Abstract: Techniques for adjusting outlier datasets for training chatbot systems in natural language processing are disclosed. In one particular aspect, a method is provided that includes receiving a dataset that includes training or inference data. An initial set of outlier data points can be identified within the dataset based on a score of the outlier data points being above or below a threshold. The initial set can be adjusted by identifying one or more nearest neighbors, which can be included in the dataset. Outlier data points that include a label that matches a number of labels of the nearest neighbors that exceeds a predetermined threshold can be removed from the initial set of outlier data points to generate a final set. Outlier data points of the final set can be adjusted with respect to the dataset to generate a set of training data that is used to train a machine-learning model.

Abstract: The disclosure provides an apparatus, system and method for a flexible heater suitable for embedding in a wearable. The flexible heater comprises a conformable substrate; a matched function ink set, printed onto at least one substantially planar face of the substrate to form at least a conductive layer capable of receiving current flow from at least one power source; a resistive layer electrically associated with the at least one conductive layer and comprising a plurality of heating elements capable of generating heat upon receipt of the current flow; and a dielectric layer capable of at least partially insulating the at least one resistive layer, wherein the matched ink set is matched to preclude detrimental interactions between the printed inks of each of the at least one conductive, resistive and dielectric layers, and to preclude detrimental interactions with the conformable substrate.

Abstract: The present disclosure relates to RSV F protein mutants, nucleic acids or vectors encoding a RSV F protein mutant, compositions comprising a RSV F protein mutant or nucleic acid, and uses of the RSV F protein mutants, nucleic acids or vectors, and compositions.

Abstract: Deep learning techniques are disclosed for extraction of embedded data from documents. In an exemplary technique, a set of unstructured text data is received. One or more text groupings are generated by processing the set of unstructured text data. One or more text grouping embeddings are generated in a format for input to a machine learning model based on the one or more generated text groupings. One or more output predictions are generated by inputting the one or more text grouping embeddings into the machine learning model. Each output prediction of the one or more output predictions correspond to a predicted aspect of a text grouping of the one or more text groupings.

Abstract: The disclosure relates to insecticidal toxin resistance management and screening of novel insecticidal toxins. One embodiment relates to the isolation, characterization, compositions, and methods of use relating to polynucleotides encoding novel insecticidal toxin receptors and the polypeptides encoded thereby. The polynucleotides and polypeptides are useful in identifying or designing novel insecticidal toxin receptor ligands including novel insecticidal toxins.

Abstract: Techniques are provided for using context tags in named-entity recognition (NER) models. In one particular aspect, a method is provided that includes receiving an utterance, generating embeddings for words of the utterance, generating a regular expression and gazetteer feature vector for the utterance, generating a context tag distribution feature vector for the utterance, concatenating or interpolating the embeddings with the regular expression and gazetteer feature vector and the context tag distribution feature vector to generate a set of feature vectors, generating an encoded form of the utterance based on the set of feature vectors, generating log-probabilities based on the encoded form of the utterance, and identifying one or more constraints for the utterance.

Abstract: According to an aspect, an inflatable implant includes a fluid reservoir configured to hold fluid; an inflatable member; and a pump assembly configured to transfer fluid from the fluid reservoir to the inflatable member, the pump assembly including a pump bulb, the pump bulb having an outer surface, the pump bulb having a horizontal projection disposed on the outer surface and a vertical projection disposed on the outer surface.

Abstract: Techniques for natural language processing include accessing an input string comprising a natural language utterance and a database schema representation for a database; providing the natural language utterance to a first encoder to generate one or more embeddings of the natural language utterance; providing the database schema representation to the first encoder to generate one or more embeddings of the database schema representation; encoding, by a second encoder, relations between elements in the database schema representation and words in the natural language utterance based on the one or more embeddings of the natural language utterance and the one or more embeddings of the database schema representation; and generating a logical form for the natural language utterance based on the encoded relations, the one or more embeddings of the natural language utterance, and the one or more embeddings of the database schema representation.

Abstract: Techniques are disclosed herein for resolving date/time expressions while transforming natural language to a logical form such as a meaning representation language. A class label for a token in a natural language utterance and a meaning representation for the natural language utterance can be predicted. The class label can be associated with a date/time expression. The meaning representation can include an operator and a value. When the value associated with the class label matches a predetermined value type or the operator matches a predetermined operator, the value and/or the operator can be modified, and an executable statement can be generated for the meaning representation. A query on a computing system can be executed using the executable statement.

