Abstract: Techniques are provided for generating training data to facilitate fine-tuning embedding models. Training data including anchor utterances is obtained. Positive utterances and negative utterances are generated from the anchor utterances. Tuples including the anchor utterances, the positive utterances, and the negative utterances are formed. Embeddings for the tuples are generated and a pre-trained embedding model is fine-tuned based on the embeddings. The fine-tuned model can be deployed to a system.

Abstract: The present invention discloses a high-temperature stable ceramic coating structure including a microalloy comprising the elements Al, V and N producible by a gas phase deposition process.

Abstract: Apparatuses and systems are disclosed for improved reliability in securing a removable battery pack. An example latch mechanism may include a flexible latch disposed on an outer housing of a removable battery pack, the flexible latch defining an inner surface facing the outer housing and an opposing outer surface, wherein a portion of the opposing outer surface of the flexible latch defines one or more locking tabs that are engageable with one or more engaging slots operatively positioned within a receiving battery enclosure, and wherein the flexible latch is deformable from a first open configuration to a second compressed configuration upon insertion into the battery enclosure.

Abstract: According to one embodiment, a method, computer system, and computer program product for web conference recording correction is provided. The embodiment may include capturing a server-side recording of a web conference and a plurality of client-side recordings of the web conference. The embodiment may also include identifying one or more quality issues with the server-side recording. The embodiment may further include generating a reconstruction of the server-side recording that cures the one or more quality issues using one or more recordings within the plurality of client-side recordings.

Abstract: Techniques for data augmentation for training chatbot systems in natural language processing. In one particular aspect, a method is provided that includes generating a list of values to cover for an entity, selecting utterances from a set of data that have context for the entity, converting the utterances into templates, where each template of the templates comprises a slot that maps to the list of values for the entity, selecting a template from the templates, selecting a value from the list of values based on the mapping between the slot within the selected template and the list of values for the entity; and creating an artificial utterance based on the selected template and the selected value, where the creating the artificial utterance comprises inserting the selected value into the slot of the selected template that maps to the list of values for the entity.

Abstract: Aspects of the invention perform an operation comprising receiving a plurality of rules associated with a first seat in a mass-transit vehicle, determining a plurality of physical attributes for a first passenger, of a plurality of passengers, based on data describing the first passenger received from a plurality of data sources, determining a plurality of non-physical attributes for the first passenger based on the received data describing the first passenger, determining that at least one of the plurality of physical attributes and the plurality of non-physical attributes of the first passenger satisfy each rule in the set of rules associated with the first seat, computing, based on a machine learning (ML) model a score for the first passenger, determining that the score exceeds a threshold score associated with the first seat, and allocating the first passenger to the first seat in the mass-transit vehicle.

Abstract: An optical component for a broadband radiation source device, the optical component configured for generating a broadband output upon receiving pump radiation and including: a hollow-core photonic crystal fiber (HC-PCF); and a gas mixture filling the HC-PCF, wherein the gas mixture includes a mixture of at least one first gas configured for the generation of the broadband radiation and at least one second gas including or consisting of helium.

Abstract: A communication device mounted on a vehicle, e.g., On-Board Unit (OBU), communicates collision related information to other road entities, e.g., other vehicles or roadside units (RSUs) or a server, after a collision is detected. The OBU may temporarily store basic safety messages (BSMs) (and optionally sensor data) for a predesignated number of seconds before discarding the BSMs (and optionally sensor data) on a continuing basis. When a collision is detected, the OBU sends a report, e.g., to a server, with the stored BSMs (and optionally sensor data) to a server. After a collision detection, the OBU may send a request to other vehicles to upload relevant collision related information. Additionally, if a first vehicle detects the collision of a second vehicle, the first vehicle may communicate collision related information to other entities and a server.

Abstract: A method of vehicle-to-vehicle monitoring includes: receiving, at a monitor vehicle, a trigger to provide a report relating to a target vehicle, the trigger including identifying information of the target vehicle; obtaining, at the monitor vehicle, first information wirelessly that at least partially identifies the target vehicle; determining, at the monitor vehicle, that the first information corresponds to the identifying information of the target vehicle; and reporting, from the monitor vehicle based on receipt of the trigger and determining that the first information corresponds to the identifying information of the target vehicle, second information indicating presence of the target vehicle and a location associated with the target vehicle.

Abstract: Exemplary systems and methods are disclosed for allocating resources in a breeding pipeline to multiple origins. One exemplary method includes accessing a data structure including data representative of multiple origins, in which the data includes, for each of the multiple origins, a trait performance expression or genotypic component information. The exemplary method further includes determining a resource allocation, which allocates n resources among the multiple origins based on a probability associated with the trait performance expressions and/or the genotypic components for the origins, and then allocating the n resources in the breeding pipeline for the multiple origins, based on the determined resource allocation.

Abstract: An embodiment includes activating, responsive to receiving an update notification, an update mode of a mobile device, wherein the activating of the update mode includes disabling a primary communication interface and enabling a secondary communication interface, and wherein the update notification includes notification of a software update available for the mobile device. The embodiment also includes initiating execution of the software update on the mobile device while the mobile device remains in the update mode. The embodiment also includes deactivating, responsive to completing the software update, the update mode of the mobile device, wherein the deactivating of the update mode includes enabling the primary communication interface and disabling the secondary communication interface.

