Abstract: A client machine writes to and reads from a virtual disk on a remote storage platform. Metadata is generated and stored in replicas on different metadata nodes of the storage platform. A modified log-structured merge tree is used to store and compact string-sorted tables of metadata. During file storage and compaction, a consistent file identification scheme is used across all metadata nodes. A fingerprint file is calculated for each SST (metadata) file on disk that includes hash values corresponding to regions of the SST file. To synchronize, the fingerprint files of two SST files are compared, and if any hash values are missing from a fingerprint file, then the key-value-timestamp triples corresponding to these missing hash values are sent to the SST file that is missing them. The SST file is compacted with the missing triples to create a new version of the SST file. The synchronization is bi-directional.

Abstract: The present invention relates to microencapsulated microbial cultures with high storage stability and methods for producing these. In particular, the present invention relates to microbial cultures formulated at high ratios of encapsulation matrix material to core material.

Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.

Abstract: The present invention relates to an anti-viral nanoformulation suitable for diverse surface application in form of hydrogel based nanoemulsion, or an aerosol spray. The present invention discloses incorporation of nanomaterials such as functionalized carbon quantum dots (F-CQDs), copper nanoparticles (CuNPs) or silver nanoparticles (AgNPs) into the hydrogel (HG) scaffold to act as chemical barrier and anti-viral agent against SARS-CoV-2 or Escherichia coli: phage MS2. The nanoformulation is coated on personal protective equipment's (PPE) and different surfaces such as glass, steel and plastic to control viral infection including corona virus infection.

Abstract: Techniques for analyzing audiovisual content, such as streaming content are disclosed. In one embodiment, a method is disclosed comprising obtaining a frame of audiovisual content, using a video decoder to decode compressed model weights of at least one trained model, using the at least one trained model with the decoded weights to analyze the frame and extract content based on the analysis, using the extracted content to make a determination that the audiovisual content comprises a category of content, and causing actionable information to be transmitted to a client device of a user in response to the determination that the audiovisual content comprises the category of content.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for quantized machine learning. A quantized input matrix is accessed at a layer of a neural network, and a first interim value is generated in an accumulator by performing matrix multiplication, using the accumulator, of the quantized input matrix and a quantized weight matrix associated with the layer of the neural network. The first interim value is normalized based at least in part on one or more leading sign bits of the first interim value, and the normalized first interim value is dequantized. A second interim value is generated by applying a rounded right-shift operation to the dequantized normalized first interim value, and activation data is generated by applying an activation function to the second interim value.

Abstract: The present invention concerns methods of using bioactive renal cell populations to provide regenerative effects to a native kidney for the treatment of chronic kidney disease.

Abstract: A client machine writes to and reads from a virtual disk on a remote storage platform. Metadata is generated and stored in replicas on different metadata nodes of the storage platform. A modified log-structured merge tree is used to store and compact string-sorted tables of metadata. During file storage and compaction, a consistent file identification scheme is used across all metadata nodes. A fingerprint file is calculated for each SST (metadata) file on disk that includes hash values corresponding to regions of the SST file. To synchronize, the fingerprint files of two SST files are compared, and if any hash values are missing from a fingerprint file, then the key-value-timestamp triples corresponding to these missing hash values are sent to the SST file that is missing them. The SST file is compacted with the missing triples to create a new version of the SST file. The synchronization is bi-directional.

Abstract: A clock relationship based re-convergence analysis method includes receiving, by a processing device, a register-transfer level (RTL) description of a design relating to an integrated circuit (IC). The method further includes identifying one or more clock domain crossing (CDC) synchronizers in the RTL description of the design, and generating a levelized topological abstract graph (LTAG) including a network of nodes. Each node includes a CDC synchronizer. The method further includes traversing the LTAG starting from a first output of the one or more CDC synchronizers, and responsive to determining that a first CDC synchronizer of the one or more CDC synchronizers is converging with a second CDC synchronizer, identifying a first potential convergence violation associated with the first CDC synchronizer and the second CDC synchronizer.

