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: 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: 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: 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: 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.

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: Semantic analysis to resolve ambiguous user input data with respect to a request for data includes identifying tokens based on the text string, identifying a tables in a database, wherein a token indicates a column from a table and a token indicates a column from another table, identifying candidate join paths for joining tables, obtaining respective candidate results using the candidate join paths, outputting combined candidate results including values from the respective candidate results, obtaining second user input data indicating a selected value, identifying the request for data as unambiguous and identifying a selected join path based on the selected value, and, in response to identifying the request for data as unambiguous, outputting data responsive to the request for data using the selected join path.

Abstract: An apparatus includes a lens assembly that includes at least one lens that defines an optical axis, a lens holder coupled to the lens assembly, a substrate, an image sensor disposed on the substrate, and an actuator coupled between the lens holder and the substrate and configured to adjust a position of the substrate relative to the lens assembly to reposition the image sensor along the optical axis. The apparatus also includes a position sensor that includes a magnet and a magnetic field sensor. The position sensor is coupled to the substrate and the lens holder. The magnetic field sensor is configured to generate magnetic field data indicating a position of the substrate relative to the lens holder. The apparatus additionally includes circuitry configured to control the actuator based on the magnetic field data to place the image sensor within a depth of focus of the lens assembly.

Abstract: Aspects of the present disclosure relate to methods, systems, and apparatus for conducting a radical treatment operation on a substrate prior to conducting an annealing operation on the substrate. In one implementation, a method of processing semiconductor substrates includes pre-heating a substrate, and exposing the substrate to species radicals. The exposing of the substrate to the species radicals includes a treatment temperature that is less than 300 degrees Celsius, a treatment pressure that is less than 1.0 Torr, and a treatment time that is within a range of 8.0 minutes to 12.0 minutes. The method includes annealing the substrate after the exposing of the substrate to the species radicals. The annealing includes exposing the substrate to molecules, an anneal temperature that is 300 degrees Celsius or greater, an anneal pressure that is within a range of 500 Torr to 550 Torr, and an anneal time that is less than 4.0 minutes.

Abstract: Described herein are systems, methods, and software to manage power consumption in a software build environment. In one implementation, a monitoring service monitors power consumption information associated with a build environment for one or more software components. The monitoring service further identifies one or more trends associated with the power consumption information based at least on the power consumption information satisfying one or more criteria and generates a summary for display that indicates at least the one or more trends. The monitoring service may also identify and display as part of the summary one or more suggestions to improve power consumption based on the one or more trends.

Abstract: Disclosed herein are systems and methods for analyzing one or more package. In an embodiment, disclosed is a method comprising determining, by a sensor component of a package analysis device comprising a processor that executes computer executable components stored in a memory and the memory that stores computer executable components, a presence of a package and a set of dimensions of the package and extracting, by an image capturing component of the package analysis device, a set of image data from a package label based on a determined presence of the package.

Abstract: A computer-implemented system and method for generating time-based contextual graph in cloud computing environment is disclosed. The system receives, from computing devices, requests corresponding to security anomaly analysis of cloud infrastructure-based resources and applications. The system identifies parent node and node attributes corresponding to parent node in cloud infrastructure-based resources and/or applications, based on requests. Further, system determines hierarchical node relationships between parent node and child nodes, based on identified node attributes. Furthermore, system analyses risks in context of security anomaly associated with cloud infrastructure-based resources and/or applications, based on hierarchical node relationships between parent node and child nodes. Further, system generates time-based contextual graph corresponding to analyzed risks in context of security anomaly, based on determined hierarchical node relationships.

Abstract: An apparatus and method for expanded cohort application of machine-learning classifier methods based on a seed data set. The apparatus comprises at least a processor configured to receive at least a labeled seed set, train an embedding model based on the seed data, determine a plurality of vector representations for both the seed set and the target data, identify commonalities between the seed vector representation and the target vector, and provide the vector training data to a supervised machine-learning application for subsequent classifications.

Abstract: An initiator device can broadcast a witness request to one or more authentication devices. The one or more authentication devices can then determine an assurance level from a range of assurance levels and determine a token share corresponding to the assurance level. The initiator device can then receive, from the one or more authentication devices, at least one witness response comprising the token share corresponding to the assurance level. The initiator device can generate an authentication token using a set of token shares. The initiator device can then transmit the authentication token to an authentication server, wherein the authentication server verifies the authentication token.

Abstract: Frames from an image stream or streams are processed by independently operating digital signal processors (DSPs), with only frame checking microprocessors operating in a lockstep mode. In one example, two DSP are operating on alternate frames. Each DSP processes the frames and produces prediction values for the next frame. The lockstep microprocessors develop their own next frame prediction. The lockstep processors compare issued frames and previously developed predicted frames for consistency. If the predictions are close enough, the issued frame passes the test. The lockstep processors then compare the issued frame to the preceding two frames for a similar consistency check. If the prior frames are also close enough, the issued frame is acceptable. In another example, hardware checkers are provided to compare the present frame with a larger number of prior frames. The hardware checkers provide comparison results to the lockstep processors to compare against allowable variation limits.

Abstract: In one aspect, an example method includes (i) providing, by a playback device, replacement media content for display; (ii) determining, by the playback device that while the playback device is displaying the replacement media content a remote control transmitted an instruction to a media device that provides media content to the playback device; (iii) determining, by the playback device, a playback-modification action corresponding to the instruction and the media device; and (iv) modifying, by the playback device, playback of the replacement media content in accordance with the playback-modification action.

Abstract: A lift device includes a chassis, a platform configured to support an operator, the platform including an attachment point configured to engage a lanyard to secure the operator to the platform, a lift assembly coupling the platform to the chassis and configured to raise the platform relative to the chassis, a sensor configured to provide sensor data indicative of engagement between the attachment point and the lanyard, and a controller operatively coupled to the sensor. The controller is configured to determine, based on the sensor data, if the lanyard is engaged with the attachment point. In response to a determination that the lanyard is not engaged with the attachment point, the controller is configured to at least one of (a) activate an alarm to provide a notification to alert the operator that the lanyard is not engaged with the attachment point or (b) limit movement of the lift device.