Abstract: An inductive position detector for stylus position measurement in a scanning probe comprises a coil board configuration located along a central axis in the probe. The coil board configuration includes a field generating coil configuration and top and bottom axial and rotary sensing coil configurations. The field generating coil configuration generates a changing magnetic flux, and coil signals indicate conductive disruptor element and/or stylus positions. At least one misalignment compensation element is configured to reduce a signal offset that results from a misalignment of at least one coil of the coil board configuration (e.g., the coil board configuration may comprise a printed circuit board with a plurality of layers in which the coils are located and the misalignment of the at least one coil may result from a registration error, such as within manufacturing tolerances, in a layer to layer registration as part of a fabrication process).

Abstract: Embodiments of the present invention are directed to security systems for securing an item of merchandise from theft or unauthorized removal. For example, the security system may include a sensor configured to be coupled to the item of merchandise, wherein the sensor includes an electrical connector. The security system also includes a base configured to removably support the sensor thereon, wherein the base includes an electronics module having a connector. The connector of the sensor and the connector of the electronics module are configured to electrically connect with one another when the sensor is supported on the base, and the sensor is configured to detect unauthorized removal of the item of merchandise from the sensor.

Abstract: Security systems and methods are provided. In one example, a security system includes at least one lock configured to protect one or more items from theft from a fixture, and a strike plate configured to be mounted to the fixture. The lock comprises a plunger pin configured to be moved between a locked state when in engagement with the strike plate and an unlocked state when disengaged from the strike plate, and the lock comprises a cam configured to move the plunger pin between the locked state and the unlocked state. The lock is configured to be moved between a latched position and an unlatched position while the lock is in the unlocked state, the fixture configured to be accessed in the unlatched position, and the strike plate is configured to move relative to the lock to align the lock with the strike plate when the lock is moved from the unlatched position to the latched position.

Abstract: One embodiment of the present invention sets forth a technique for performing frame interpolation. The technique includes generating (i) a first set of feature maps based on a first set of rendering features associated with a first key frame, (ii) a second set of feature maps based on a second set of rendering features associated with a second key frame, and (iii) a third set of feature maps based on a third set of rendering features associated with a target frame. The technique also includes applying one or more neural networks to the first, second, and third set of feature maps to generate a set of mappings from a first set of pixels in the first key frame to a second set of pixels in the target frame. The technique further includes generating the target frame based on the set of mappings.

Abstract: Various embodiments set forth systems and techniques for changing a face within an image. The techniques include receiving a first image including a face associated with a first facial identity; generating, via a machine learning model, at least a first texture map and a first position map based on the first image; rendering a second image including a face associated with a second facial identity based on the first texture map and the first position map, wherein the second facial identity is different from the first facial identity.

Abstract: A database system may include a database service and a separate distributed storage service. The database service (or a database engine head node thereof) may be responsible for query parsing, optimization, and execution, transactionality, and consistency, while the storage service may be responsible for generating data pages from redo log records and for durability of those data pages. For example, in response to a write request directed to a particular data page, the database engine head node may generate a redo log record and send it, but not the data page, to a storage service node. The storage service node may store the redo log record and return a write acknowledgement to the database service prior to applying the redo log record. The server node may apply the redo log record and other redo log records to a previously stored version of the data page to create a current version.

Abstract: In one embodiment, a method includes displaying, for one or more displays of a virtual VR device, a first output image comprising a passthrough view of a real-world environment. The method includes identifying, using one or more images captured by one or more cameras of the VR display device, a real-world object in the real-world environment. The method includes receiving a user input indicating a first dimension corresponding to the real-world object. The method includes automatically determining, based on the first dimension, a second and third dimension corresponding to the real-world object. The method includes rendering, for the one or more displays of the VR display device, a second output image of a VR environment. The VR environment includes a MR object that corresponds to the real-world object. The MR object is defined by the determined first, second, and third dimensions.

Abstract: This invention discloses a method of calculating insulin sensitivity factors for use in calculating insulin doses dynamically as a function of current blood glucose level based on a temporally-weighted average of the patient's total daily insulin dose, the pharmacodynamic and/or pharmacokinetic profile of the insulin used, and the patient's typical ratio of basal insulin to bolus insulin. When average total daily insulin and the other relevant variables are inserted into the equation, the result is a mathematical function that can be used to estimate the effects of each unit of insulin delivered on a patient's blood glucose level. This mathematical equation is valid over a wide range of diabetic conditions and could be widely used throughout the world at very little cost (and at considerable improvement) to the current technology in use for these purposes.

Abstract: This invention discloses a method of calculating insulin sensitivity factors for use in calculating insulin doses dynamically as a function of current blood glucose level based on the patient's total daily insulin dose. When the total daily insulin is inserted into the equation, the result is a mathematical function that can be used to estimate the effects of each unit of insulin delivered on a patient's blood glucose level at their current blood glucose level. This mathematical equation is valid over a wide range of diabetic conditions and could be widely used throughout the world at very little cost (and at considerable improvement) to the current technology.

Abstract: A mechanical outlet forms a Tee joint by using a strap to cinch a pipe element to a saddle having a duct. One end of the strap and saddle are attached via an adjustable fastener. Angularly oriented action and reaction surfaces on the saddle and strap engage one another when the fastener is tightened to place a tensile load on the strap which substantially conforms to the pipe element and compresses it against the saddle. The opposite ends of the strap and saddle engage one another via a yoke and enlarged head, allowing those ends to be disengaged to permit insertion of the pipe element between strap and saddle.

