each other and have a first degree of curvature in a pre-deformation configuration. Proximal ends of the protrusions are apart from each other and have a second degree of curvature in a post-deformation configuration. The proximal-divergence of the ends of the protrusions enables them to slide between strands of hair to enable good electrical communication with the surface of the person's head.