Abstract: Energy consumption modelling requires to consider various factors affecting the energy consumption in buildings, to be able to effectively forecast future consumption. Even though some of the state of the art deep learning based approaches are able to address these requirements to some extent, they are computationally heavy. The disclosure herein generally relates to energy forecasting, and, more particularly, to a method and system for graph signal processing (GSP) based energy modelling and forecasting. The system monitors and collects information on energy consumption in a building and values of associated energy consumption parameters. This input data is further processed using GSP to generate a building energy consumption model, from which a smooth signal is obtained by applying total variation minimization. The system further performs forecasting using the smooth signal.

Abstract: Methods for providing a location of an object or objects of interest that may be performed by a processor of a computing device may include generating a map of an environment around the computing device by a first simultaneous location and mapping (SLAM) operation using information received from the optical sensor, identifying an object of interest in the environment of the computing device by an object recognition operation using information received from the optical sensor, determining a location of the object or objects of interest in the environment, and presenting the determined location of the object or objects of interest in the environment in response to a trigger event correlated to the object or objects of interest.

Abstract: An airfoil assembly extends along a radial direction between a root and a tip, the airfoil assembly comprising: a first blade segment positioned proximate the root of the airfoil assembly; a second blade segment positioned adjacent the first blade segment along the radial direction; and a tensioning assembly comprising a plurality of tensioning strings that extend between and mechanically couple the first blade segment and the second blade segment.

Abstract: The method includes homogenizing a monochromatic coherent light source, irradiating the sample at plurality of points along all planes with the homogenized monochromatic light, collecting the molecular scattered light from all angles and planes to obtain a plurality of profile, resolving the plurality of profiles to obtain a molecular intensity maps, and reconstituting the intensity maps to obtain a three dimensional image of the sample. The system described is capable of obtaining molecular specific 3D morphology and profile of samples. The system described is capable of differentiating different chemicals or sample distribution throughout the 3D volume.

Abstract: Devices and techniques are generally described for learned condition text-to-speech synthesis. In some examples, first data representing a selection of a type of prosodic expressivity may be received. In some further examples, a selection of content comprising text data may be received. First audio data may be determined that includes an audio representation of the text data. The first audio data may be generated based at least in part on sampling from a first latent distribution generated using a conditional primary variational autoencoder (VAE). The sampling from the first latent distribution may be conditioned on a first learned distribution associated with the type of prosodic expressivity. In various examples, the first audio data may be sent to a first computing device.

Abstract: A speech-processing system receives first audio data correspond to a first voice and second audio data corresponding to a second voice. The speech-processing system determines vocal characteristics of the second voice and determines output corresponding to the first audio data and the vocal characteristics.

Abstract: A speech-processing system receives first audio data correspond to a first voice and second audio data corresponding to a second voice. The speech-processing system determines vocal characteristics of the second voice and determines output corresponding to the first audio data and the vocal characteristics.

Abstract: Techniques for performing text-to-speech are described. An exemplary method includes receiving a request to generate audio from input text; generating audio from the input text by: generating a first number of vectors from phoneme embeddings representing the input text, predicting one or more spectrograms having the first number of frames using multiple scales wherein a coarser scale influences a finer scale, concatenating the first number of vectors and the predicted one or more spectrograms, generating at least one mel spectrogram from the concatenated vectors and the predicted one or more spectrograms, and converting, with a vocoder, the at least one mel spectrogram frames to audio; and outputting the generated audio according to the request.

Abstract: A method for providing augmented reality (AR) recommendations to a user by an electronic device include displaying, by the electronic device, an image on a screen of the electronic device, identifying, by the electronic device, at least one real world object in the image, determining, by the electronic device, at least one function of at least one application installed in the electronic device based on the at least one identified real world object, and augmenting, by the electronic device, the at least one function of the at least one application as an AR recommendation over the image.

Abstract: The disclosure provides a structure that is used in the treatment of a fluid. The packing structure comprises a body having an axis. The packing structure also has at least one curved flow path that rotates around, and extends along at least a portion of, the axis of the body.

Abstract: A speech-processing system receives input data representing text. An input encoder processes the input data to determine first embedding data representing the text. A local attention encoder processes a subset of the first embedding data in accordance with a predicted size to determine second embedding data. An attention encoder processes the second embedding data to determine third embedding data. A decoder processes the third embedding data to determine audio data corresponding to the text.

Abstract: Techniques for utilizing memory for a neural network are described. For example, some techniques utilize a plurality of memory types to respond to a query from a neural network including a short-term memory to store fine-grained information for recent text of a document and receiving a first value in response, an episodic long-term memory to store information discarded from the short-term memory in a compressed form and receiving a second value in response, and a semantic long-term memory to store relevant facts per entity in the document.

Abstract: The latency corresponding to a latency-sensitive event-based processor is evaluated to determine whether the latency-sensitive event-based processor (EBP) should be prioritized. If so, constraints on the number of events that the latency-sensitive EBP can process are relaxed and the frequency with which the latency-sensitive EBP can process events is increased. At a next latency evaluation, if the latency-sensitive EBP no longer meets criteria for prioritization, the constraint on the number of events is returned to a nominal level, as is the frequency with which the latency-sensitive EBP can process events.

Abstract: Techniques described herein automatically associate an image with an audio track. At least some implementations identify an audio track of interest, and automate associating an image with the audio track. Some implementations gather context information during playback of an audio track, and use the context information to automatically identify an image to associate with the audio track. Upon associating the image with the audio track, various implementations render the image during subsequent playback of the audio track.

Abstract: The disclosure provides a structure that is used in the treatment of a fluid. The packing structure comprises a body having an axis. The packing structure also has at least one curved flow path that rotates around, and extends along at least a portion of, the axis of the body.

Abstract: The latency corresponding to a latency-sensitive event-based processor is evaluated to determine whether the latency-sensitive event-based processor (EBP) should be prioritized. If so, constraints on the number of events that the latency-sensitive EBP can process are relaxed and the frequency with which the latency-sensitive EBP can process events is increased. At a next latency evaluation, if the latency-sensitive EBP no longer meets criteria for prioritization, the constraint on the number of events is returned to a nominal level, as is the frequency with which the latency-sensitive EBP can process events.

Abstract: The present embodiments are generally directed to analyzing clock jitter. Jitter affects the clock delay of the circuit and the time the clock is available at sync points, so it is important to calculate its impact correctly to take appropriate margin during timing analysis. Jitter could be due to various reasons—one of them is due to IR Impact on the Clock Tree. IR drop variations between the two consecutive cycles can effectively reduce the available clock period for data to be correctly captured.

Abstract: A calendar application on a communication device generates a user interface that allows a user to interact with a representation of a calendar event. The calendar application detects a user configuration input indicative of how to control the communication device, in responding to a real-time communication event, during the calendar event. When the real-time communication event is detected during the calendar event, the calendar application controls the communication device based upon the configuration input.

Abstract: Techniques described herein automatically associate an image with an audio track. At least some implementations identify an audio track of interest, and automate associating an image with the audio track. Some implementations gather context information during playback of an audio track, and use the context information to automatically identify an image to associate with the audio track. Upon associating the image with the audio track, various implementations render the image during subsequent playback of the audio track.

Abstract: A method includes receiving weather data in a device, identifying a clothing selection by a user in the device, and generating a first notification message on the device responsive to the clothing selection being incompatible with the weather data. A device includes a display and a processor coupled to the display to receive weather data, identify a clothing selection by a user, and generate a first notification message on the display responsive to the clothing selection being incompatible with the weather data.