Abstract: Provided herein is a method of functionalizing a particle, as well as methods of optically tracking a particle, isolating enveloped viral particles from a sample, quantifying enveloped virus particles in a sample and assessing enveloped viral aggregation in a sample. Kits are also provided. The particle is typically a viral particle.

Abstract: An integrated circuit (IC), comprising: a first gain stage configured to apply a first gain to a first signal to generate a first gain adjusted signal; a first converter configured to convert the first gain adjusted signal to a first converted signal; a second gain stage configured to apply a second gain to the first converted signal to generate a second gain adjusted signal; and a controller configured to coordinate changes in a first gain of the first gain stage and a second gain of the second gain stage to prevent transients in the second gain adjusted signal.

Abstract: A microphone device, comprising: a microphone configured to generate an audio signal; a natural speech detection module for detecting natural speech in the first audio signal; wherein, on detection of the natural speech in the first audio signal, the natural speech detection module is configured to output a trigger signal to a speech processing module to process the natural speech in the audio signal.

Abstract: An integrated circuit (IC), comprising: a first converter configured to convert a first signal to a first output signal; an internal gain stage configured to apply a first gain to the first signal or the first output signal; a first output pin for outputting a signal derived from the first output signal; control circuitry configured to: output a first internal gain control signal to the internal gain stage to update the first gain of the internal gain stage; and output a mask control signal to a mask output pin of the IC, wherein output of the mask control signal is delayed relative to output of the first internal gain control signal by a predetermined mask delay, the predetermined mask delay to compensate for signal chain delay between the first gain stage and the masking circuitry.

Abstract: Example embodiments relate to techniques for volumetric performance capture with neural rendering. A technique may involve initially obtaining images that depict a subject from multiple viewpoints and under various lighting conditions using a light stage and depth data corresponding to the subject using infrared cameras. A neural network may extract features of the subject from the images based on the depth data and map the features into a texture space (e.g., the UV texture space). A neural renderer can be used to generate an output image depicting the subject from a target view such that illumination of the subject in the output image aligns with the target view. The neural render may resample the features of the subject from the texture space to an image space to generate the output image.

Abstract: A power management integrated circuit (PMIC) for a system that comprises a signal path having a plurality of stages, the PMIC comprising: supply generation circuitry for generating supply voltages for the stages of the signal path; and controller circuitry configured to control operation of the supply generation circuitry based on a signal received from the signal path.

Abstract: A microphone device, comprising: a microphone configured to generate an audio signal; a natural speech detection module for detecting natural speech in the first audio signal; wherein, on detection of the natural speech in the first audio signal, the natural speech detection module is configured to output a trigger signal to a speech processing module to process the natural speech in the audio signal.

Abstract: Example embodiments relate to techniques for volumetric performance capture with neural rendering. A technique may involve initially obtaining images that depict a subject from multiple viewpoints and under various lighting conditions using a light stage and depth data corresponding to the subject using infrared cameras. A neural network may extract features of the subject from the images based on the depth data and map the features into a texture space (e.g., the UV texture space). A neural renderer can be used to generate an output image depicting the subject from a target view such that illumination of the subject in the output image aligns with the target view. The neural render may resample the features of the subject from the texture space to an image space to generate the output image.

Abstract: Systems and methods are directed to encoding and/or decoding of the textures/geometry of a three-dimensional volumetric representation. An encoding computing system can obtain voxel blocks from a three-dimensional volumetric representation of an object. The encoding computing system can encode voxel blocks with a machine-learned voxel encoding model to obtain encoded voxel blocks. The encoding computing system can decode the encoded voxel blocks with a machine-learned voxel decoding model to obtain reconstructed voxel blocks. The encoding computing system can generate a reconstructed mesh representation of the object based at least in part on the one or more reconstructed voxel blocks. The encoding computing system can encode textures associated with the voxel blocks according to an encoding scheme and based at least in part on the reconstructed mesh representation of the object to obtain encoded textures.

