Abstract: Systems are provided for facilitating the disclosed methods for performing event storage and diagnostic processing within a hybrid cloud environment. Event records are gathered and batched at an on-premises server. The event records are also appended with correlation vector data that enables the event records to be correlated with other events. The batch of event record batches are signed with a security key associated with a cloud storage container and the on-premises server is restricted to writing the batch of event records to the container. In some instances, the size of the batch is based on a duration of time for collecting records, which can be adjusted to accommodate for missing data.

Abstract: Disclosed herein is a method for facilitating unifying of multiple regulatory documents.

Abstract: Some embodiments address unique challenges of provisioning RPA software to airgapped hosts, and in particular, provisioning RPA machine learning components and training corpora of substantial size, and provisioning to multiple airgapped hosts having distinct hardware and/or software specifications. To reduce costs associated with data traffic and manipulation, some embodiments bundle together multiple RPA components and/or training corpora into an aggregate package comprising a deduplicated collection of software libraries. Individual RPA components are then automatically reconstructed from the aggregate package and distributed to airgapped hosts.

Abstract: Each tenant of a secure web gateway (SWG) is issued a secret key. A user accesses a unique secret key derived from the tenant's secret key and loads the secret key into an application which generates time-based one time passwords (TOTPs). When the SWG receives a connection request from a client and cannot decrypt the network traffic, the SWG challenges the client request and indicates an authentication scheme to be used. The client obtains user credentials, constructs a response to the challenge based on the authentication scheme, and issues a connection request to the SWG which indicates the response. The SWG determines an expected response based on a locally generated TOTP and the secret key of the corresponding tenant. If the expected response matches the provided response, the SWG authenticates the user, allows the connection request, and whitelists the client for a period longer than the lifetime of the TOTP.

Abstract: A plurality of portions of a content file are stored. It is determined that the content file has a size that is greater than a threshold size. In response to determining that the content file has the size that is greater than the threshold size, a plurality of component file metadata structures are generated for each of the plurality of portions of the content file. A component file metadata structure of the plurality of component file metadata structures corresponds to one of the portions of the content file. Each of the plurality of component file metadata structures includes corresponding metadata that enables data chunks associated with a corresponding portion of the content file to be located.

Abstract: An inode is associated with an incomplete file system operation to a file system object is determined based on an update intent stored in the inode. It is determined that a set of inodes is associated with the incomplete file system operation based on the update intent stored in the inode. The update intent indicates the set of inodes is associated with the incomplete file system operation. It is determined to complete the incomplete file system operation based on evaluating the set of inodes that is associated with the incomplete file system operation. Evaluating the set of inodes that is associated with the incomplete file system operation includes determining whether the set of inodes that is associated with the incomplete file system operation stores a corresponding update intent.

Abstract: A system for managing energy usage of equipment in a building network includes one or more processing circuits configured to select a plurality of points, equipment, spaces, or objects of the building network; perform a bulk modification of the plurality of the points, equipment, spaces, or objects of the building network by providing a bulk modification command via the building network; analyze time series data associated with the points, equipment, spaces, or objects of the building network using values provided via the bulk modification; and manage energy usage of the equipment based on a result of analyzing the time series data associated with the points, equipment, spaces, or objects of the building network.

Abstract: Novel tools and techniques are provided for implementing identification and removal of noise from documents, and, more particularly, to methods, systems, and apparatuses for implementing identification and removal of noise from financial documents using one or more machine learning algorithms. In various embodiments, computing system might receive a document. The computing system might detect, using one or more machine learning algorithms, that noise exists in the document. Based on the detection that noise exists in the document, the computing system might remove the noise from the document. Once the noise is removed from the document, the computing system might generate a copy of the document with the noise removed while retaining important or useful information contained in the document.

Abstract: A controller can securely publish an application of a tenant by securely extending a network fabric into the networks of the tenant with virtual private networks and NAT. After a tenant deploys an application into one or more networks of the tenant, the tenant can indicate select applications to publish. The network controller assigns a network address from the routable address space of the network fabric to the application and a network address aggregate to each application connector that will front an instance of the application, which securely extends the network fabric into the tenant network. The network controller configures NAT rules in the network fabric and on the application connector to create a route for traffic of the application through the network fabric to the application instance using a fully qualified domain name assigned to the application without exposing a private network address of the application instance and preserving security of other resource on the tenant network.

Abstract: In accordance with some embodiments, systems, methods, and media for high dynamic range imaging using single-photon and conventional image sensor data are provided. In some embodiments, the system comprises: first detectors configured to detect a level of photons proportional to incident photon flux; second detectors configured to detect arrival of individual photons; a processor programmed to: receive, from the first detectors, first values indicative of photon flux from a scene with a first resolution; receive, from the second detectors, second values indicative of photon flux from the scene with a lower resolution; provide a first encoder of a trained machine learning model first flux values based on the first values, provide the second encoder of the model second flux values; receive, as output, values indicative of photon flux from the scene; and generate a high dynamic range image based on the third plurality of values.

