Abstract: A spatial join query method and apparatus, an electronic device, and a storage medium. The spatial join query method comprises: obtaining a first resilient distributed dataset of first spatial data and a second resilient distributed dataset of second spatial data; generating multi-tree spatial indexes for spatial partitions, and collecting statistics about spatial distribution information of geometric objects according to the multi-tree spatial indexes to obtain global spatial distribution information; determining an overlapping spatial partition according to the global spatial distribution information; and setting data, in the first spatial data and the second spatial data, corresponding to the overlapping spatial partition as target data, and performing spatial join calculation on the target data.

Abstract: Improving machine learning models in an artificial intelligence infrastructure includes: storing, within one or more storage systems of an artificial intelligence infrastructure, information describing a dataset and one or more transformations applied to the dataset resulting in a transformed dataset; and storing, within the one or more storage systems, information describing only portions of previous versions of a machine learning model that differ from a current version of the machine learning model, wherein the previous versions used the transformed dataset as input during one or more prior executions by the artificial intelligence infrastructure.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating personal responses through retrieval-augmented generation. In particular, the disclosed systems can generate a query embedding from a query generated by an entity and determine data context specific to the entity by comparing the query embedding with a plurality of vectorized segments of content items associated with the entity. The disclosed systems can provide the data context to a large language model and generate a personalized response informed by the data context. Subsequently, the disclosed systems can provide the personalized response for display on a client device associated with the entity.

Abstract: A wearable device for a noninvasive measurement of a user's body temperature can include a housing, a first substrate coupled to the housing and having an opening, a second substrate coupled to the first substrate and configured to secure to skin of a user, a mounting frame enclosed by the housing and the first substrate, a circuit board secured by the mounting frame, a temperature sensor coupled to the circuit board and configured to determine a body temperature of the user, and a thermally conductive probe. The thermally conductive probe is secured by the mounting frame and positioned proximate to the first temperature sensor. The thermally conductive probe extends at least partially through the opening in the first substrate and transmits a thermal energy from a portion of the user's skin to the first temperature sensor.

Abstract: Training adversarial aircraft controllers is provided. The method comprises inputting current observed states of a number of aircraft into a world model encoder, wherein each current state represents a state of a different aircraft, and wherein each current state comprises a missing parameter value. A number of adversarial control actions for the aircraft are input into the world model encoder concurrently with the current observed state, wherein the adversarial control actions are generated by competing neural network controllers. The world model encoder generates a learned observation from the current observed states and adversarial control actions, wherein the learned observation represents the missing parameter value from the current observed states. The learned observation and current observed states are input into the competing neural network controllers, wherein each current observed state is fed into a respective controller.

Abstract: One embodiment of a system comprises a client device and a remote content management system. The client device comprises a synchronization manager that maintains a remote virtual model that models a synchronization state of a remote peer resource at the content management system and a local virtual model that models a synchronization state of a local peer resource in the local file system. The synchronization manager determines that the remote peer resource and local peer resource are out of sync based on a comparison of the remote virtual model and the local virtual model and synchronizes changes from the local cache to the content management system to update the remote peer resource or synchronizes changes from the content management system to update the local peer resource.

Abstract: The invention relates to a method (400) performed by an anesthetizing monitoring unit (110) configured to generating an improved evoked electromyography response signal (?Response), the method comprising transmitting (515) a stimuli signal (SStimuli) using an output port (112) of the anesthetizing monitoring unit (110), receiving (525) an evoked electromyography, EMG, response signal (SResponse), having a duration (TResponse), in response to the transmitted stimuli signal (SStimuli) using an input port (111) of the anesthetizing monitoring unit (110), estimating (535) a periodic noise waveform (SPeriodic), having the duration (TResponse), by using temporal segments of a noise signal (SNoise), generating (545) the improved response signal (?Response) by subtracting the noise waveform from the response signal (SResponse). The invention further relates to an anesthetizing monitoring unit (110) and an anesthetizing monitoring system (100).

Abstract: Systems and methods are described that employ machine learning models to optimize database management. Machine learning models may be utilized to decide whether a new database record needs to be created (e.g., to avoid duplicates) and to decide what record to create. For example, candidate database records potentially matching a received database record may be identified in a local database, and a respective probability of each candidate database record matching the received record is output by a match machine learning model. A list of statistical scores is generated based on the respective probabilities and is input to an in-database machine learning model to calculate the probability that the received database record already exists in the local database.

Abstract: The present invention relates to an apparatus (10) apparatus for the detection of carbon dioxide. It is described to place (210) a part of a housing in contact with a skin area of a patient. the part of the housing and a gas measuring chamber within the housing are configured such that gases diffusing through the skin area of the patient enter the gas measuring chamber. radiation is emitted (220) from a radiation source within the housing, wherein at least some of the radiation emitted by the radiation source enters the gas measuring chamber. The radiation entering the gas measuring chamber has wavelengths that extend over an absorption band of carbon dioxide and has wavelengths that extend over a region other than the absorption band of carbon dioxide. A radiation filter is positioned (230) relative to the gas measuring chamber such that an interaction radiation path is defined between the radiation source through the gas measuring chamber to the radiation filter.

Abstract: The techniques described herein relate to computerized methods and apparatus for insulin dosing guidance and decision support for diabetic patients. The techniques can recommend one or more exercises to a diabetic patient. The techniques can recommend adjustments to a diabetes treatment plan based on a diabetic patients planned exercise. The techniques can provide recommendations to a diabetic patient while exercising. The techniques can customize a computerized exercise planning tool that is used to develop an exercise plan for a diabetic patient based on user preference data of the diabetic patient, data indicative of a treatment aspect of the diabetic patient, data indicative of a physiological aspect of the patient, or some combination thereof.

