Abstract: Accordingly, the inventor has conceived and reduced to practice, a system and method of farming using a computer controlled micro-environment suitable for soil-based and soilless growing media that is sustainable and totally automated from seed to harvest. The system utilizes software, sensor networks, and computing hardware that monitors the environment in the growing units and provides nutrients, water, lighting, air flow, and temperature control specific to the crop being cultivated in one or a combination of vertical assemblies of growing units by means of an automated system of electronically controlled features. Each unit is enabled to independently seed, cultivate, and produce a mature crop and discharge the contents for further processing for the intended market.

Abstract: Techniques are provided for improved training of a machine learning model using lexical dropout. A machine learning model and a training data set are accessed. The training data set can include sample utterances and corresponding labels. A dropout parameter is identified. The dropout parameter can indicate a likelihood for dropping out one or more feature vectors for tokens associated with respective entities during training of the machine learning model. The dropout parameter is applied to feature vectors for tokens associated with respective entities. The machine learning model is trained using the training data set and the dropout parameter to generate a trained machine learning model. The use of the trained the machine learning model is facilitated.

Abstract: The invention relates to using cell free nucleosome levels to identify patients at risk of developing a NETosis associated adverse reaction to the infection. The methods are used to monitor the progress of a disease and assigning a risk of an adverse outcome in a patient suffering from an infection.

Abstract: A system for positioning a patient before, during or after a medical procedure can include an arm assembly having a proximal end, an opposing distal end, and at least one joint therebetween. The joint can be configured to permit the distal end of the arm assembly to move with respect to the proximal end of the arm assembly. The proximal end of the arm assembly can be configured to be fixed with respect to a surgical table. The system can also include a ball joint mechanism attached to the distal end of the arm assembly and to a head support configured to support a patient's head. The ball joint mechanism can include a ball joint and a motor. Activation of the motor can permit or prevent movement of the ball joint.

Abstract: Examples disclosed herein involve a computing system configured to (i) receive, from an image-capture device, image-capture metadata that provides information about a set of images that were passively captured by the image-capture device, (ii) based at least on the received image-capture metadata, apply a collection policy for determining whether to collect any of the set of images that have been passively captured by the image-capture device and thereby determine that a selected subset of one or more images in the set of images are to be collected from the image-capture device, (iii) instruct the image-capture device to upload the selected subset of one or more images, and (iv) after instructing the image-capture device to upload the selected subset of one or more images, receive the selected subset of one or more images from the image-capture device.

Abstract: Techniques are provided for named entity recognition using a gazetteer incorporated with a neural network. An utterance is received from a user. The utterance is input into a neural network comprising model parameters learned for named entity recognition. The neural network generates a first representation of one or more named entities based on the utterance. A gazetteer is searched based on the input utterance to generate a second representation of one or more named entities identified in the utterance. The first named entity representation is combined with the second named entity representation to generate a combined named entity representation. The combined named entity representation is output for facilitating a response to the user.

Abstract: The disclosure relates to insecticidal toxin resistance management and screening of novel insecticidal toxin receptors for insect resistance. 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 insect pest management strategies.

Abstract: The present invention relates to a method of treating, preventing or delaying the progression of cancer and/or tumour in a subject comprising administering to the subject a treatment regimen comprising an effective amount of modified immunoresponsive cells expressing or presenting a heterologous T-cell receptor (TCR) having the property of binding to MAGE A4

Abstract: Methods and apparatus for partitioned private interconnects to provider networks are described. At least a portion of available bandwidth of a private physical interconnect between a provider network and a connectivity intermediary's network is designated as the bandwidth limit of an interconnect partition set up on behalf of a customer at the request of the intermediary. The intermediary's network comprises one or more devices to which at least one of the customer's devices is connected. Access to one or more resources of the provider network via the interconnect is enabled. Traffic monitoring results associated with the interconnect are used to enforce the designated bandwidth limit of the partition.

Abstract: To the standard operations of an inverted index database, a new “To” operator is added. The “To” operator treats the standard single-level linear collection of records as being organized into localized clusters. Techniques for hierarchical clusters are presented. During indexing, hierarchical clusters are serialized according to a uniform visitation procedure. Serialization produces bit maps, one for each hierarchical level, that preserve the hierarchical level of each record and its location in the serialization sequence. For non-hierarchical clusters, byte maps can be produced. The “To” operator accepts a list of records, each at a same hierarchical level in a cluster, and a specification of a hierarchical level that all the input records should be converted into. The “To” operator outputs a list of records, representing a conversion of the input records to the specified new level. Logical Forms, against which frame extraction rules match, can be stored in hierarchical clusters.

