Abstract: The present invention generally relates to systems and methods of classification and localization of features of interest in remote aerial images. It relates particularly to a system and method of classifying and localizing features of interest on satellite images by semantic segmentation using a trained deep learning convolutional neural network. Increasing the accuracy of classification and localization requires that the neural network to decipher the difference between the feature of interest and other features in the background. This invention addresses the problem of low accuracy in classifying and localizing pixels corresponding to the feature of interest by enabling the user to include more information together with the original pixel values in the satellite images. An exemplary embodiment of this invention is a system and method of locating mango trees in a plantation in Bataan province, Philippines using a U-net convolutional network.

Abstract: A system and a method for converting protein data bank (PDB) files into a grayscale image array is provided. The method includes extracting PDB files from a PDB, using a data extraction module. The method also includes converting, using a file conversion module, the PDB files into a data frame based on BioPandas. The method further includes selecting, using a column selection module, one or more columns from the data frame based on a pre-determined criteria. The method furthermore includes converting, using a column conversion module, the selected one or more columns into a NumPy array for rendering the data frame to resemble an image. The method furthermore includes resizing the NumPy array using an OpenCV for making size of the NumPy array uniform and for generating a grayscale image array.

Abstract: A system and a method for predicting a binding affinity of protein structures based on deep learning is disclosed. The method includes capturing, using a data capture module, a multi-dimensional structure of a plurality of protein-protein complexes from a protein sequence data set. The method also includes performing featurization, using a featurization module, of the multi-dimensional structure of the plurality of protein-protein complexes by creating an adjacency matrix for successive spherical shells centered around each type of a plurality of amino acid sequences. The method further includes predicting, using a prediction module, a binding affinity from text sequence of the plurality of amino acid sequences using a pre-trained artificial intelligence model based on the adjacency matrix.

Abstract: A system and a method for converting a protein data bank file into a two-dimensional numerical matrix is provided. The method also includes extracting PDB files from a PDB, using a data extraction module. The method further includes analyzing the PDB files using an analysis module for calculating and visualizing interatomic interactions in protein structures. The method further includes generating, using a file generation module, a comma separated values (CSV) file based on the analysis. The method further includes performing a featurization of the CSV file using a featurization module. The method further includes generating, using a matrix generating module, the two-dimensional numerical matrix based on the featurization.

Abstract: Devices and techniques are generally described for learning personalized responses to declarative natural language inputs. In various examples, a first natural language input may be received. The first natural language input may correspond to intent data corresponding to a declarative user input. In some examples, a dialog session may be initiated with the first user. An action intended by the first user for the first natural language input may be determined based at least in part on the dialog session. In various examples, first data representing the action may be stored in association with second data representing a state described by at least a portion of the first natural language input.

Abstract: A device capable of autonomous motion may move in an environment and may receive audio data from a microphone. If the device receives a command represented in the audio data that is absent from a set of known commands, the device may prompt the user to explain how to perform the command. The device may save a command template corresponding to the command, which may be used to perform future commands.

Abstract: A method and system for generating a plurality of antibody sequences of a target from one or more framework regions based on at least one model. The model is trained on a training dataset of high binding affinity to generate the complementarity determining regions (CDR) from the received one or more framework regions (FR). The generated complementarity determining regions (CDR) from the each of the one or more framework regions (FR) are combined with the associated one or more framework regions to generate one or more regions of the target. The generated one or more regions comprises each of the received one or more framework regions (FR) and corresponding each of the generated complementarity determining regions (CDR). The generated one or more regions are concatenated to generate the plurality of antibody sequences of the target. The generated plurality of antibody sequences of the target has high binding affinity.

Abstract: A method and system for generating a plurality of new antibody sequences corresponding to a target from a single lead antibody sequence. A model is pre-trained with a training dataset of plurality of known antibody sequences to learn a structural pattern from the plurality of known antibody sequences. The method includes receiving the single lead antibody sequence. The lead antibody sequence has one or more regions. The regions have one or more lead framework regions (FR) and one or more lead complementarity determining regions (CDR). The pre-trained model is configured to process the single lead antibody sequence to identify a relationship between the one or more lead framework regions (FR) and one or more lead complementarity determining regions (CDR). A plurality of new antibody sequences are generated from the single lead antibody amino acid of the sequence by the pre-trained model based on the identified relationship and the structural pattern.