Abstract: Horizontally-scalable systems and methods for scheduling and optimizing deliveries are described herein. At least one scheduler is configured to receive a request to schedule a delivery for an origination location. The request includes a desired time slot. The request is compared to a persistent delivery snapshot for the origination location to determine availability of the desired time slot. An interim delivery snapshot including the requested delivery is generated when the persistent delivery snapshot has an available time slot corresponding to the desired time slot. At least one optimizer is configured to receive the interim delivery snapshot and generate an updated persistent delivery snapshot by applying an optimization process to the interim delivery snapshot.

Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for an approach to predictive structuring of electronic data. The system uses data mining and data clustering techniques using classification models to organize feature column groups comprising feature columns. The system identifies and flags feature column groups and/or feature columns based on regulatory data standards provided by regulatory bodies. Thereafter, data objects are imported into the system and prediction algorithms are implemented to characterize the feature columns containing the data objects.

Abstract: Methods of identifying an enriched heterogeneous renal cell population having therapeutic potential, enriched heterogeneous renal cell populations having therapeutic potential and uses for same.

Abstract: A wireless power transmitting system includes a power amplifier comprising a plurality of measurement points and a power amplifier controller integrated circuit (IC). In some embodiments, the power amplifier controller IC performs synchronization of the various components of the power amplifier, conducts impedance and temperature measurements at the measurements points, determines if a foreign object is within the transmission range of the wireless power transmitter, and decides if a shutdown of the power amplifier is needed. In some embodiments, the power amplifier controller IC determines through a transmitter controller IC, the presence of a foreign object within the transmission range and adjusts the power transmission to one or more receivers.

Abstract: A strongly consistent distributed data storage system comprises an enhanced metadata service that is capable of fully recovering all metadata that goes missing when a metadata-carrying disk, disks, and/or partition fail. An illustrative recovery service runs automatically or on demand to bring the metadata node back into full service. Advantages of the recovery service include guaranteed full recovery of all missing metadata, including metadata still residing in commit logs, without impacting strong consistency guarantees of the metadata. The recovery service is network-traffic efficient. In preferred embodiments, the recovery service avoids metadata service downtime at the metadata node, thereby reducing the impact of metadata disk failure on the availability of the system. The disclosed metadata recovery techniques are said to be “self-healing” as they do not need manual intervention and instead automatically detect failures and automatically recover from the failures in a non-disruptive manner.

Abstract: Disclosed is an OCT system, in particular a mid-IR OCT system, comprising: an upconversion module configured to frequency upconvert light received or receivable by the upconversion module and which is in a wavelength range between a first wavelength and a higher second wavelength, the difference between the second wavelength and the first wavelength being at least 300 nm or larger, and the wavelength range having a center wavelength at 2.8 ?m or larger, the center wavelength being defined by the average value between the first wavelength and the second wavelength.

Abstract: Examples of this description provide for a method. In some examples, the method includes determining, via a circuit, an estimated value of harmonic coupling in a transmitted signal via a feedback signal path that receives the transmitted signal and performing pre-compensation for the harmonic coupling based on the estimated value, the pre-compensation performed in the circuit.

Abstract: An example method is provided for detecting and classifying foreign objects, performed at a computer system having one or more processors and memory storing one or more programs configured for execution by the one or more processors. The method includes obtaining a plurality of electrical measurements while a wireless-power-transmitting antenna is transmitting different power beacons. The method also includes forming a feature vector according to the plurality of electrical measurements. The method further includes detecting a presence of one or more foreign objects prior to transmitting wireless power to one or more wireless power receivers by inputting the feature vector to trained one or more classifiers, wherein each classifier is a machine-learning model trained to detect foreign objects distinct from the one or more wireless power receivers.

Abstract: An example method is performed at a near-field charging pad with a processor, a power-transferring element, a signature-signal-receiving circuit, and the processor of the near-field charging pad is in communication with a data source that includes predefined signature signals that each identify one of (i) a wireless power receiver, (ii) an object other than a wireless power receiver, and (iii) a combination of a wireless power receiver and an object other than a wireless power receiver. The method includes: after sending a plurality of test radio frequency (RF) power transmission signals, detecting, using the signature-signal-receiving circuit, respective amounts of reflected power; generating, based on variations in the respective amounts of reflected power, a signature signal; and determining whether (i) an authorized wireless power receiver is present on the near-field charging pad and/or (ii) an object other than a wireless power receiver is present on the near-field charging pad.