Abstract: A method includes receiving from a client system a user input having input tokens and generating a span-based frame representation based on the input tokens. The span-based frame representation may include intents, slots, and a span. The span may include a first index endpoint associated with a first token and a second index endpoint associated with a second token. The method further includes encoding the user input, based on an encoder of a natural language understanding module, to generate a feature vector for the user input, and determining, by a length module of the natural language understanding module, a length of the span-based frame representation based on the feature vector for the user input. Generating the span-based frame representation may be further based on the length of the span-based frame representation. The method further includes, responsive to the user input, executing tasks based on the span-based frame representation.

Abstract: In one embodiment, a method includes receiving a user input comprising input tokens from a client system, parsing the user input to determine ontology tokens and utterance tokens corresponding to the input tokens, decoding the ontology tokens and the utterance tokens to generate a span-based frame representation comprising intents, slots, and a span, wherein the ontology tokens are decoded into the intents and slots, and wherein the utterance tokens are decoded to determine the span comprising one or more tokens of the input tokens, wherein the span comprises a first index endpoint associated with a first token of the one or more tokens and a second index endpoint associated with a second token of the one or more tokens, and executing, responsive to the user input, one or more tasks based on the span-based frame representation.

Abstract: Various embodiments enable generation of a detailed health report for a patient based at least in part on patient data collected and/or generated at a wearable client device. The patient data may be generated by one or more sensors onboard and/or in communication with the wearable client device. The patient data is provided to a centralized monitoring system, which analyzes the patient data in accordance with user input provided by one or more healthcare providers having access to anonymized versions of the patient data. The monitoring system then generates the detailed health report based at least in part on the results of the analysis performed on the patient data.

Abstract: A handheld device including a Central Processing Unit (CPU) for receiving an original image input into the handheld device, and converting the original image into a quadrilateral image corresponding to a display size; and a General Purpose Computing on Graphics Processing Unit (GPGPU) for setting fragments for pixels included within vertices of the quadrilateral image, and applying a predetermined algorithm for image processing to the original image.