Abstract: Embodiments described herein provides a training mechanism that transfers the knowledge from a trained BERT model into a much smaller model to approximate the behavior of BERT. Specifically, the BERT model may be treated as a teacher model, and a much smaller student model may be trained using the same inputs to the teacher model and the output from the teacher model. In this way, the student model can be trained within a much shorter time than the BERT teacher model, but with comparable performance with BERT.

Abstract: Described herein are oral care compositions comprising—in relevant part—an effective amount of inulin. Methods of making and using these compositions are also described.

Abstract: A power down signal generator generates a power down signal. The power down signal generator includes a detection transistor, a resistor coupled in series with the detection transistor, and a compensation transistor coupled in parallel to the resistor. The detection transistor receives a first supply voltage in a first voltage domain and a current. A control voltage is generated across the resistor based on a first part of the current. The compensation transistor receives a bias voltage derived from a second supply voltage in a second voltage domain and sinks, based on the bias voltage, a second part of the current to maintain the control voltage within a predefined range. The generation of the power down signal is controlled based on the first supply voltage and the control voltage.

Abstract: Systems and methods are disclosed for switching between batch processing and real-time processing of time series data, with a system being configured to switch between a batch processing module and a real-time processing module to process time series data. The system includes an orchestration service to indicate when to switch, which may be based on a switching event identified by the orchestration service. In some implementations, the orchestration service identifies a switching event in incoming time series data to be processed. When a batch processing module is to be used to batch process time series data, the real-time processing module may be disabled, with the real-time processing module being enabled when it is used to process the time series data. In some implementations, the real-time processing module includes the same processing models as the batch processing module such that the two modules' outputs have a similar accuracy.

Abstract: A machine-learning model (MLM) is trained to identify a given item identifier for an item and shelf dimensions of an empty space associated with the item from training images of a shelf. After training, real-time images of the shelf are provided as input to the MLM and the output provided by the MLM includes empty space identifiers, dimensions or pixel coordinates for each empty space identifier, and an item identifier for each empty space identifier. A quantity of each item identifier is determined based on known shelf dimensions that the corresponding item should occupy on a fully stocked shelf and based on the corresponding empty space dimensions for the empty space associated with the item. A real-time report is sent to store personnel and/or published on a website monitored by the store personnel. The report identifies the items, the shelves, and restocking item quantities that need restocked in the store.

Abstract: Electrochemical devices, and associated materials and methods, are generally described. In some embodiments, an electrochemical device comprises an electroactive material. The electroactive material may comprise an alloy having a solid phase and a liquid phase that co-exist with each other. As a result, such a composite electrode may have, in some cases, the mechanical softness to permit both high energy densities and an improved current density as compared to, for example, a substantially pure metal electrode.

Abstract: An apparatus and method for geometrically correcting an arbitrary shaped input frame and generating an undistorted output frame. The method includes capturing arbitrary shaped input images with multiple optical devices and processing the images, identifying redundant blocks and valid blocks in each of the images, allocating an output frame with an output frame size and dividing the output frame into regions shaped as a rectangle, programming the apparatus and disabling processing for invalid blocks in each of the regions, fetching data corresponding to each of the valid blocks and storing in an internal memory, interpolating data for each of the regions with stitching and composing the valid blocks for the output frame and displaying the output frame on a display module.

Abstract: Techniques for extended network configuration conversion and reconfiguration are described. A network controller proceeds through a set of extended network nodes in an extended network and reconfigures ports in at the various nodes from a first configuration to a second configuration while preventing network traffic looping and maintaining data and management traffic connection to the nodes during the reconfiguration.

Abstract: There is disclosed in one example a network gateway device, including: a hardware platform including a processor and a memory; a network interface, including network interface hardware; and instructions encoded within the memory to instruct the processor to: receive from an endpoint device, via the network interface, a signed security posture data structure, the signed security posture data structure including information about a security posture of the endpoint device; cryptographically verify the signed security posture data structure; and according to the signed security posture data structure, assign a network security policy to the endpoint device.

Abstract: A method of producing hydrogen includes subliming a metal salt comprising a metal and a halide to yield a gas phase metal salt comprising the metal and the halide, and contacting the gas phase metal salt with a gas phase hydrocarbon to yield the metal in elemental form, carbon in elemental form, hydrogen gas, and a hydrogen halide comprising the halide.