Abstract: Blood glucose states based at least on sensed brain activity data. Blood glucose states may be predicted states using prediction models, and may be real-time or future glucose states. One or more wearable sensors, optionally adapted for use in either single channel or dual channel sensing, can record brain activity signals and communicate brain activity signal data to a remote device.

Abstract: Passively monitoring a user's breathing with a device can include identifying breathing modes of the user's breathing and responsive to detecting a trigger mode based on the identifying, generating an instruction adapted to the trigger mode. The instruction can be conveyed to the user via the device. The monitoring can include determining phases of the user's breathing with the device. Determining the phases can include receiving acoustic signals generated by an acoustic sensor in response to a user's breathing and generating acoustic data comprising features extracted from the acoustic signals. Phases of the user's breathing can be determined by classifying the acoustic data using a machine learning model trained based on signal processing of motion signals generated by a motion sensor in response to human breathing motions. Though trained using signal processing of motion signals, the machine learning model is trained to classify acoustic data.

Abstract: The disclosure discusses an AODSA tool that assists a user in submitting data responding to an online data posting. An embodiment of the invention is described as a job application utility. The user registers with a central data management system. This may be achieved by uploading a resume and/or manually providing registration data. Alternately, the registration data may be derived from parsing an uploaded resume that is analyzed and stored. In another embodiment, a user may simply answer a series of registration questions to register, while also creating a resume. Once the identifying information is finalized, the user is able to search the broad range of job listings. The user is able to forward identifying information to respond to a job listing by forwarding an uploaded/system created resume to an email address in the job listing or conduct an auto-fill of a linked online job application form.

Abstract: A method for classifying records by relevance to nodes of a hierarchical structure representative of a classification scheme for different classification options. The method includes receiving an input record having a plurality of record content features, and a contextual attribute indicative of a context of the receipt of the input record, retrieving relational data indicative of one or more nodes of the hierarchical structure that are associated with the contextual at-tribute of the received input record, and determining a relevance score for one or more of the nodes of the hierarchical structure to classify the input record. The relevance score of each node is determined in dependence on a comparison of the plurality of record content features of the input record relative to the classification option represented by said node, and further wherein the relevance score of each node depends on the retrieved relational data.

Abstract: The present disclosure relates to methods, systems, and apparatuses for identifying related records in a database. The method includes receiving, via a network interface, a related records query, the related records query identifying at least one record stored in the electronic database, determining, based on transaction data, at least one related record that is related to the identified at least one record, determining, by a processor, that the at least one related record is unavailable, in response to determining that the at least one related record is unavailable, determining at least one keyword associated with the at least one related record, selecting at least one of one or more substitute records based at least in part on comparing the at least one keyword with a set of keywords associated with one or more substitute records, and providing the selected one or more substitute records as a response to the related records query.

Abstract: Set analysis may be used to determine the best data analysis model(s) (e.g., data charts, data tables, data graphs, data maps, graphical objects, key performance indicators (KPIs), etc.) for representing the results of an undetermined query (e.g., an imprecise query, an undefined query, an incomplete query, a partially expressed query, a portioned query, etc.).

Abstract: In an implementation, a request for one or more attachments stored in an application document store is received from a requestor and by an application agent associated with an application. For each attachment identified in the request, the application agent: 1) requests the attachment from a data privacy integration (DPI) kernel service; 2) receives a download link to an attachment in the application document store; 3) downloads, using the download link, the attachment from the application document store; 4) informs the DPI kernel service that a download of the attachment is complete; and 5) receives a message from the DPI kernel service that the download link has been deactivated. The application agent returns the one or more attachments to the requestor.

Abstract: An intention decoding apparatus and a decoding method that quickly and precisely analyze brain waves for decoding an intention decision without requiring an advance brain wave measurement for, for example, a calibration step, and an intention conveyance assist apparatus, an intention conveyance assist system, and a program using a decoding result of the intention decision in the brain. The intention decoding apparatus that analyzes brain waves to decode an intention performs a process to examine a dispersion by classifying brain wave data of event-related potentials corresponding to a plurality of stimulus events into any one stimulus event and the other stimulus events among the plurality of stimulus events, on all the stimulus events, and identifies a classification where the dispersion becomes maximum to identify the one stimulus event in the classification as the intention. The intention conveyance assist apparatus includes a presentation unit that presents a decoding result.

Abstract: A method for free flow fever screening is presented. The method includes capturing a plurality of frames from thermal data streams and visual data streams related to a same scene to define thermal data frames and visual data frames, detecting and tracking a plurality of individuals moving in a free-flow setting within the visual data frames, and generating a tracking identification for each individual of the plurality of individuals present in a field-of-view of the one or more cameras across several frames of the plurality of frames. The method further includes fusing the thermal data frames and the visual data frames, measuring, by a fever-screener, a temperature of each individual of the plurality of individuals within and across the plurality of frames derived from the thermal data streams and the visual data streams, and generating a notification when a temperature of an individual exceeds a predetermined threshold temperature.

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, by an assistant xbot associated with the one or more computing systems, a user request for a content digest, retrieving one or more content objects corresponding to the user request, generating one or more slides for the one or more retrieved content objects, respectively, and providing, by the assistant xbot, instructions for presenting the content digest responsive to the request from the first user, wherein the content digest comprises the one or more slides, and wherein one or more of the slides of the content digest are removed from the content digest after a predetermined time period.