Abstract: Devices and techniques are generally described for learning personalized concepts for natural language processing. In various examples, a first natural language input may be received. In some examples, a determination may be made that the first natural language input comprises non-actionable slot data. A dialog session may be initiated with the user. In some examples, first slot data that is indicated by the user during the dialog session may be determined. In various examples, data representing the first slot data may be stored in a database in association with the first natural language input.

Abstract: Systems and methods for facilitating user interaction such as within a social network are described. In one implementation, location-based display of images and/or other information associated with other users or entities may be provided. The information may be provided in association with mapping or other positional data or information such as personal interests.

Abstract: A system and method for forming an aft fuselage section of an aircraft include a forward section having a stabilizer channel. The forward section includes an upper sill beam and a lower sill beam. One or more pivot fittings are securely fastened between the upper sill beam and the lower sill beam. The one or more pivot fittings are configured to pivotally couple to a horizontal stabilizer within the stabilizer channel.

Abstract: Systems and methods for facilitating user interaction such as within a social network are described. In one implementation, location-based display of images and/or other information associated with other users or entities may be provided. The information may be provided in association with mapping or other positional data or information such as personal interests.

Abstract: Artificial assistant system notification techniques are described that overcome the challenges of conventional search techniques. In one example, a user profile is generated to describe aspects of products or services learned through natural language conversations between a user and an artificial assistant system. These aspects may include price as well as non-price aspects such as color, texture, material, and so forth. To learn the aspects, the artificial assistant system may leverage spoken utterances and text initiated by the user as well as learn the aspects from digital images output as part of the conversation. Once generated, the user profile is then usable by the artificial assistant system to assist in subsequent searches.

Abstract: Artificial assistant system notification techniques are described that overcome the challenges of conventional search techniques. In one example, a user profile is generated to describe aspects of products or services learned through natural language conversations between a user and an artificial assistant system. These aspects may include price as well as non-price aspects such as color, texture, material, and so forth. To learn the aspects, the artificial assistant system may leverage spoken utterances and text initiated by the user as well as learn the aspects from digital images output as part of the conversation. Once generated, the user profile is then usable by the artificial assistant system to assist in subsequent searches.

Abstract: A system and method for forming an aft fuselage section of an aircraft include a forward section having a stabilizer channel. The forward section includes an upper sill beam and a lower sill beam. One or more pivot fittings are securely fastened between the upper sill beam and the lower sill beam. The one or more pivot fittings are configured to pivotally couple to a horizontal stabilizer within the stabilizer channel.

Abstract: A system is provided for determining which component of a speech processing system is the cause of an undesired response to a user input. The system processes ASR data and NLU data to determine the component likely to cause the undesired response. Based on which component is the cause of the undesired response, the system performs an appropriate conversation recovery technique to confirm the speech processing results with the user.

Abstract: A wearable dispensing device includes a pouch made of a flexible material and having opposed first and second walls defining an interior configured for containing a fluid therein, the pouch further including an outlet port in fluid communication with the interior. A support has a first portion attached to the pouch and a second portion contiguous with the first portion, with the second portion being configured for attachment of the pouch to an outer surface of a human wearer. A dispensing tube has a first end in fluid communication with the outlet port and a second end configured for fluid dispensing. A kit for assembling the wearable dispensing device and a method of operating the wearable dispensing device are also disclosed.

Abstract: Devices and techniques are generally described for learning personalized responses to declarative natural language inputs. In various examples, a first natural language input may be received. The first natural language input may correspond to intent data corresponding to a declarative user input. In some examples, a dialog session may be initiated with the first user. An action intended by the first user for the first natural language input may be determined based at least in part on the dialog session. In various examples, first data representing the action may be stored in association with second data representing a state described by at least a portion of the first natural language input.

Abstract: Systems and methods for facilitating user interaction such as within a social network are described. In one implementation, location-based display of images and/or other information associated with other users or entities may be provided. The information may be provided in association with mapping or other positional data or information such as personal interests.

Abstract: A wearable dispensing device includes a pouch made of a flexible material and having opposed first and second walls defining an interior configured for containing a fluid therein, the pouch further including an outlet port in fluid communication with the interior. A support has a first portion attached to the pouch and a second portion contiguous with the first portion, with the second portion being configured for attachment of the pouch to an outer surface of a human wearer. A dispensing tube has a first end in fluid communication with the outlet port and a second end configured for fluid dispensing. A kit for assembling the wearable dispensing device and a method of operating the wearable dispensing device are also disclosed.