Abstract: Systems and methods that provide audio feedback in response to gesture validity can provide a more intuitive interface that can train users to correctly complete gestures. Moreover, systems and methods that provide line-specific audio feedback can provide more specific feedback that can allow a user to better understand what sensing line is being contacted. The systems and methods can further include basing the audio feedback based at least in part on obtained activity data, such that invalid and valid feedbacks can provide different sounds dependent on the determined activity state.

Abstract: Systems and methods for managing interactive object input are disclosed. An interactive object can include sensors configured to generate sensor data indicative of movement associated with a user of the interactive object. Movement data can be analyzed to detect an attachment of a user to the interactive object and/or a separation of a user from the interactive object. State data indicative of a state of the interactive object relative to the user device can be generated in response detecting a separation of a user from the interactive object. The user device can be disabled, based on the state data, from initiating one or more functions in response to input received at the interactive object.

Abstract: Systems and methods that provide audio feedback in response to gesture validity can provide a more intuitive interface that can train users to correctly complete gestures. Moreover, systems and methods that provide line-specific audio feedback can provide more specific feedback that can allow a user to better understand what sensing line is being contacted. The systems and methods can further include basing the audio feedback based at least in part on obtained activity data, such that invalid and valid feedbacks can provide different sounds dependent on the determined activity state.

Abstract: Systems and methods that provide audio feedback in response to gesture validity can provide a more intuitive interface that can train users to correctly complete gestures. Moreover, systems and methods that provide line-specific audio feedback can provide more specific feedback that can allow a user to better understand what sensing line is being contacted. The systems and methods can further include basing the audio feedback based at least in part on obtained activity data, such that invalid and valid feedbacks can provide different sounds dependent on the determined activity state.

Abstract: A system for motion capture of human body movements includes sensor nodes configured for coupling to respective portions of a human subject. Each sensor node generates inertial sensor data as the human subject engages in a physical activity session and processes the inertial sensor data according to a first machine-learned model to generate a set of local motion determinations. One or more computing devices receive the sets of local determinations and process them according to a second machine-learned model to generate a body motion profile. The computing device(s) provide an animated display of an avatar moving according to the body motion profile and generate training data based on input received from a viewer in response to the animated display. The computing device(s) modify at least one of the first machine-learned model or the second machine-learned model based at least in part on the training data.

Abstract: Computing systems and related methods are provided for discovery of undefined user movements. Sensor data associated with one or more sensors of a wearable device can be obtained and input into one or more machine-learned models that have been trained to learn a continuous embedding space based at least in part on one or more target criteria. Data indicative of a position of the sensor data within the continuous embedding space can be obtained as an output of the one or more machine-learned models. A functionality associated with the position of the sensor data within the continuous embedding space can be determined. The functionality associated with the position of the sensor data within the continuous embedding space can be initiated.

Abstract: Generally discussed herein are systems, apparatuses, and methods for organizing and/or searching news events. In one or more embodiments, a method can include encoding a news event based on named entities, actors, and actions mentioned in the news event, calculating a locality sensitive hash (LSH) key on the news event encoding, comparing the calculated LSH key to a plurality of LSH keys of respective stories, wherein each story of the respective stories comprises one or more associated news events that include LSH keys that are within a specified distance from each other, and associating the news event with a story of the respective stories that includes an LSH key that has a smallest distance from the LSH key of the received news event and is less than the specified distance.

Abstract: Generally discussed herein are systems, apparatuses, and methods for organizing and/or searching news events. In one or more embodiments, a method can include encoding a news event based on named entities, actors, and actions mentioned in the news event, calculating a locality sensitive hash (LSH) key on the news event encoding, comparing the calculated LSH key to a plurality of LSH keys of respective stories, wherein each story of the respective stories comprises one or more associated news events that include LSH keys that are within a specified distance from each other, and associating the news event with a story of the respective stories that includes an LSH key that has a smallest distance from the LSH key of the received news event and is less than the specified distance.