Abstract: A system includes a machine learning (ML) model-based video encoder configured to receive an uncompressed video sequence including multiple video frames, determine, from among the multiple video frames, a first video frame subset and a second video frame subset, encode the first video frame subset to produce a first compressed video frame subset, and identify a first decompression data for the first compressed video frame subset. The ML model-based video encoder is further configured to encode the second video frame subset to produce a second compressed video frame subset, and identify a second decompression data for the second compressed video frame subset. The first decompression data is specific to decoding the first compressed video frame subset but not the second compressed video frame subset, and the second decompression data is specific to decoding the second compressed video frame subset but not the first compressed video frame subset.

Abstract: A system includes a computing platform having a hardware processor and a memory storing a software code and a neural network (NN) having multiple layers including a last activation layer and a loss layer. The hardware processor executes the software code to identify different combinations of layers for testing the NN, each combination including candidate function(s) for the last activation layer and candidate function(s) for the loss layer. For each different combination, the software code configures the NN based on the combination, inputs, into the configured NN, a training dataset including multiple data objects, receives, from the configured NN, a classification of the data objects, and generates a performance assessment for the combination based on the classification. The software code determines a preferred combination of layers for the NN including selected candidate functions for the last activation layer and the loss layer, based on a comparison of the performance assessments.

Abstract: An electronic device displays a chart, which includes visual marks that represent calculated values derived from a set of data, and panes formed by intersection of rows and columns. A current focus is on a first visual mark at a first position. The device concurrently displays a chart-calculations-options area, which includes display options for the type of calculation and the type of data partitioning. Visual marks in a first set of visual marks are visually distinguished from other visual marks. The first set of visual marks includes the first visual mark, and corresponds to a first selected option for the type of calculation and a first selected option for the type of data partitioning. The device detects an input that selects a second option for the type of data partitioning. In response, the device visually distinguishes visual marks in a second set of visual marks in accordance with the selection.

Abstract: According to one implementation, an image enhancement system includes a computing platform including a hardware processor and a system memory storing a software code configured to provide a normalizing flow based generative model trained using an objective function. The hardware processor executes the software code to receive an input image, transform the input image to a latent space representation of the input image using the normalizing flow based generative model, and perform an optimization of the latent space representation of the input image to identify an enhanced latent space representation of the input image. The software code then uses the normalizing flow based generative model to reverse transform the enhanced latent space representation of the input image to an enhanced image corresponding to the input image.

Abstract: A system processing hard e executes a machine learning (ML) model-based video compression encoder to receive uncompressed video content and corresponding motion compensated video content, compare the uncompressed and motion compensated video content to identify an image space residual, transform the image space residual to a latent space representation of the uncompressed video content, and transform, using a trained image compression ML model, the motion compensated video content to a latent space representation of the motion compensated video content.

Abstract: An image processing system includes a computing platform having processing hardware, a display, and a system memory storing a software code. The processing hardware is configured to execute the software code to receive a three-dimensional (3D) digital model, surround the 3D digital model with multiple virtual cameras oriented toward the 3D digital model, and generate, using the virtual cameras, a multiple renders of the 3D digital model. The processing hardware is further configured to execute the software code to generate a UV texture coordinate space for a surface projection of the 3D digital model, and to transfer, using the multiple renders, lighting color values for each of multiple surface portions of the 3D digital model to the UV texture coordinate space.

Abstract: A system includes a computing platform having processing hardware, and a system memory storing software code and one or more machine learning (ML) model(s) trained using contrastive learning based on a similarity metric. The processing hardware is configured to execute the software code to receive input data including a plurality of content segments, map, using the ML model(s), each of the plurality of content segments to a respective embedding in a continuous vector space to provide a plurality of mapped embeddings, and perform one of a classification or a regression of the content segments using the plurality of mapped embeddings. The processing hardware is also configured to execute the software code to discover, based on the classification or the regression, at least one new label for characterizing the plurality of content segments.

Abstract: Embodiments of the present invention are directed to security systems for securing an item of merchandise from theft or unauthorized removal. For example, the security system may include a sensor configured to be coupled to the item of merchandise, wherein the sensor includes an electrical connector. The security system also includes a base configured to removably support the sensor thereon, wherein the base includes an electronics module having a connector. The connector of the sensor and the connector of the electronics module are configured to electrically connect with one another when the sensor is supported on the base, and the sensor is configured to detect unauthorized removal of the item of merchandise from the sensor.

Abstract: At a logging service, a representation of a transaction requested by a client is received. The transaction includes at least a first write operation directed to a data object at a first data store. Based at least in part on the contents of the representation and contents of a persistent log of the logging service, a determination is made that the requested transaction is to be committed. A log record corresponding to the first write operation is inserted into the persistent log. The first write is propagated to the first data store after the record has been inserted in the persistent log.

Abstract: Merchandise security systems and methods are provided. In one example, a merchandise security system includes a plurality of locks configured to protect one or more items from theft, each of the plurality of locks configured to wirelessly communicate with one or more mobile computing devices. Each of the plurality of locks is configured to establish communication with one or more of the mobile computing devices using a first communication protocol. Each of the plurality of locks is configured to subsequently communicate with one or more of the mobile computing devices using a second communication protocol, different than the first communication protocol, for identifying one or more of the plurality of locks to be unlocked. The one or more of the plurality of locks identified by the one or more mobile computing devices is configured to be unlocked in response to subsequently communicating with the one or more of the plurality of locks using the first communication protocol.