Abstract: Provided for herein are mutant VSV-G polypeptides, compositions comprising the same, and methods of using the same. Also provided for herein are polypeptides and compositions that bind to CD7 and uses thereof. Also provided for herein are polypeptides and compositions that bind to CD8 and uses thereof.

Abstract: In accordance with some embodiments, systems, methods, and media for generating digital images using low bit depth image sensor data are provided. In some embodiments, the system comprises: an image sensor; a processor programmed to: receive, from the image sensor, a series of low bit depth frames; provide low bit depth image information to a trained machine learning model comprising: a 3D convolutional layer; a 2D convolutional LSTM layer; a concatenation layer configured to generate a tensor that includes an output of the 2D convolutional LSTM layer and the low bit depth image information; and a 2D convolutional layer configured to generate an output based on the tensor; and generate a high bit depth image of a scene based on an output of the two-dimensional convolutional layer.

Abstract: A centralized platform for validation of machine learning (ML) models for robotic process automation (RPA) before deployment is provided. The validation platform may support multiple programming languages and build platforms in a single centralized platform. The platform may allow the user to upload the model in a predefined package structure. The platform may then validate the package for deployment.

Abstract: A switching amplifier includes: a driver circuit with differential inputs and differential outputs; and a fault detection circuit coupled to the differential outputs. The fault detection circuit includes: a power supply input; and a sense circuit coupled to the differential outputs. The sense circuit includes: a first resistor between the power supply input and a positive output of the differential outputs; a second resistor between the positive output and ground; a third resistor between the power supply input and a negative output of the differential outputs; and a fourth resistor between the negative output and ground. The fault detection circuit also includes an analyzer circuit coupled to the sense circuit and configured to determine a fault location relative to the differential outputs based on an output of the sense circuit.

Abstract: Friction reducers, fracturing fluid compositions and methods for treating subterranean formations, wherein friction reducer is a reacted, grafted or blend of natural gum and polyacrylamide having a molecular weight between 300,000 and 30,000,000.

Abstract: An electrochemical biosensor for detection of a calprotectin antigen in a sample solution. The electrochemical biosensor includes a reference electrode, a counter electrode, and a working electrode. The working electrode includes a surface coated with an anti-calprotectin antibody that binds to the calprotectin antigen in the sample solution. The electrochemical biosensor detects the concentration of the calprotectin antigen in the sample solution based on a resistance change at the surface of the working electrode.

Abstract: In some examples, a system may configured to execute the instructions to, based on the modular data of a peg modular, the item data and the draw strategy data, implement a set of modular placement optimization operations that generate a first modular dataset. In some examples, the set of modular placement optimization operations includes, determining, from a group of items, a combination of items to place onto the peg modular and, for each item of the combination of items, a placement position on the peg modular, and a number of facings. Moreover, the set of modular placement optimization operations includes generating the first modular dataset. Further, the system may be configured to execute the instructions to, based at least on the modular data the first modular dataset, implement a set of operations that determine whether to add additional facings.

Abstract: The disclosed system and method relate to automatically detecting empty spaces on retail store shelves, identifying the missing product(s) and causing the space to be replenished or restocked. For example, stores may use shelf-mounted imaging devices to capture images of shelves across the aisle from the imaging devices. The images captured by the imaging devices may be pre-processed to de-warp, de-skew images and stitch together multiple images in order to retrieve an image that captures a full width of a shelf. The pre-processed images can then be used to detect products on the shelf, identify the detected products. An iterative projection algorithm or product fingerprint matching algorithm can be used to identify the products. When an incorrect product listing or an empty shelf space is encountered, a message may be sent to the store employee to remedy the issue.

Abstract: A face mask including a base model of a mask body having a front side and a back side and defining an interior. The back side includes a face opening within which a portion of a user face including a nose and mouth can be inserted and encompassed. The face opening is defined by a perimeter and is modified to substantially correspond to contours of the user face based on scan of topographical facial features of the user face. The face mask is manufactured from a thermoplastic elastomer (TPE) using an Additive Manufacturing (AM) system.

Abstract: Systems and methods of autonomous farm-level control and optimization of wind turbines are provided. Exemplary embodiments comprise a site controller running on a site server. The site controller collects and analyzes yaw control data of a plurality of wind turbines and wind direction data relating to the plurality of wind turbines. The site server determines collective wind direction across an area occupied by the plurality of wind turbines and sends yaw control signals including desired nacelle yaw position instructions to the plurality of wind turbines. The site controller performs wake modeling analysis and determines desired nacelle positions of one or more of the plurality of wind turbines. The desired nacelle yaw position instructions systematically correct static yaw misalignment for all of the plurality of wind turbines. Embodiments of the disclosure provide means to perform whole site or partial site level controls of the yaw controllers of a utility scale wind turbine farm.