Abstract: The disclosure provides at least an apparatus, system and method for providing a flexible planar inductive coil, such as may be embedded in a product. The apparatus, system and method may include at least one conformable substrate, and a matched function ink set, printed onto at least one substantially planar face of the at least one substrate. This printing may form at least one layer of additive conductive traces capable of receiving current flow from at least one source and layered into successive ones of the conductive traces about a center axis within a plane of the at least one conformable substrate.

Abstract: In one aspect of the present disclosure, a system and method are provided for pairing a network-enabled movable barrier operator with a transmitter. The method may include receiving a pairing request, retrieving a hashed version of the transmitter fixed code, verifying access authorization, and forwarding the hashed version of the transmitter fixed code to a movable barrier operator to allow the movable barrier operator to determine whether a new transmitter is authorized to control the movable barrier operator.

Abstract: The disclosure is and includes at least an apparatus, system and method for manufacturing piezoelectrics. The apparatus, system and method may include at least a first roller and an end roller; a continuous printable substrate roll extending at least from the first roller to the end roller as the first and end roller turn; at least one printer for printing piezoelectric material onto the continuous substrate roll to form a plurality of the piezoelectrics; and an electric field generator that polls the piezoelectric material as the continuous substrate roll is rolled from the first roller to the end roller. The polling electric field generator may comprise a corona field generator.

Abstract: Techniques are disclosed herein for focused training of language models and end-to-end hypertuning of the framework. In one aspect, a method is provided that includes obtaining a machine learning model pre-trained for language modeling, and post-training the machine learning model for various tasks to generate a focused machine learning model. The post-training includes: (i) training the machine learning model on an unlabeled set of training data pertaining to a task that the machine learning model was pre-trained for as part of the language modeling, and the unlabeled set of training data is obtained with respect to a target domain, a target task, or a target language, and (ii) training the machine learning model on a labeled set of training data that pertains to another task that is an auxiliary task related to a downstream task to be performed using the machine learning model or output from the machine learning model.

Abstract: A bacterium of the class Clostridia comprising a heterologous nucleic acid molecule encoding at least one antigen, wherein the bacterium is capable of expressing the antigen in an intracellular compartment of the bacterium during anaerobic cell growth, and wherein at least one antigen is an infectious agent antigen or a tumour antigen.

Abstract: A method for 3D object perception is described. The method includes extracting features from each image of a synthetic stereo pair of images. The method also includes generating a low-resolution disparity image based on the features extracted from each image of the synthetic stereo pair images. The method further includes predicting, by a trained neural network, a feature map based on the low-resolution disparity image and one of the synthetic stereo pair of images. The method also includes generating, by a perception prediction head, a perception prediction of a detected 3D object based on the feature map predicted by the trained neural network.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for identifying a variety of events that occur within a gaming session and generating event reports based on the identified events. For example, a gaming service (e.g., a cloud gaming server) can leverage content analysis and event recognizer services on a cloud computing system to detect one or more in-game events based on gaming content (e.g., video content, audio content, controller inputs) that is delivered to a client system. Systems described herein can train and implement event recognizers trained to track various in-game events across multiple gaming applications. Based on the tracked events, the systems described herein can generate event reports for events, individual users, and groups of users of the cloud computing system.

Abstract: A method for dynamic pairing between asset tracking devices, such as a chassis module and a chassis sensor module mounted on a chassis and a container module mounted on a container. The method includes detecting presence of the container using the chassis sensor module and in response, broadcasting a short-range polling signal; establishing a wireless connection with the container module in response to the short-range polling signal; obtaining GNSS data; determining an estimated distance between the chassis module and the container module; and transmitting the GNSS data and the estimated distance to a remote server.

Abstract: Techniques for improving a semantic parser of a dialog system, by breaking the semantic parser into a coarse semantic parser and a fine semantic parser, are described. A method described herein includes accessing an utterance received in a dialog system. The utterance is a text-based natural language expression. The method further includes applying a coarse semantic parser to the utterance to determine an intermediate logical form for the utterance. The intermediate logical form indicates one or more intents in the utterance. The method further includes applying a fine semantic parser to the intermediate logical form to determine a logical form for the utterance. The logical form is a syntactic expression of the utterance according to an established grammar, and the logical form includes one or more parameters of the one or more intents. The logical form can be used to conduct a dialog with a user of the dialog system.

Abstract: An emergency evacuation system includes a first floatation device, an inflator operably coupled to the first floatation device, and a second floatation device coupled to the first floatation device. The inflator is configured to inflate the first floatation device to deploy the emergency evacuation system outside of a compartment, such as proximate to a door of a vehicle.