Abstract: A method, an apparatus and a machine-readable medium are disclosed. The method relates to operating a user interface.

Abstract: An example non-transitory computer-readable storage medium comprises instructions that, when executed by a processing resource of a computing device, cause the processing resource to generate haptics metadata using audio-haptics classification based at least in part on spatial audio associated with a digital environment. The instructions further cause the processing resource to encode the spatial audio with the haptics metadata to generate a rendering package.

Abstract: Audio signal dereverberation can be carried out in accordance instructions on a machine readable storage medium, using a processor. In an example, a location of a person in a room can be determined. An audio signal received from the location of the person can be captured using beamforming. Room properties can be determined based in part on a signal sweep of the room. A dereverberation parameter can be determined based in part on the location of the person and the room properties. The dereverberation parameter can be applied to the audio signal.

Abstract: An example device includes a main display panel that includes a main array of pixels and an opening within the main array of pixels. The example device further includes a beam splitter positioned to communicate light through the opening within the main array of pixels, a sensor positioned with respect to the beam splitter to capture light incident on the opening within the main array of pixels, and a subarray including a pixel. The subarray is positioned with respect to the beam splitter to output light through the opening within the main array of pixels.

Abstract: Acoustic echo cancellation for a video conference system is described. A location of a person in a room can be determined. An audio signal received from the location of the person can be captured using beamforming. An acoustic echo cancellation parameter can be determined based in part on the audio signal captured from the location of the person. Acoustic echo cancellation can be performed on the audio signal using the acoustic echo cancellation parameter.

Abstract: Examples for global motion suppression in an event-driven camera are described herein. In some examples, global motion of an event-driven camera is detected based on a plurality of pixels of an event-driven image sensor detecting events. The global motion may be suppressed by event-driven image sensor circuitry in response to detecting the global motion.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: An apparatus includes a support, a first camera, and second camera, and a processor. The support is configured to be mounted to a head of a user. The first camera is mounted on the support and positioned to capture a first image of a face of the user. The second camera is mounted on the support and positioned to capture a second image of the face of the user that is non-overlapping with the first image. The processor is mounted to the support and programmed to stitch the first image and the second image together to construct an image of the face of the user.

Abstract: In example implementations, a method is provided. The method may be executed by a processor. The method includes receiving a reflected image of a mirrored display. At least one optimal display region is identified in the mirrored display around a main subject in the reflected image based on additional reflected subjects in the reflected image. A content is analyzed to determine an arrangement of the content in the at least one optimal display region. The content that is displayed is arranged in the at least one optimal display region.

Abstract: In an example, an augmented reality display system includes a reflective surface, a depth scanner and processing apparatus comprising an image processor and an image generation engine. The depth scanner may be to scan the reflective surface and a subject via the reflective surface to acquire depth data. The image processor may be to determine, based on the depth data, a viewpoint for an augmentation of a reflected image. The image generation engine may be to generate the augmentation for display on the reflective surface.

Abstract: Examples for event-based processing using the output of a deep neural network are described herein. In some examples, event format data may be provided to a spiking neural network (SNN). The SNN may perform processing on the event format data. The SNN may be trained for processing the event format data based on an output of a deep neural network (DNN) trained for processing of sensing data.

Abstract: Techniques for implementing neighbor equivalence groups on a network device are provided, where a neighbor equivalence group is a group of peers of the network device that communicate identical control plane state information for a given network protocol to the network device. In the context of Border Gateway Protocol (BGP), these techniques can include (1) creating, by the network device, a neighbor equivalence group for a set of BGP peers that advertise the same BGP paths to the device, (2) maintaining, by the network device, a single path database for the neighbor equivalence group (rather than one path database for each BGP peer in the group), and (3) immediately processing by the network device, BGP path update/withdrawal messages received from any of the BGP peers in the group against the single path database, without waiting for the same message to be received from every peer.

Abstract: A system for exposure control of captured images includes a processor, a memory device communicatively coupled to the processor, a first image capture device located within a space and communicatively coupled to the processor, a second image capture device located within the space and communicatively coupled to the processor, a plurality of electromagnetic wave sources located within the space, and an illumination module stored on the memory device and executable by the processor. the illumination module activates the first image capture device to capture an image of a subject, and coordinate the plurality of electromagnetic wave sources to illuminate the subject based on the location of the first image capture device relative to the subject and the location and an orientation of each of the electromagnetic wave sources.

Abstract: An example non-transitory computer-readable medium includes instructions. When executed by a processor, the instructions cause the processor to split a video frame into a first frame including blocks classified as natural and a second frame including blocks classified as artificial. The instructions also cause the processor to compress the first frame with a first compression technique. The instructions also cause the processor to compress the second frame with a second compression technique.

Abstract: An audio signal classifier including a feature extractor to extract metadata from an audio signal, the metadata defining a plurality of features of the audio signal, the feature extractor to generate a feature vector including selected features of the audio signal, the selected features including a duration of the audio signal, and each selected feature having a feature value. A machine learning model trained to classify the audio signal as one of a plurality of audio signal classes based on the feature vector. The machine learning model to provide a plurality of class values based on the feature values, each class value corresponding to one of the plurality of audio signal classes, the plurality of class values together indicating the class of the audio signal.

Abstract: An apparatus includes a support, a first camera, and second camera, and a processor. The support is configured to be mounted to a head of a user. The first camera is mounted on the support and positioned to capture a first image of a face of the user. The second camera is mounted on the support and positioned to capture a second image of the face of the user that is non-overlapping with the first image. The processor is mounted to the support and programmed to stitch the first image and the second image together to construct an image of the face of the user.

Abstract: A communication system may include, in an example, a first computing device communicatively coupled, via a network, to at least a second computing device maintained at a geographically distinct location than the first computing device; the first computing device including: an array of audio output devices and a processor to receive transmitted speech data and metadata describing an estimated direction of arrival (DOA) of speech from a plurality of speakers at an array of microphones at the second computing device and render audio at the array of audio output devices associated with the first computing device by eliminating spatial collision during rendering; said spatial collision arising due to the low angular separation of the estimated DOA of a plurality of speakers.

Abstract: A location of a first wireless device relative to a second wireless device with which the first wireless device exchanges an in-band data stream is determined. The in-band data stream is exchanged via a wireless signal, and the location is determined based at least in part on an out-of-band data stream originating at the first wireless device. A direction toward which to steer a beam of radiation emitted by an antenna array of the first wireless device is determined based on the location. An instruction is then transmitted to the first wireless device. The instruction instructs the first wireless device to steer the beam toward the direction.

Abstract: In an example, an augmented reality display system includes a reflective surface, a depth scanner and processing apparatus comprising an image processor and an image generation engine. The depth scanner may be to scan the reflective surface and a subject via the reflective surface to acquire depth data. The image processor may be to determine, based on the depth data, a viewpoint for an augmentation of a reflected image. The image generation engine may be to generate the augmentation for display on the reflective surface.

Abstract: Methods and pharmaceutical unit dosage forms for treating Parkinson's disease in a subject (e.g., an “off” episode in a subject having Parkinson's disease) are described. The pharmaceutical unit dosage forms are films having a first portion including particles containing an acid addition salt of apomorphine and a second portion containing a pH neutralizing agent. The pharmaceutical unit dosage forms can be flexible and have toughness greater than 100 g×mm. The methods can involve administering to a subject having Parkinson's disease a therapeutic dose sufficient to produce an apomorphine plasma concentrate of at least 2.64 ng/mL within 45 minutes after the administration. The subject may be identified as having low uptake, medium uptake, or high uptake of apomorphine administered via oral mucosa.