Abstract: Indexing a data corpus to a set of multidimensional points, including: generating a set of points in a multidimensional space; identifying, for each sample in a plurality of samples in a data corpus, a nearest point in the set of points; and generating an index mapping each sample with the nearest point in the set of points.

Abstract: An approach for reducing edge computing resources associated with autonomous vehicle infrastructure is disclosed. The approach utilizes digital twin computing to create a digital copy of the autonomous vehicle and edge computing demand. The approach can simulate the entire journey of the autonomous vehicle(s) on a travel path to determine the edge computing resources requirements. And based on the generated data set, the approach provides recommendations of proactive vehicle maintenance plan to improve edge computing capability of the vehicle based on the selected route. Other recommendation can include identifying whether road maintenance is to be performed for optimum usage of edge computing capability.

Abstract: Techniques are provided herein for forming multi-tier memory structures with graded characteristics across different tiers. A given memory structure includes memory cells, with a given memory cell having an access device and a storage device. The access device may include, for example, a thin film transistor (TFT) structure, and the storage device may include a capacitor. Certain geometric or material parameters of the memory structures can be altered in a graded fashion across any number of tiers to compensate for process effects that occur when fabricating a given tier, which also affect any lower tiers. This may be done to more closely match the performance of the memory arrays across each of the tiers.

Abstract: Presenting content history to a user added to a group chat may include: receiving a request from a user to join an existing group chat session, wherein the requesting user is associated with user data describing the requesting user’s persona; performing an analysis of content of the group chat session prior to the requesting user joining the group chat session; and adding the requesting user to the group chat session, including: generating a modified version of the content of the group chat session based on the content analysis and the user data; and presenting the modified version of the content of the group chat session to the requesting user.

Abstract: Techniques are provided for making asymmetric contacts to improve the performance of thin film transistors (TFT) structures. The asymmetry may be with respect to the area of contact interface with the semiconductor region and/or the depth to which the contacts extend into the semiconductor region. According to some embodiments, the TFT structures are used in memory structures arranged in a two-dimensional array within one or more interconnect layers and stacked in a vertical direction such that multiple tiers of memory structure arrays are formed within the interconnect region. Any of the given TFT structures may include asymmetric contacts, such as two contacts that each have a different contact area to a semiconductor region, and/or that extend to different depths within the semiconductor region. The degree of asymmetry may be tuned during fabrication to modulate certain transistor parameters such as, for example, leakage, capacitance, gate control, channel length, or contact resistance.

Abstract: The present disclosure relates to hydrocarbon emission control systems. More specifically, the present disclosure relates to substrates coated with hydrocarbon adsorptive coating compositions and evaporative emission control systems for controlling evaporative emissions of hydrocarbons from motor vehicle engines and fuel systems. The hydrocarbon adsorptive coating compositions include particulate carbon having a BET surface area of at least about 1300 m2/g, and at least one of (i) a butane affinity of greater than 60% at 5% butane; (ii) a butane affinity of greater than 35% at 0.5% butane; (iii) a micropore volume greater than about 0.2 ml/g and a mesopore volume greater than about 0.5 ml/g.

Abstract: A vehicle, electric machine, and stator include stator teeth extending from a yoke portion toward a rotor and defining slots between adjacent teeth with windings positioned within the slots, wherein the teeth form pockets at connections to the yoke portion. Electrically insulating slot paper may line at least three sides of the slots. The pockets may extend into the teeth or the yoke portion where the teeth extend from the yoke portion, and may be filled with an electrically insulating compound that secures the insulating slot paper lining and electrically conductive rectangular windings within the slots.

Abstract: Machine-learning based multi-step engagement strategy modification is described. Rather than rely heavily on human involvement to manage content delivery over the course of a campaign, the described learning-based engagement system modifies a multi-step engagement strategy, originally created by an engagement-system user, by leveraging machine-learning models. In particular, these leveraged machine-learning models are trained using data describing user interactions with delivered content as those interactions occur over the course of the campaign. Initially, the learning-based engagement system obtains a multi-step engagement strategy created by an engagement-system user. As the multi-step engagement strategy is deployed, the learning-based engagement system randomly adjusts aspects of the sequence of deliveries for some users.

Abstract: Various embodiments are disclosed for a machine learning system for automatic genotype selection and performance evaluation using multi-source and spatiotemporal remote sensing data collected from an unmanned aerial system (UAS). A computing device may be configured to access images of a field having a first genotype and a second genotype of at least one crop or plant planted therein. The computing device may apply an image processing routine to the images to analyze the images of the field and determine characteristics of the first genotype and the second genotype of the at least one crop or plant planted in the field. The computing device may then apply a machine learning routine to forecast a first estimated yield of the first genotype and a second estimated yield of the second genotype using the identified characteristics of the first genotype and the second genotype.

Abstract: Methods and systems that use of a multi-tiered machine learning architecture that aggregates traits of blockchain and off-chain operations. The multi-tiered machine learning architecture then uses this data to generate recommendations related to account identities for communications (e.g., blockchain operations) that occur across decentralized applications.

