Abstract: Streaming content using a data streaming device having limited power is described. A data streaming device receives streaming content from a network and provides the streaming content for display on a content display device. Data streaming device includes power supplies that receive power from the content display device. The power supplies use the power to operate components of data streaming device that process the streaming content. A measuring module measures the power provided to the data streaming device. When the power is insufficient, a controller generates an indication that there is insufficient power to operate the components of the data streaming device. The controller may also modify functionality of the components to operate using available power or disable a component of the data streaming device.

Abstract: The disclosed embodiments relate to an insulative protective packaging material constructed using recyclable paper materials. The packaging material includes one or more plies of paper adhered to each other. The one or more plies can have protrusions that form gas pockets. The gas pockets can be sealed by another ply to provide shock absorbency and insulation. Further, the plies can be used in multiple ways such as by nesting the protrusions of one ply into the recessed of another ply, layering multiple plies on top of each other, or individually. Each ply can be substantially flat or have protrusions. The protrusions can be made in various ways such as alternating the directions that they extend and varying the shapes of the protrusions. The resulting packaging material can be used as a shipping container or as liners within shipping containers.

Abstract: An intravascular catheter for peri-vascular and/or peri-urethral tissue ablation includes multiple needles advanced through supported guide tubes which expand with open ends around a central axis to engage the interior surface of the wall of the renal artery or other vessel of a human body allowing the injection an ablative fluid for ablating tissue, and/or nerve fibers in the outer layer or deep to the outer layer of the vessel, or in prostatic tissue. The system also includes means to limit and/or adjust the depth of penetration of the ablative fluid into and beyond the tissue of the vessel wall. The preferred embodiment of the catheter includes structures which provide radial and lateral support to the guide tubes so that the guide tubes open uniformly and maintain their position against the interior surface of the vessel wall as the sharpened injection needles are advanced to penetrate into the vessel wall.

Abstract: A filter element includes a construction of pleated filter media defining an interior volume. First and second opposite end caps are secured to opposite ends of the filter media. A support structure supports the filter media and is operably oriented in the interior volume. The support structure extends from the first opposing interior face to the second opposing interior face. The support structure is provided to extend less than a full extension between the first end cap and second end cap.

Abstract: Disclosed herein are techniques for using a generative adversarial network (GAN) to train a semantic parser of a dialog system. A method described herein involves accessing seed data that includes seed tuples. Each seed tuple includes a respective seed utterance and a respective seed logical form corresponding to the respective seed utterance. The method further includes training a semantic parser and a discriminator in a GAN. The semantic parser learns to map utterances to logical forms based on output from the discriminator, and the discriminator learns to recognize authentic logical forms based on output from the semantic parser. The semantic parser may then be integrated into a dialog system.

Abstract: A method includes accessing document including sentences, document being associated with configuration flag indicating whether ABSA, SLSA, or both are to be performed; inputting the document into language model that generates chunks of token embeddings for the document; and, based on the configuration flag, performing at least one from among the ABSA and the SLSA by inputting the chunks of token embeddings into a multi-task model. When performing the SLSA, a part of token embeddings in each of the chunks is masked, and the masked token embeddings do not belong to a particular sentence on which the SLSA is performed.

Abstract: Techniques for using enhanced logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system and inputting the utterance into a machine-learning model including a series of network layers. A final network layer of the series of network layers can include a logit function. The machine-learning model can map a first probability for a resolvable class to a first logit value using the logit function. The machine-learning model can map a second probability for a unresolvable class to an enhanced logit value. The method can also include the chatbot system classifying the utterance as the resolvable class or the unresolvable class based on the first logit value and the enhanced logit value.

Abstract: Techniques for noise data augmentation for training chatbot systems in natural language processing. In one particular aspect, a method is provided that includes receiving a training set of utterances for training an intent classifier to identify one or more intents for one or more utterances; augmenting the training set of utterances with noise text to generate an augmented training set of utterances; and training the intent classifier using the augmented training set of utterances. The augmenting includes: obtaining the noise text from a list of words, a text corpus, a publication, a dictionary, or any combination thereof irrelevant of original text within the utterances of the training set of utterances, and incorporating the noise text within the utterances relative to the original text in the utterances of the training set of utterances at a predefined augmentation ratio to generate augmented utterances.

Abstract: The present disclosure is related to techniques for converting a natural language utterance to a logical form query and deriving a natural language interpretation of the logical form query. The techniques include accessing a Meaning Resource Language (MRL) query and converting the MRL query into a MRL structure including logical form statements. The converting includes extracting operations and associated attributes from the MRL query and generating the logical form statements from the operations and associated attributes. The techniques further include translating each of the logical form statements into a natural language expression based on a grammar data structure that includes a set of rules for translating logical form statements into corresponding natural language expressions, combining the natural language expressions into a single natural language expression, and providing the single natural language expression as an interpretation of the natural language utterance.