Abstract: Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one example, a method for providing grouped travel data to a user interface of an application includes receiving travel data from an application running on a remote device; generating one or more travel data-based features from the travel data thereby creating featurized travel data; applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data; for each trip record in the featurized travel data: determining a plurality of trip record groups in which the trip record falls based on the plurality of patterns; and adding the trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme; and transmitting the trip record group to the application running on the remote device.

Abstract: Systems, methods, and computer-readable storage media for aggregating the outputs of multiple machine learning models, then using the output of yet another machine learning model as a multiplier to obtain a final prediction. A system can receiving a plurality of data sets, each data set being associated with at least one data type, and train machine learning models, each model associated with one or more of the different data types. Upon execution, the multiple machine learning models can each produce a prediction which is aggregated together to form an aggregated prediction. The multiplier from the additional machine learning model can then be applied to the aggregated prediction, resulting in a final prediction.

Abstract: This application relates to apparatus and methods for automatically determining item relevancy based on textual information. In some examples, a computing device receives a search query, and a plurality of items corresponding to the search query. The computing device may identify one or more features of the search query. The computing device may generate relevancy values for each of the items based on the features of the search query, and features of each of the plurality of items. For example, the computing device may generate, for each of the items, a plurality of relevance values, each relevance value generated based on a feature of the search query and corresponding features of the item. The computing device may transmit the generated relevancy values for the plurality of items. In some examples, the computing device may rank the plurality of items based on the generated relevancy values.

Abstract: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.

Abstract: Provided herein are systems and methods for vertical federated machine learning. Vertical federated machine learning can be performed by a central system communicatively coupled to a plurality of satellite systems. The central system can receive encrypted data from the satellite systems and apply a transformation that transforms the encrypted data into transformed data. The central system can identify matching values in the transformed data and generate a set of location indices that indicate one or more matching values in the transformed data. The central system can transmit instructions to the satellite systems to access data stored at locations indicated by the location indices and to train a machine learning model using data associated with said locations.

Abstract: Systems, methods, and computer-readable storage media for recommending loads for transport. A system can receive location coordinates for a transport vehicle, and further receive data regarding available loads which can be transported by the transport vehicle. The system can then filter the available loads based at least in part on the location coordinates. The system can also receive at least one carrier profile and at least one shipper profile. Finally, the system can execute a load recommendation algorithm using the preference filtered loads, the at least one carrier profile, and the at least one shipper profile as inputs, resulting in at least one load recommendation score for a load within the preference filtered loads.

Abstract: A method for processing RGB-Infrared (RGB-IR) sensor data is provided that includes receiving a raw RGB-IR image, determining whether to process the raw RGB-IR image in day mode or night mode, generating, when day mode is determined, an infrared (IR) subtracted raw Bayer image from the raw RGB-IR image and processing the IR subtracted raw Bayer image in an image signal processor (ISP), and generating, when night mode is determined, an IR image from the raw RGB-IR image.

Abstract: A method and apparatus for forming a semiconductor device are provided. The method includes thermally treating a substrate having one or more silicon nanosheets formed thereon. Thermally treating the substrate includes positioning the substrate in a processing volume of a first processing chamber, the substrate having one or more silicon nanosheets formed thereon. Thermally treating the substrate further includes heating the substrate to a first temperature of more than about 250 degrees Celsius, generating hydrogen radicals using a remote plasma source fluidly coupled with the processing volume, and maintaining the substrate at the first temperature while concurrently exposing the one or more silicon nanosheets to the generated hydrogen radicals. The generated hydrogen radicals remove residual germanium from the one or more silicon nanosheets.

Abstract: Various embodiments include a camera with a voice coil motor (VCM) actuator assembly to provide autofocus (AF) and/or optical image stabilization (OIS) movement. The VCM actuator assembly is configured to move an image sensor of the camera in three dimensions (e.g. X, Y, and Z) to provide the AF and/or OIS movements. The VCM actuator assembly is asymmetrical and includes an at least partially open side that allows an optical assembly of the camera to pass through the open side of the VCM actuator. In some embodiments, the optical assembly is part of a folded optics arrangement of the camera that includes one or more prisms/and or lenses.

Abstract: A prosthetic trial base includes a hinge and two levers connected to one another by the hinge. Each lever includes a tab extending proximally of the hinge and a fin extending distally of the hinge. The prosthetic trial base also includes a head movable between the tabs to force the tabs apart from one another. The trial base also includes a collar defining a bore in which the tabs are received and a lid that is connected to the levers. The head and is connected to the lid in a manner that enables the head to be driven relative to the lid.