Abstract: A user equipment (UE) communicating with a first base station via a first radio bearer and a second bases station via a second radio bearer is disclosed. Uplink data transmissions using the radio bearers may be controlled by a threshold. During a positioning session to locate the UE, the UE may modify the threshold to cause the UE to use both the first radio bearer and the second radio bearer. The UE may return the threshold to an original value after the positioning session.

Abstract: A boarding pass can be employed as a financial instrument to make payments and other financial transactions. A passenger name record, a standardized computer reservation system protocol, can be associated with one or more financial accounts. When a point of sale device scans the boarding pass, either on a mobile device, or a traditional paper boarding pass, the passenger name record can be used to find a travel itinerary associated with the customer. By matching the travel itinerary to the location of the point of sale device, and the time, payments can be authorized and then initiated using financial account information associated with the passenger name record. Likewise, a mismatch can provide a basis for denying authorization and subsequent payment.

Abstract: During a positioning session, a wake up signal (WUS) configuration for a user equipment (UE) operating in a discontinuous reception (DRX) mode may be adapted to avoid dormant secondary serving cells (SCells) for positioning. The location server, for example, may configure positioning assistance data and scheduling of uplink sounding reference signals (SRS) to exclude SCells that are included in a dormancy list for the UE. The location server, alternatively, may provide to a serving base station supporting a primary serving cell (PCell) for the UE an indication of the SCells to be used for positioning. The SCells may be removed from the dormancy list during the positioning session or may be brought out of dormancy for all or selected monitoring occasions during the positioning session.

Abstract: An example apparatus comprises service manager circuitry to provide a service option to a user of a virtualized computing component, the service option including a first option to request inventory data and a second option to deploy a data collector agent, obtain a request corresponding to the second option, the request including two or more locations to deploy the data collector agent, and deploy the data collector agent at the two or more locations, and network connectivity selector circuitry to obtain a second request corresponding to the second option, determine connectivity factors for the data collector agent, and determine to collect inventory data from the data collector agent based on the connectivity factors.

Abstract: A method and system for training a virtual agent through fallback analysis is provided herein. The method comprises obtaining a plurality of fallback utterances. The method further comprises classifying the plurality of fallback utterances into one or more of existing intent categories, via a Machine Learning (ML) model. The method further comprises upon unsuccessful classification of one or more utterances of the plurality of fallback utterances, clustering the one or more utterances into one or more groups based on similarities among the one or more utterances, via the ML model. Further, the method comprises generating labels for the one or more groups to determine names of new intent categories associated with the one or more utterances.

Abstract: The systems and methods provide assistance in employee interactions. The systems and methods automatically schedule meetings between a manager and a report in response to changes in human resource data. The systems and methods track the meetings between the manager and the report during a time period and obtain meeting minutes for the meetings. The systems and methods analyze the meeting minutes and automatically generate feedback based on the analysis of the meeting minutes. The feedback is provided to the report or the manager.

Abstract: A method and system for generating conversation flows is provided herein. The method and system comprise storing conversations between at least an agent and at least a user in logs. Further, the method and system comprise extracting topics from the logs. Also, the method and system comprise creating clusters from the extracted topics. The method and system further comprise generating the conversation flows from the clusters.

Abstract: A method of wireless communication performed by a user equipment (UE) includes: operating in a dual SIM dual active (DSDA) mode with respect to a first subscriber identity module (SIM) and a second SIM; controlling transmit operations of the first SIM and the second SIM according to a time division multiplexed (TDM) priority pattern; performing demodulation reference signal (DMRS) bundling on the first SIM, the first SIM having a higher priority state according to the TDM priority pattern; and deferring a priority switch to give the higher priority state to the second SIM until after the first SIM has completed a repetition of DMRS bundling.

Abstract: A method and system for generating a response through a virtual agent is provided herein. The method comprises receiving information associated with a plurality of themes and topics. The method further comprises creating a knowledgebase based on the information received. The method further comprises analyzing the knowledgebase based on an intent identified, using an Artificial Intelligence (AI) model. Further, the method comprises generating a response corresponding to the intent through the virtual agent based on analyzation.

Abstract: A vehicle computing system may implement techniques to determine an action for a vehicle to perform based on a cost associated therewith. The cost may be based on a detected object (e.g., another vehicle, bicyclist, pedestrian, etc.) operating in the environment and/or a possible object associated with an occluded region (e.g., a blocked area in which an object may be located). The vehicle computing system may determine two or more actions the vehicle could take with respect to the detected object and/or the occluded region and may generate a simulation associated with each action. The vehicle computing system may run the simulation associated with each action to determine a safety cost, a progress cost, a comfort cost, an operational rules cost, and/or an occlusion cost associated with each action. The vehicle computing system may select the action for the vehicle to perform based on an optimal cost being associated therewith.