Abstract: A computer-implemented method includes: accessing a plurality of datasets, where each dataset of the plurality of datasets includes training examples; selecting datasets that include the training examples in a source language and a target language; and sampling, based on a sampling weight that is determined for each of the selected datasets, the training examples from the selected datasets to generate the training batches; training an ML model for performing at least a first task using the training examples of the training batches, by interleavingly inputting the training batches to the ML model; and outputting the trained ML model configured to perform the at least the first task on input utterances provided in at least one among the source language and the target language. The sampling weight is determined for each of the selected datasets based on one or more attributes common to the training examples of the selected dataset.

Abstract: An antimicrobial device, such as a flashlight, lantern, or lamp, is discussed herein. The antimicrobial device produces light in the ultraviolet (UV) spectrum (i.e., 150-250 nm), including 200-230 nm. The antimicrobial device includes an electron source, an extractor, and a target material. The electron source provides the electrons of sufficient energy to cause a photon to be released, whether by a target or by the electron itself. The extractor extracts the electrons from the electron source. The target material is a component at which the electron is directed. The target material can release a photon having a desired wavelength or within a desired wavelength range or cause the electron to release a photon having a desired wavelength or within a desired wavelength range.

Abstract: Techniques are disclosed herein for integrating document question answering in an artificial intelligence-based platform, such as a chatbot system. The techniques include receiving a query from a user, rewriting the query to include one or more specific descriptors, computing an embedding vector for the rewritten query, retrieving one or more textual passages from a document store utilizing the embedding vector for the rewritten query, determining one or more answers to the rewritten query within the one or more textual passages, and returning the one or more answers.

Abstract: Techniques for using logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system. The chatbot system can input the utterance into a machine-learning model including a set of binary classifiers. Each binary classifier of the set of binary classifiers can be associated with a modified logit function. The method can also include the machine-learning model using the modified logit function to generate a set of distance-based logit values for the utterance. The method can also include the machine-learning model applying an enhanced activation function to the set of distance-based logit values to generate a predicted output. The method can also include the chatbot system classifying, based on the predicted output, the utterance as being associated with the particular class.

Abstract: Accessories of a medical device, such as a defibrillator, are described. The accessories reduce delays in treating or monitoring a patient by increasing the efficiency of using, and the ease of use of, the medical device. An adjustable kickstand is movable between a collapsed and extended position to recline the medical device. In the reclined position, a display of the medical device can be more easily viewed by the user. Storage bags can be coupled to the medical device to efficiently store accessories for use with the medical device. The stored accessories can be coupled to the medical device while the accessories are stored within the storage bags. A port guard can protect and shield a connection between a cable and a port of the medical device to prevent the cable (e.g., an ECG cable) from being disconnected from the port of the medical device.

Abstract: An intravascular catheter for peri-vascular and/or peri-urethral tissue ablation includes multiple needles advanced through supported guide tubes which expand around a central axis to engage the interior surface of the wall of the renal artery or other vessel of a human body allowing the injection an ablative fluid for ablating tissue, and/or nerve fibers in the outer layer or deep to the outer layer of the vessel, or in prostatic tissue. The system may also include a means to limit and/or adjust the depth of penetration of the ablative fluid into and beyond the tissue of the vessel wall. The catheter may also include structures which provide radial and/or lateral support to the guide tubes so that the guide tubes expand uniformly and maintain their position against the interior surface of the vessel wall as the sharpened injection needles are advanced to penetrate into the vessel wall.

Abstract: A method for a robotic surgical system includes displaying a graphical user interface on a display to a user, wherein the graphical user interface includes a plurality of reconfigurable display panels, receiving a user input at one or more user input devices, wherein the user input indicates a selection of at least one software application relating to the robotic surgical system, and rendering content from the at least one selected software application among the plurality of reconfigurable display panels.

Abstract: Techniques are disclosed herein for objective function optimization in target based hyperparameter tuning. In one aspect, a computer-implemented method is provided that includes initializing a machine learning algorithm with a set of hyperparameter values and obtaining a hyperparameter objective function that comprises a domain score for each domain that is calculated based on a number of instances within an evaluation dataset that are correctly or incorrectly predicted by the machine learning algorithm during a given trial. For each trial of a hyperparameter tuning process: training the machine learning algorithm to generate a machine learning model, running the machine learning model in different domains using the set of hyperparameter values, evaluating the machine learning model for each domain, and once the machine learning model has reached convergence, outputting at least one machine learning model.

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: Techniques are disclosed herein for continuous hyperparameter tuning with automatic domain weight adjustment based on periodic performance checkpoints. In one aspect, a method is provided that includes initializing a machine learning algorithm with a set of hyperparameter values and obtaining a hyperparameter objective function that is defined at least in part on a plurality of domains of a search space that is associated with the machine learning algorithm. For each trial of a hyperparameter tuning process: running the machine learning algorithm in different domains using the set of hyperparameter values, periodically checking a performance of the machine learning algorithm in the different domains based on the hyperparameter objective function; and continuing hyperparameter tuning with a new set of hyperparameter values after automatically adjusting the domain weights according to a regression status of the different domains.

Abstract: An HHO gas second fuel is produced in a pressure-resistant container and distributed at a low volumetric rate at multiple locations about the internal combustion engine.