Abstract: Disclosed are techniques for programmatically mapping workloads for storage in different classes of a networked computer data storage environment, using a set of rules or data storage hints and properties of the workloads themselves. With the set of data storage hints, metadata sets are assigned to files of the incoming workloads to the networked computer data storage environment based on the properties of the workloads. Then, a target storage class is determined for each file of the workload from the plurality of storage classes present in the networked computer data storage environment. The workload files are then mapped to a logical bucket that is associated with the plurality of storage classes through a shared namespace, with the assigned metadata set for a file cueing the filesystem modules as to which storage class within the logical bucket to direct the various files of the workload to.

Abstract: A pier for a solar tracking system includes a bearing housing assembly, a frame, the frame defining an A-profile having a pair of legs and a crown at a center portion thereof, and a mounting bracket, the mounting bracket coupled to a portion of the crown of the frame at a first portion thereof and coupled to a portion of the bearing housing assembly at a second portion thereof.

Abstract: The invention relates to a method for manufacturing a solid-state battery (2) comprising the steps of preparing (100) a cathode (4), preparing (400) an anode (6), and preparing (200) a solid-state electrolyte (8) to be disposed between the cathode (4) and the anode (6), wherein the solid-state electrolyte (8) is prepared by means of a coating process, wherein the coating process comprises PVD coating.

Abstract: Method and apparatus for maintaining C-V2X timing (e.g., in platoon scenarios). The apparatus of a slave UE determines a thermal condition of the respective slave UE within a platoon of UEs. The apparatus performs synchronization with a first synchronization source, directly or indirectly, based on the thermal condition of the slave UE. Synchronization is performed directly with the first synchronization source in response to a determination that the thermal condition of the slave UE is below a threshold. Synchronization is performed indirectly with the first synchronization source through a master UE within the platoon of UEs in response to a determination that the thermal condition exceeds a threshold. The apparatus may receive, from a master UE within the platoon of UEs, SLSS to synchronize indirectly to the first synchronization source through the master UE.

Abstract: A method, computer system, and a computer program product for image protection are provided. A first device includes a computer and a first camera. The first device identifies a picture that has a hallmark. The first device transmits a message requesting authorization to have a copy of the picture. The message contains data representative of the hallmark. The first device receives a response message. The first device determines whether the response message authorizes capture of a copy of the picture.

Abstract: Exemplary methods for use in identifying crosses for use in plant breeding are disclosed. One exemplary method includes generating population prediction scores for each potential cross within a set of potential crosses, where each population prediction score is associated with a prediction of commercial success for the associated potential cross within the set of potential crosses. The method also includes selecting a subgroup of potential crosses, based on thresholds associated with the population prediction scores for the set of potential crosses. The exemplary method further includes selecting multiple target crosses from the subgroup of potential crosses based on a genetic relatedness of the parents in the subgroup of potential crosses, and directing ones of the selected target crosses into a breeding pipeline, thereby providing crosses to the breeding pipeline based, at least in part, on commercial success of parents included in the selected ones of the filtered crosses.

Abstract: Exemplary methods for identifying progenies for use in plant breeding are disclosed. One exemplary computer-implemented method includes accessing a data structure including data representative of a pool of progenies and determining a prediction score for at least a portion of the pool of progenies based on the data included in the data structure. The prediction score indicates a probability of selection of the progeny based on historical data. The method further includes selecting a group of progenies from the pool of progenies based on the prediction score, identifying a set of progenies, from the group of progenies, based on at least one of an expected performance of the group of progenies and at least one factor associated with the set of progenies, the pool of progenies and/or the group of progenies, and directing the set of progenies into a validation phase of a breeding pipeline.

Abstract: Exemplary systems for identifying hybrids for use in a plant breeding pipeline are disclosed. One exemplary system includes a computing device configured to access phenotypic data related to a pool of hybrids from a data structure and determine a prediction score for each of the hybrids in the pool of hybrids based on the accessed phenotypic data. The prediction score is indicative of a probability of selection and/or a probability of success of the hybrid based on historical data. The computing device is also configured to select a group of hybrids from the pool of hybrids based on the prediction score, identify a set of hybrids, from the selected group of hybrids, based on one or more factors associated with the hybrids, and then direct the set of hybrids to a validation phase of the plant breeding pipeline for planting and/or testing.

Abstract: Techniques are described for invoking and switching between chatbots of a chatbot system. In some embodiments, the chatbot system is capable of routing an utterance received while a user is already interacting with a first chatbot in the chatbot system. For instance, the chatbot system may identify a second chatbot based on determining that (i) such an utterance is an invalid input to the first chatbot or (ii) that the first chatbot is attempting to route the utterance to a destination associated with the first chatbot. Identifying the second chatbot can involve computing, using a predictive model, separate confidence scores for the first chatbot and the second chatbot, and then determining that a confidence score for the second chatbot satisfies one or more confidence score thresholds. The utterance is then routed to the second chatbot based on the identifying of the second chatbot.