Abstract: A method of delivering a substance to a target location of a subject using an insertion apparatus having a base structure with at least one lumen extending along a length thereof, a cladding layer circumferentially surrounding the base structure and an optically-transmissive coating circumferentially surrounding an exterior of the base layer or an exterior of the cladding layer. The method includes inserting the insertion apparatus into the subject to access the target location, transmitting to tissue adjacent the insertion apparatus, a first optical radiation using the optically-transmissive coating or the cladding layer, receiving, from the tissue, at a processor, data characterizing a second optical radiation via the other of the optically-transmissive coating or the cladding layer based on the first optical radiation and determining whether a tip of the base structure is at the target location, and, if so, releasing a substance into or near the target location.

Abstract: A hinged system includes a preassembled hinge module for pivotally coupling a first component to a second component. The preassembled hinge module includes a shaft, a torque element frictionally engaging the shaft, and a housing. The housing includes a cover, a side wall, and a rear wall that define an interior space enclosed within the housing. The interior space receives the torque element inside the housing. The cover defines a first aperture, and the rear wall defines a second aperture, the first aperture and the second aperture aligned with a pivot axis of the shaft. The shaft extends through at least the first aperture, the interior space, and the second aperture. The shaft is separate from, and configured to be mounted to, the first component. The housing is separate from, and configured to be mounted to, the second component.

Abstract: A system and method for performing autofill of fields in a web page are disclosed. The method may include: obtaining user data associated with a user device used to access one or more web pages from a web server; obtaining site data from data communication messages between the user device and the web server; determining, using a page classifier module, if a current web page from the one or more web pages includes at least one input field for autofill; when the current web page is determined to include at least one input field for autofill: using a field classifier module to identify one or more input fields for autofill from the at least one input field; generating, based on one or both of the user data and site data, one or more values for the one or more input fields; and performing an autofill of the one or more input fields with the one or more values.

Abstract: A modular electronic gaming machine is provided. The modular electronic gaming machine includes a structural core including a gaming controller and a plurality of coupling mechanisms including a first coupling mechanism. The first coupling mechanism comprises an electrical connector. The first coupling mechanism is configured to couple to a first peripheral device to provide electrical power and structural support to the first peripheral device. The first coupling mechanism is configured to releasably couple to the first peripheral device.

Abstract: An apparatus of operating a neural network is configured to compress one or more of activations or weights in one or more layer of the neural network. The activations and/or weights may be compressed based on a compression ratio or a system event. The system event may be a bandwidth condition, a power condition, a debug condition, a thermal condition or the like. The apparatus may operate the neural network to compute an inference based on the compressed activations or the compressed weights.

Abstract: One or more techniques and/or systems are disclosed for providing autonomous or semi-autonomous braking with a brake system. The brake system includes at least one brake, a main pump, a backup energy source, a primary valve set having a primary control valve and enable valve, and a secondary valve set having a secondary control valve and an enable valve, wherein the at least one brake, the main pump, the backup energy source, the primary valve set, and the secondary valve set are in fluid communication. The brake system further includes a control unit configured to control operation of the main pump, the backup energy source, the primary valve set, and the secondary valve set in response to one of a normal braking condition and a failure braking condition.

Abstract: Systems, methods, and non-transitory media are provided for predictive camera initialization. An example method can include obtain, from a first image capture device, image data depicting a scene; classify the scene based on the image data; based on the classification of the scene, predict a camera use event; and based on the predicted camera use event, adjust a power mode of at least one of the first image capture device and a second image capture device.

Abstract: Embodiments described herein relate generally to plant extract compositions and methods to isolate cutin-derived monomers, oligomers, and mixtures thereof for application in agricultural coating formulations, and in particular, to methods of preparing plant extract compositions that include functionalized and non-functionalized fatty acids and fatty esters (as well as their oligomers and mixtures thereof), which are substantially free from accompanying plant-derived compounds (e.g., proteins, polysaccharides, phenols, lignans, aromatic acids, terpenoids, flavonoids, carotenoids, alkaloids, alcohols, alkanes, and aldehydes) and can be used in agricultural coating formulations.

Abstract: Embodiments described herein are generally directed to improvements relating to power, latency, bandwidth and/or performance issues relating to GPU processing/caching. According to one embodiment, a system includes a producer intellectual property (IP) (e.g., a media IP), a compute core (e.g., a GPU or an AI-specific core of the GPU), a streaming buffer logically interposed between the producer IP and the compute core. The producer IP is operable to consume data from memory and output results to the streaming buffer. The compute core is operable to perform AI inference processing based on data consumed from the streaming buffer and output AI inference processing results to the memory.

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media to provide haptic feedback in electronic devices based on contextual awareness. According to some aspects, a method of controlling haptic feedback includes obtaining environmental information indicative of an environment of a computing device from at least one sensor and determining a context associated with the mobile device based on the environmental information. The method may include determining haptic feedback for output by the mobile device based on the context.