Abstract: Provided are a method and apparatus for inspecting an aircraft located on a ground surface. The apparatus includes a mobility system that transports the apparatus over the ground surface, and sensor circuitry supported by the mobility system. The sensor circuitry includes a proximity sensor that captures proximity data indicative of a presence of the aircraft adjacent to the apparatus, and a damage sensor that captures damage data in response to inspecting a portion of the aircraft for potential damage. A computing system executes computer-executable instructions to detect the presence of the aircraft based on the proximity data, and the potential damage to the aircraft based on the damage data. An indication system issues an alert in response to the potential damage being detected, and a transmitter transmits data indicative of the potential damage to a remote terminal for inclusion in a database entry specific to the aircraft.

Abstract: Provided are a method and apparatus for inspecting an aircraft located on a ground surface. The apparatus includes a mobility system that transports the apparatus over the ground surface, and sensor circuitry supported by the mobility system. The sensor circuitry includes a proximity sensor that captures proximity data indicative of a presence of the aircraft adjacent to the apparatus, and a damage sensor that captures damage data in response to inspecting a portion of the aircraft for potential damage. A computing system executes computer-executable instructions to detect the presence of the aircraft based on the proximity data, and the potential damage to the aircraft based on the damage data. An indication system issues an alert in response to the potential damage being detected, and a transmitter transmits data indicative of the potential damage to a remote terminal for inclusion in a database entry specific to the aircraft.

Abstract: An integrated circuit (IC), comprising: a first gain stage configured to apply a first gain to a first signal to generate a first amplified signal; a first converter configured to convert the first signal to a first output signal; a first output pin for outputting the first output signal; gain update circuitry configured to: output a first internal gain control signal to the first gain stage to update the first gain of the first gain stage, subsequently output a first external gain control signal to a second output pin of the IC, wherein output of the first external gain control signal is delayed relative to output of the first internal gain control signal by a first predetermined delay, the first predetermined delay to compensate for signal chain delay between the first gain stage and the first output pin.

Abstract: The present disclosure relates to circuitry comprising: digital circuitry configured to generate a digital output signal; and monitoring circuitry configured to monitor a supply voltage to the digital circuitry and to output a control signal for controlling operation of the digital circuitry, wherein the control signal is based on the supply voltage.

Abstract: The present disclosure relates to circuitry comprising: digital circuitry configured to generate a digital output signal; and monitoring circuitry configured to monitor a supply voltage to the digital circuitry and to output a control signal for controlling operation of the digital circuitry, wherein the control signal is based on the supply voltage.

Abstract: A deployable mine clearance device is provided and comprises one or more blade members that are movable from a stowed position to a deployed position.

Abstract: A system and method for nanoparticle synthesis employing an adhesiveless, deconstructable microfluidic mixing chip and an expandable wireless network of syringe pumps fluidly coupled to one or more microfluidic mixing chips. The wireless network of syringe pumps is controlled by a microprocessor with feedback from each of the syringe pumps in the network to allow for both individual, grouped and multiplexed control over the plurality of syringe pumps in the network.

Abstract: The present disclosure relates to a chip scale package (CSP) comprising: a first set of CSP contact balls or bumps; a second set of CSP contact balls or bumps; and a channel routing region, the channel routing region being devoid of any CSP contact balls or bumps.

Abstract: Embodiments for training a deep neural network by applying tags to enhanced versions of a raw data set are disclosed. In one embodiment, the raw data set may comprise, for example, images, and the method may comprise receiving the raw data set of images, applying an enhancement to the images, deriving tags based on the enhanced images while maintaining a correlation to the original raw images, and using the raw images and the tags to train a deep neural network.

Abstract: Example embodiments relate to techniques for volumetric performance capture with neural rendering. A technique may involve initially obtaining images that depict a subject from multiple viewpoints and under various lighting conditions using a light stage and depth data corresponding to the subject using infrared cameras. A neural network may extract features of the subject from the images based on the depth data and map the features into a texture space (e.g., the UV texture space). A neural renderer can be used to generate an output image depicting the subject from a target view such that illumination of the subject in the output image aligns with the target view. The neural render may resample the features of the subject from the texture space to an image space to generate the output image.

Abstract: A deployable mine clearance device is provided and comprises one or more blade members that are movable from a stowed position to a deployed position.