Abstract: A method for managing network traffic is shown. The method includes establishing a virtual tunnel between a source endpoint and a destination endpoint, the virtual tunnel including a plurality of data flow paths, each of the plurality of data flow streams connecting the source endpoint and the destination endpoint. The method includes providing, via the destination endpoint, a plurality of credits to the source endpoint, the plurality of credits provided via two or more of the plurality of data flow paths. The method includes updating, at the source endpoint, a data transmission sequence based on the received plurality of credits. The method includes providing a plurality of data packets based on the data transmission sequence to the destination endpoint.

Abstract: A computer based system and method for automatically transmitting an electronic notice to a publisher of negative content, that includes: monitoring at least one electronic social media channel to identify content that is relevant to an entity; analyzing the identified content to identify content with negative sentiment, and an identity of the publisher of the content with the negative sentiment; and initiating an automated interaction with the publisher. Initiating the interaction may include posting an automatic reply to a message in the electronic social media channel that includes the content with the negative sentiment and/or initiating an automatic phone call.

Abstract: A method of invoking public and private interactions during a multiuser communication session includes presenting a multiuser communication session; detecting a user invocation input that corresponds to a trigger to a digital assistant; detecting a user search input that corresponds to a request for information; obtaining the information based on the request; presenting the information; in accordance with a determination that at least one of the user invocation input and the user search input satisfy first input criteria associated with a first request type: transmitting the information to other electronic devices for presentation to other users; and in accordance with a determination that at least one of the user invocation input and the user search input satisfy second input criteria associated with a second request type: forgoing transmitting the information to the other electronic devices for presentation to other users.

Abstract: Techniques are disclosed for explaining and visualizing an output of a machine learning system that detects cardiac arrhythmia in a patient. In one example, a computing device receives cardiac electrogram data sensed by a medical device. The computing device applies a machine learning model, trained using cardiac electrogram data for a plurality of patients, to the received cardiac electrogram data to determine, based on the machine learning model, that an episode of arrhythmia has occurred in the patient and a level of confidence in the determination that the episode of arrhythmia has occurred in the patient. In response to determining that the level of confidence is greater than a predetermined threshold, the computing device displays, to a user, a portion of the cardiac electrogram data, an indication that the episode of arrhythmia has occurred, and an indication of the level of confidence that the episode of arrhythmia has occurred.

Abstract: A display device includes a display substrate and a backplane substrate. The display substrate includes an array of micro-LEDs forming individual pixels. The backplane substrate includes a plurality of pixel logic hardware modules. Each pixel logic hardware module includes a local memory element configured to store a multi-bit pixel intensity value of a corresponding micro-LED for an image frame. The backplane substrate is bonded to a backside of the display substrate such that the pixel logic hardware modules are physically aligned behind the array of micro-LEDs and each pixel logic hardware module is electrically connected to a micro-LED of the corresponding pixel.

Abstract: Apparatuses, systems, and techniques for reliable image data capture are disclosed herein. A system includes a sensor configured to receive light reflected off one or more objects in an environment. The sensor includes a first set of sensor pixels configured to detect a portion of the received light having wavelengths in the visible light spectrum. The sensor further includes a second set of sensor pixels configured to detect an additional portion of the received light having wavelengths in an infrared spectrum. The system further includes a filter component configured to reduce an intensity of the portion of the received light detected by the first set of sensor pixels while maintaining at least a minimum intensity of the additional portion of the received light detected by the second set of sensor pixels.

Abstract: In various examples, systems and methods are disclosed herein for a vehicle command operation system that may use technology across multiple modalities to cause vehicular operations to be performed in response to determining a focal point based on a gaze of an occupant. The system may utilize sensors to receive first data indicative of an eye gaze of an occupant of the vehicle. The system may utilize sensors to receive second data indicative of other data from the occupant. The system may then calculate a gaze vector based on the data indicative of the eye gaze of the occupant. The system may determine a focal point based on the gaze vector. In response to determining the focal point, the system causes an operation to be performed in the vehicle based on the second data.

Abstract: A method, a device, and a non-transitory storage medium are described in which a radio access network slice and core network slice service is provided based on RAN-CN network slice pairing information. A radio access network slice and/or a core network slice uses the RAN-CN network slice pairing information to select network resources to support sessions of end devices. The RAN-CN network slice pairing information may include location information, radio access network slice information, core network slice information correlated to different types or applications or services available to end devices. The RAN-CN network slice pairing information may include information indicating current and available radio access network resources pertaining to the radio access network slices and threshold resources that may be used to support the different types of applications or services.

Abstract: In various examples, the present disclosure relates to using temporal filters for automated real-time classification. The technology described herein improves the performance of a multiclass classifier that may be used to classify a temporal sequence of input signals—such as input signals representative of video frames. A performance improvement may be achieved, at least in part, by applying a temporal filter to an output of the multiclass classifier. For example, the temporal filter may leverage classifications associated with preceding input signals to improve the final classification given to a subsequent signal. In some embodiments, the temporal filter may also use data from a confusion matrix to correct for the probable occurrence of certain types of classification errors. The temporal filter may be a linear filter, a nonlinear filter, an adaptive filter, and/or a statistical filter.

Abstract: Techniques are disclosed for using both feature delineation and machine learning to detect cardiac arrhythmia. A computing device receives cardiac electrogram data of a patient sensed by a medical device. The computing device obtains, via feature-based delineation of the cardiac electrogram data, a first classification of arrhythmia in the patient. The computing device applies a machine learning model to the received cardiac electrogram data to obtain a second classification of arrhythmia in the patient. As one example, the computing device uses the first and second classifications to determine whether an episode of arrhythmia has occurred in the patient. As another example, the computing device uses the second classification to verify the first classification of arrhythmia in the patient. The computing device outputs a report indicating that the episode of arrhythmia has occurred and one or more cardiac features that coincide with the episode of arrhythmia.