Abstract: Systems, methods, and non-transitory media are provided for adjusting camera settings based on event data. An example method can include obtaining, via an image capture device of a mobile device, an image depicting at least a portion of an environment; determining a match between one or more visual features extracted from the image and one or more visual features associated with a keyframe; and based on the match, adjusting one or more settings of the image capture device.

Abstract: Systems, methods, and non-transitory media are provided for predictive camera initialization. An example method can include obtain, from a first image capture device, image data depicting a scene; classify the scene based on the image data; based on the classification of the scene, predict a camera use event; and based on the predicted camera use event, adjust a power mode of at least one of the first image capture device and a second image capture device.

Abstract: Systems and techniques are provided for processing one or more frames. For example, a process can include obtaining a first plurality of frames associated with a first settings domain from an image capture system, wherein the first plurality of frames is captured prior to obtaining a capture input. The process can include obtaining a reference frame associated with a second settings domain from the image capture system, wherein the reference frame is captured proximate to obtaining the capture input. The process can include obtaining a second plurality of frames associated with the second settings domain from the image capture system, wherein the second plurality of frames is captured after the reference frame. The process can include, based on the reference frame, transforming at least a portion of the first plurality of frames to generate a transformed plurality of frames associated with the second settings domain.

Abstract: Embodiments described herein are generally directed to improvements relating to power, latency, bandwidth and/or performance issues relating to GPU processing/caching. According to one embodiment, a system includes a producer intellectual property (IP) (e.g., a media IP), a compute core (e.g., a GPU or an AI-specific core of the GPU), a streaming buffer logically interposed between the producer IP and the compute core. The producer IP is operable to consume data from memory and output results to the streaming buffer. The compute core is operable to perform AI inference processing based on data consumed from the streaming buffer and output AI inference processing results to the memory.

Abstract: Systems and techniques are described for imaging. An imaging system includes an image sensor with a plurality of photodetectors, grouped into a first group of photodetectors and a second group of photodetectors. The imaging system can reset its image sensor. The imaging system exposes its image sensor to light from a scene. The plurality of photodetectors convert the light into charge. The imaging system stores analog photodetector signals corresponding to the charge from each the photodetectors. The imaging system reads first digital pixel data from a first subset of the analog photodetector signals corresponding to the first group of photodetectors without reading second digital pixel data from a second subset of the analog photodetector signals corresponding to the second group of photodetectors. The imaging system generates an image of the scene using the first digital pixel data.

Abstract: Techniques related to adaptive quantization matrix selection using machine learning for video coding are discussed. Such techniques include applying a machine learning model to generate an estimated quantization parameter for a frame and selecting a set of quantization matrices for encode of the frame from a number of sets of quantization matrices based on the estimated quantization parameter.

Abstract: Systems, methods, and non-transitory media are provided for adjusting camera settings based on event data. An example method can include obtaining, via an image capture device of a mobile device, an image depicting at least a portion of an environment; determining a match between one or more visual features extracted from the image and one or more visual features associated with a keyframe; and based on the match, adjusting one or more settings of the image capture device.

Abstract: Embodiments described herein provided for an instruction and associated logic to enable a processing resource including a tensor accelerator to perform optimized computation of sparse submatrix operations. One embodiment provides a parallel processor comprising a processing cluster coupled with the cache memory. The processing cluster includes a plurality of multiprocessors coupled with a data interconnect, where a multiprocessor of the plurality of multiprocessors includes a tensor core configured to load tensor data and metadata associated with the tensor data from the cache memory, wherein the metadata indicates a first numerical transform applied to the tensor data, perform an inverse transform of the first numerical transform, perform a tensor operation on the tensor data after the inverse transform is performed, and write output of the tensor operation to a memory coupled with the processing cluster.

Abstract: Systems and techniques are provided for processing one or more frames. For example, a process can include obtaining a first plurality of frames associated with a first settings domain from an image capture system, wherein the first plurality of frames is captured prior to obtaining a capture input. The process can include obtaining a reference frame associated with a second settings domain from the image capture system, wherein the reference frame is captured proximate to obtaining the capture input. The process can include obtaining a second plurality of frames associated with the second settings domain from the image capture system, wherein the second plurality of frames is captured after the reference frame. The process can include, based on the reference frame, transforming at least a portion of the first plurality of frames to generate a transformed plurality of frames associated with the second settings domain.

Abstract: Systems, methods, and computer-readable media are provided for providing pose estimation in extended reality systems. An example method can include tracking, in a lower-power processing mode using a set of lower-power circuit elements on an integrated circuit, a position and orientation of a computing device during a lower-power processing period, the set of lower-power circuit elements including a static random-access memory (SRAM); suspending, based on a triggering event, the tracking in the lower-power processing mode; initiating a higher-power processing mode for tracking the position and orientation of the computing device during a higher-power processing period; and tracking, in the higher-power processing mode using a set of higher-power circuit elements on the integrated circuit and a dynamic random-access memory (DRAM), the position and orientation of the computing device during the higher-power processing period.