Abstract: A soft, flexible, double layer fabric pad-like liner has four rounded wings arranged in a generally cruciform shape. Each wing includes an attachment element that registers with a complementary attachment element on respective seams of a garment to removably engage the liner with the garment over the seams.

Abstract: A computer implemented meta search engine and search method. In accordance with this method, a query is forwarded to one or more third party search engines, and the responses from the third party search engine or engines are parsed in order to extract information regarding the documents matching the query. The full text of the documents matching the query are downloaded, and the query terms in the documents are located. The text surrounding the query terms are extracted, and that text is displayed.

Abstract: An autonomous citation indexing system which can be used as an assistant agent automates and enhances the task of finding publications in electronic form, including publications located on the world wide web. The system parses citations from papers and identifies citations to the same paper that may differ in syntax. The system also extracts and provides the context of citations to a given paper, allowing a researcher to determine what is published in other papers about a given paper. Common citations and word or string vector distance similarity are used to find related articles in a search.

Abstract: An autonomous citation indexing system which can be used as an assistant agent automates and enhances the task of finding publications in electronic form, including publications located on the world wide web. The system parses citations from papers and identifies citations to the same paper that may differ in syntax. The system also extracts and provides the context of citations to a given paper, allowing a researcher to determine what is published in other papers about a given paper. Common citations and word or string vector distance similarity are used to find related articles in a search.

Abstract: An autonomous citation indexing system which can be used as an assistant agent automates and enhances the task of finding publications in electronic form, including publications located on the world wide web. The system parses citations from papers and identifies citations to the same paper that may differ in syntax. The system also extracts and provides the context of citations to a given paper, allowing a researcher to determine what is published in other papers about a given paper. Common citations and word or string vector distance similarity are used to find related articles in a search.

Abstract: A hybrid neural network system for object recognition exhibiting local image sampling, a self-organizing map neural network, and a hybrid convolutional neural network. The self-organizing map provides a quantization of the image samples into a topological space where inputs that are nearby in the original space are also nearby in the output space, thereby providing dimensionality reduction and invariance to minor changes in the image sample, and the hybrid convolutional neural network provides for partial invariance to translation, rotation, scale, and deformation. The hybrid convolutional network extracts successively larger features in a hierarchical set of layers. Alternative embodiments using the Karhunen-Loeve transform in place of the self-organizing map, and a multi-layer perceptron in place of the convolutional network are described.

Abstract: Based on the encoding of deterministic finite-state automata (DFA) in discrete-time, second-order recurrent neural networks, an algorithm constructs an augmented recurrent neural network that encodes a FFA and recognizes a given fuzzy regular language with arbitrary accuracy.

Abstract: A method and apparatus for the prediction of time series data, specifically, the prediction of a foreign currency exchange rate. The method disclosed transforms the time series data into a difference of a series, compresses the transformed data using a log transformation, converts the compressed data into symbols, and subsequently trains one or more neural networks on the symbols such that a prediction is generated. Alternative embodiments demonstrate the conversion by a self-organizing map and training by a recurrent neural network.

Abstract: Any deterministic finite-state automata (DFA) can be implemented in a sparse recurrent neural network (RNN) with second-order weights and sigmoidal discriminant functions. Construction algorithms can be extended to fault-tolerant DFA implementations such that faults in an analog implementation of neurons or weights do not affect the desired network performance. The weights are replicated k times for k-1 fault tolerance. Alternatively, the independent network is replicated 2k+1 times and the majority of the outputs is used for a k fault tolerance. In a further alternative solution, a single network with k.eta. neurons uses a "n choose k"encoding algorithm for k fault tolerance.

Abstract: An optical processor that can compute the moments of a two-dimensional image in parallel. The image is placed at the plane of a holographic mask which is disposed in the front focal plane of a Fourier-transforming lens and each of the desired moments is found at a respective one of a plurality of photodetectors arrayed in the back focal plane of the lens.