Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for sparse tensor storage for neural network accelerators. An example apparatus includes sparsity map generating circuitry to generate a sparsity map corresponding to a tensor, the sparsity map to indicate whether a data point of the tensor is zero, static storage controlling circuitry to divide the tensor into one or more storage elements, and a compressor to perform a first compression of the one or more storage elements to generate one or more compressed storage elements, the first compression to remove zero points of the one or more storage elements based on the sparsity map and perform a second compression of the one or more compressed storage elements, the second compression to store the one or more compressed storage elements contiguously in memory.

Abstract: A device including a clot engaging device having a collapsed delivery configuration and an expanded deployment configuration. The device can include a plurality of struts defining a plurality of cells; a seam extending along at least a portion of a length of a distal end of the clot engaging device, wherein the seam comprises a pattern configured for gripping a clot and extends between cells of the plurality of cells; and a distal scaffolding region being distally tapered, wherein the distal scaffolding region comprises cells smaller than cells of a remainder of the clot engaging device.

Abstract: Disclosed is a thermal desorber assembly for desorbing substances collected on a high-volume sampling (HVS) filter. The assembly includes, among other elements, a filter holder for securing a HVS filter within the assembly, a desorber body, and an insulating enclosure. The design of the thermal desorber assembly is such that it can accommodate a variety of different types of HVS filter media. Also described herein is a system comprising the thermal desorber assembly and method of using the assembly.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to debug a hardware accelerator such as a neural network accelerator for executing Artificial Intelligence computational workloads. An example apparatus includes a core with a core input and a core output to execute executable code based on a machine-learning model to generate a data output based on a data input, and debug circuitry coupled to the core. The debug circuitry is configured to detect a breakpoint associated with the machine-learning model, compile executable code based on at least one of the machine-learning model or the breakpoint. In response to the triggering of the breakpoint, the debug circuitry is to stop the execution of the executable code and output data such as the data input, data output and the breakpoint for debugging the hardware accelerator.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for sparse tensor storage for neural network accelerators. An example apparatus includes sparsity map generating circuitry to generate a sparsity map corresponding to a tensor, the sparsity map to indicate whether a data point of the tensor is zero, static storage controlling circuitry to divide the tensor into one or more storage elements, and a compressor to perform a first compression of the one or more storage elements to generate one or more compressed storage elements, the first compression to remove zero points of the one or more storage elements based on the sparsity map and perform a second compression of the one or more compressed storage elements, the second compression to store the one or more compressed storage elements contiguously in memory.

Abstract: A clot retrieval device for removing clot from a blood vessel, including a shaft; a plurality of expandable bodies distal of the shaft, each expandable body comprising a plurality of scaffolding segments forming closed cells, wherein at least one of the clot scaffolding segments terminates in a distal apex free from connection to an adjacent closed cell; and a plurality of clot inlet mouths between expandable bodies through which clot may pass and enter the device.

Abstract: The application provides anti-4-1BB monoclonal antibodies, antigen binding portions thereof, therapeutic compositions thereof and/or nucleic acid encoding the same, and their use to upregulate the function of T-cells to enhance cell-mediated immune responses in the treatment of cancer and other T-cell dysfunctional disorders.

Abstract: The application provides anti-4-1BB monoclonal antibodies, antigen binding portions thereof, therapeutic compositions thereof and/or nucleic acid encoding the same, and their use to upregulate the function of T-cells to enhance cell-mediated immune responses in the treatment of cancer and other T-cell dysfunctional disorders.

Abstract: The system includes a modulatable illumination source configured to illuminate a surface of a sample disposed on a sample stage, a detector configured to detect illumination emanating from a surface of the sample, illumination optics configured to direct illumination from the modulatable illumination source to the surface of the sample, collection optics configured to direct illumination from the surface of the sample to the detector, and a modulation control system communicatively coupled to the modulatable illumination source, wherein the modulation control system is configured to modulate a drive current of the modulatable illumination source at a selected modulation frequency suitable for generating illumination having a selected coherence feature length. In addition, the present invention includes the time-sequential interleaving of outputs of multiple light sources to generate periodic pulse trains for use in multi-wavelength time-sequential optical metrology.

Abstract: Various embodiments of a spray measurement system having a jig device that allows measuring spray output of one or more spray nozzles and determine spray distribution patterns of the spray nozzles are disclosed.

Abstract: Disclosed herein are mass spectrometers having segmented electrodes and associated methods. According to an aspect, an apparatus or mass spectrometer includes an ion source configured to generate ions from a sample. The apparatus also includes a detector configured to detect a plurality of mass-to-charge ratios associated with the ions. Further, the apparatus includes segmented electrodes positioned between the ion source and the detector. The apparatus also includes a controller configured to selectively apply a voltage across the segmented electrodes for forming a predetermined electric field profile.

Abstract: Various embodiments of a spray measurement system having a jig device that allows measuring spray output of one or more spray nozzles and determine spray distribution patterns of the spray nozzles are disclosed.

Abstract: Various embodiments of a spray measurement system having a jig device that allows measuring spray output of one or more spray nozzles and determine spray distribution patterns of the spray nozzles are disclosed.

Abstract: Various embodiments of a spray measurement system having a jig device that allows measuring spray output of one or more spray nozzles and determine spray distribution patterns of the spray nozzles are disclosed.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Disclosed herein are mass spectrometers having segmented electrodes and associated methods. According to an aspect, an apparatus or mass spectrometer includes an ion source configured to generate ions from a sample. The apparatus also includes a detector configured to detect a plurality of mass-to-charge ratios associated with the ions. Further, the apparatus includes segmented electrodes positioned between the ion source and the detector. The apparatus also includes a controller configured to selectively apply a voltage across the segmented electrodes for forming a predetermined electric field profile.

Abstract: Multi-sensor compressive imaging systems can include an imaging component (such an an RF, microwave, or mmW metamaterial surface antenna) and an auxiliary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Abstract: A content extraction system can analyze a network data stream communicated among nodes of a network. The content extraction system can include non-transitory computer storage configured to store at least a portion of the network data stream and a hardware processor in communication with the non-transitory computer storage. The hardware processor can be programmed to access the at least a portion of the network data stream, apply a machine learning technique to the at least a portion of the network data stream to extract an information content, and store the information content in the non-transitory computer storage. In various implementations, the content extraction system can be applied to geographic information services, prescription medication information, or the Internet of Things.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.