Abstract: In various examples, a state machine is used to select between a default seam placement or dynamic seam placement that avoids salient regions, and to enable and disable dynamic seam placement based on speed of ego-motion, direction of ego-motion, proximity to salient objects, active viewport, driver gaze, and/or other factors. Images representing overlapping views of an environment may be aligned to create an aligned composite image or surface (e.g., a panorama, a 360° image, bowl shaped surface) with overlapping regions of image data, and a default or dynamic seam placement may be selected based on driving scenario (e.g., driving direction, speed, proximity to nearby objects). As such, seams may be positioned in the overlapping regions of image data, and the image data may be blended at the seams to create a stitched image or surface (e.g., a stitched panorama, stitched 360° image, stitched textured surface).

Abstract: In various examples, dynamic seam placement is used to position seams in regions of overlapping image data to avoid crossing salient objects or regions. Objects may be detected from image frames representing overlapping views of an environment surrounding an ego-object such as a vehicle. The images may be aligned to create an aligned composite image or surface (e.g., a panorama, a 360° image, bowl shaped surface) with regions of overlapping image data, and a representation of the detected objects and/or salient regions (e.g., a saliency mask) may be generated and projected onto the aligned composite image or surface. Seams may be positioned in the overlapping regions to avoid or minimize crossing salient pixels represented in the projected masks, and the image data may be blended at the seams to create a stitched image or surface (e.g., a stitched panorama, stitched 360° image, stitched textured surface).

Abstract: Embodiments of the present invention relate to synchronously replicating data in a distributed computing environment. To achieve synchronous replication both an eventual consistency approach and a strong consistency approach are contemplated. Received data may be written to a log of a primary data store for eventual committal. The data may then be annotated with a record, such as a unique identifier, which facilitates the replay of the data at a secondary data store. Upon receiving an acknowledgment that the secondary data store has written the data to a log, the primary data store may commit the data and communicate an acknowledgment of success back to the client. In a strong consistency approach, the primary data store may wait to send an acknowledgement of success to the client until it receives an acknowledgment that the secondary has not only written, but also committed, the data.

Abstract: In various examples, sensor data may be captured by sensors of an ego-object, such as a vehicle traveling in a physical environment, and a representation of the sensor data may be streamed from the ego-object to a remote location to facilitate various remote experiences, such as streaming to a remote viewer (e.g., a friend or relative), streaming to a remote or fleet operator, streaming to a mobile app configured to self-park or summon an ego-object, rendering a 3D augmented reality (AR) or virtual reality (VR) representation of the physical environment, and/or others. In some embodiments, the stream includes one or more command channels used to control data collection, rendering, stream content, or even vehicle maneuvers, such as during an emergency, self-park, or summon scenario.

Abstract: A method is provided for bonding substrates having dissimilar coefficients of thermal expansion, using a thermoset adhesive. The method involves a pre-cure step using radio-frequency energy, followed by a heat-curing step.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a recommended target audience based on determining a predicted attendance utilizing a neural network approach. For example, the disclosed systems can utilize an approximate nearest neighbor algorithm to identify individuals that are within a similarity threshold of invitees for an event. In addition, the disclosed systems can implement an attendance prediction model to determine a probability of an invitee attending the event. The disclosed systems can further determine a predicted attendance for an event based on the individual probabilities. Based on identifying the similar individuals to, and the attendance probabilities for, the invitees, the disclosed systems can generate a recommended target audience to satisfy a target attendance for an event based on a predicted attendance for the event.

Abstract: Techniques that include applying machine learning models to episode data, including a cardiac electrogram, stored by a medical device are disclosed. In some examples, based on the application of one or more machine learning models to the episode data, processing circuitry derives, for each of a plurality of arrhythmia type classifications, class activation data indicating varying likelihoods of the classification over a period of time associated with the episode. The processing circuitry may display a graph of the varying likelihoods of the arrhythmia type classifications over the period of time. In some examples, processing circuitry may use arrhythmia type likelihoods and depolarization likelihoods to identify depolarizations, e.g., QRS complexes, during the episode.

Abstract: Methods and systems for providing financial management and reconciliation within the dental project management system are provided. The method includes the dental project management system receiving an invoice associated with a particular dental product project. The method also includes an artificial intelligence (AI) validation module of the dental product management system automatically validating the invoice. Also, the method includes that upon validation of the invoice, the dental product management system requesting feedback from a doctor at a dental office. Further, the method includes the dental product management system receiving feedback from the doctor. Moreover, the method includes training the AI validation module based on the feedback from the doctor.

Abstract: Methods and systems for integrated design workflow within a dental product management system. This includes a design connect platform receiving a dental product order, creating a dental product case based on the dental product order, and assigning the dental product case to a design service based on a restoration type provided in the dental product order. The design connect platform provides access to the dental product case via a designer portal graphical user interface (GUI) of the design connect platform. The designer portal GUI provides a workspace for creating a dental product design. Also, the designer portal GUI sends the dental product design to a milling center for fabricating a dental product.

Abstract: Methods and apparatus for electroplating a substrate incorporate aspects of digital lithography and feedback from electroplating processes to improve characteristics of plating material based on die patterns. In some embodiments, a method of electroplating a substrate may include receiving a die design, forming a first lithographic pattern for a first substrate based on the die design, using a digital lithography process to pattern the first substrate with the first lithographic pattern, using an electroplating process to deposit material on the first substrate, using a metrology process to determine at least one parameter of the deposited material on the first substrate, and forming a second lithographic pattern from the first lithographic pattern for a second substrate based, at least in part, on the at least one parameter received directly from the metrology process on the first substrate by the digital lithographic process for the second substrate.