Abstract: A CPR manikin is provided. The manikin can have a size and shape of the torso area of a human, including a head and a chest area. The head and chest area can be operatively configured to generally mimic a human head, chest, respiratory and cardiopulmonary morphology. Improvements relate to recording, transmitting and reporting scenario data related to chest compression, breathing parameters, and ease of use.

Abstract: Techniques are disclosed herein for synthesizing synthetic training data to facilitate training a natural language to logical form model. In one aspect, training data can be synthesized from original under a framework based on templates and a synchronous context-free grammar. In one aspect, training data can be synthesized under a framework based on a probabilistic context-free grammar and a translator. In one aspect, training data can be synthesized under a framework based on tree-to-string translation. In one aspect, the synthetic training data can be combined with original training data in order to train a machine learning model to translate an utterance to a logical form.

Abstract: Techniques for preprocessing data assets to be used in a natural language to logical form model based on scalable search and content-based schema linking. In one particular aspect, a method includes accessing an utterance, classifying named entities within the utterance into predefined classes, searching value lists within the database schema using tokens from the utterance to identify and output value matches including: (i) any value within the value lists that matches a token from the utterance and (ii) any attribute associated with a matching value, generating a data structure by organizing and storing: (i) each of the named entities and an assigned class for each of the named entities, (ii) each of the value matches and the token matching each of the value matches, and (iii) the utterance, in a predefined format for the data structure, and outputting the data structure.

Abstract: Techniques are disclosed for training a model, using multi-task learning, to transform natural language to a logical form. In one particular aspect, a method includes accessing a first set of utterances that have non-follow-up utterances and a second set of utterances that have initial utterances and associated one or more follow-up utterances and training a model for translating an utterance to a logical form. The training is a joint training process that includes calculating a first loss for a first semantic parsing task based on one or more non-follow-up utterances from the first set of utterances, calculating a second loss for a second semantic parsing task based on one or more initial utterances and associated one or more follow-up utterances from the second set of utterances, combining the first and second losses to obtain a final loss, and updating model parameters of the model based on the final loss.

Abstract: Techniques are disclosed herein for synthesizing synthetic training data to facilitate training a natural language to logical form model. In one aspect, training data can be synthesized from original under a framework based on templates and a synchronous context-free grammar. In one aspect, training data can be synthesized under a framework based on a probabilistic context-free grammar and a translator. In one aspect, training data can be synthesized under a framework based on tree-to-string translation. In one aspect, the synthetic training data can be combined with original training data in order to train a machine learning model to translate an utterance to a logical form.

Abstract: Techniques are disclosed herein for synthesizing synthetic training data to facilitate training a natural language to logical form model. In one aspect, training data can be synthesized from original under a framework based on templates and a synchronous context-free grammar. In one aspect, training data can be synthesized under a framework based on a probabilistic context-free grammar and a translator. In one aspect, training data can be synthesized under a framework based on tree-to-string translation. In one aspect, the synthetic training data can be combined with original training data in order to train a machine learning model to translate an utterance to a logical form.

Abstract: Described herein are dialog systems, and techniques for providing such dialog systems, that are suitable for use on standalone computing devices. In some embodiments, a dialog system includes a dialog manager, which takes as input an input logical form, which may be a representation of user input. The dialog manager may include a dialog state tracker, an execution subsystem, a dialog policy subsystem, and a context stack. The dialog state tracker may generate an intermediate logical form from the input logical form combined with a context from the context stack. The context stack may maintain a history of a current dialog, and thus, the intermediate logical form may include contextual information potentially missing from the input logical form. The execution subsystem may execute the intermediate logical form to produce an execution result, and the dialog policy subsystem may generate an output logical form based on the execution result.

Abstract: An assembly includes a sensor lens, a polymer film adhered to the sensor lens, a hydrophilic coating applied to the sensor lens, and a fluid layer between the sensor lens and the polymer film, wherein the fluid layer is disposed on the hydrophilic coating.

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: The disclosure is and includes at least an apparatus, system and method for a flexible heater sensor suitable for association with a fluid bag. The apparatus, system and method may include a conformable substrate on a ply of the fluid bag opposite a printed flexible heater; and a matched function ink set, printed onto at least one substantially planar face of the substrate.