Abstract: Embodiment of the present disclosure include an apparatus and method for executing a query, and a system for processing data by using the same. In some embodiments an apparatus for executing a query includes a processor receiving a query and returning a result value. The apparatus may further comprise a storage storing data on the query. The storage of the apparatus may include a first storage temporarily storing data required for the execution of the query. The storage may further include second storage constructing a DB and storing data, wherein the processor combines a plurality of primitives in the query to configure a composite primitive, generates a binary code for the composite primitive in run time, and executes a generated code.

Abstract: In an example, an apparatus comprises a plurality of execution units, and a cache memory communicatively coupled to the plurality of execution units, wherein the cache memory is structured into a plurality of sectors, wherein each sector in the plurality of sectors comprises at least two cache lines. Other embodiments are also disclosed and claimed.

Abstract: In some embodiments, the present specification describes methods for displaying a three-dimensional image of an isolated threat object or region of interest with a single touch or click and providing spatial and contextual information relative to the object, while also executing a view dependent virtual cut-away or rendering occluding portions of the reconstructed image data as transparent. In some embodiments, the method includes allowing operators to associate audio comments with a scan image of an object. In some embodiments, the method also includes highlighting a plurality of voxels, which are indicative of at least one potential threat item, in a mask having a plurality of variable color intensities, where the intensities may be varied based on the potential threat items.

Abstract: In an example, an apparatus comprises a plurality of execution units, and a cache memory communicatively coupled to the plurality of execution units, wherein the cache memory is structured into a plurality of sectors, wherein each sector in the plurality of sectors comprises at least two cache lines. Other embodiments are also disclosed and claimed.

Abstract: A method and system for generating user driven adaptive object visualizations using Generative Adversarial Network (GAN) models is disclosed. The method includes the steps of generating a first set of object vectors for an object based on at least one input received from a user. The first set of vectors corresponds to a first set of visualizations for the object The method further includes capturing at least one tacit reaction type of the user in response to user interaction with each of the first set of visualizations, computing a score for each portion of each of the first set of visualizations, identifying a plurality of portions from at least one of the first set of object visualizations, generating a second set of object vectors, and processing the second set of object vectors sequentially through a plurality of GAN models to generate a final object visualization of the object.

Abstract: A virtual reality system providing a virtual robotic surgical environment, and methods for using the virtual reality system, are described herein. Within the virtual reality system, various user modes enable different kinds of interactions between a user and the virtual robotic surgical environment. For example, one variation of a method for facilitating navigation of a virtual robotic surgical environment includes displaying a first-person perspective view of the virtual robotic surgical environment from a first vantage point, displaying a first window view of the virtual robotic surgical environment from a second vantage point and displaying a second window view of the virtual robotic surgical environment from a third vantage point. Additionally, in response to a user input associating the first and second window views, a trajectory between the second and third vantage points can be generated sequentially linking the first and second window views.

Abstract: A method, includes saving in-flight data from an aircraft during a simulated training exercise, wherein the in-flight data includes geospatial locations of the aircraft, positional attitudes of the aircraft, and head positions of a pilot operating the aircraft, saving simulation data relating to a simulated virtual object presented to the pilot as augmented reality content in-flight, wherein the virtual object was programmed to interact with the aircraft during the simulated training exercise and representing the in-flight data from the aircraft and the simulation data relating to the simulated virtual object as a replay of the simulated training exercise.

Abstract: An augmented reality system, includes a head-mounted see-through optic adapted to present digital content viewable by a user and having a transparency that allows the user to see though to the surrounding environment, a non-visual tracking system adapted to identify and track objects in a surrounding environment that cannot be seen visually, a training simulation system adapted to present a virtual training object on a display on the non-visual tracking system and a virtual content presentation system adapted to present digital content in the optic when the distance between the optic and the virtual training object indicates the object is in visual range.

Abstract: A method for enabling an labeling capability for training and validation data at an edge device to support neural network transfer learning capability is provided. The method includes: inputting candidate data into a first neural network to filter the candidate data by selecting a subset of candidate data based on an output of the first neural network, performing a confidence upgrade check on the subset of candidate data by: (1) performing a data consistency check by generating augmented data from each candidate data from among the subset of candidate data, (2) inputting the subset of candidate data into a second neural network that is trained using data from an environment to determine a second confidence condition, and (3) performing a clustering on the subset of candidate data, and automatically labeling, as training data, the subset of candidate data in accordance with a confidence level label.

Abstract: Computer systems and methods of spatially-indexing agricultural content involve inputting agricultural content comprising spatial data and spatially-indexing the agricultural are disclosed herein. In an example, the computer systems and methods involve identifying from the spatial data a set of geospatial boundaries for the agricultural content. The computer systems and methods also involve indexing the agricultural content to the identified geospatial boundaries. The computer systems and methods further involve cross-referencing the indexed agricultural data with a plurality of sets of geospatial boundaries for a plurality of fields. The computer systems and methods additionally involve indexing the agricultural content to one or more of the plurality of fields when the cross-referencing identifies an overlap between the geospatial boundaries of the indexed agricultural data and one or more of the geospatial boundaries of the plurality of fields.

Abstract: In one embodiment, a method includes, by one or more computing systems: receiving one or more non-video inputs, where the one or more non-video inputs include at least one of a text input, an audio input, or an expression input, accessing a K-NN graph including several sets of nodes, where each set of nodes corresponds to a particular semantic context out of several semantic contexts, determining one or more actions to be performed by a digital avatar based on the one or more identified semantic contexts, generating, in real-time in response to receiving the one or more non-video inputs and based on the determined one or more actions, a video output of the digital avatar including one or more human characteristics corresponding to the one or more identified semantic contexts, and sending, to a client device, instructions to present the video output of the digital avatar.

Abstract: Described are systems and methods for automatically generating, by a computing device, a regular expression that matches a list of input strings. A method includes identifying a set of baseline regular expression classes that match a portion of an input string of the list of input strings. The method further generates a current regular expression as a sequence of baseline regular expression classes from the set of baseline regular expression classes based on matching baseline regular expression classes to characters of a first input string of the list of input strings. The method further determines whether the current regular expression matches all input strings of the list of input strings, and if it does not, the method regenerates a portion of the current regular expression that occurs after an earliest character, in order, of one of the one or more input strings, that does not match the current regular expression.

Abstract: Systems and methods to generate content styles for animation, and to adjust content styles by adjusting virtual style sliders for the content styles are disclosed. Exemplary implementations may: receive, from client computing platforms associated with users, style assignments for final compiled animation scenes; provide a style dial model with the style assignments and the corresponding final compiled animation scenes; train, from i) the style assignments, ii) the corresponding final compiled animation scenes, and iii) animation scene information that defines the final compiled animation scenes, the style dial model to determine individual style correlation values; receive user entry of levels of correlation to individual ones of multiple different content styles; input the animation scene and the levels of correlation to a model that outputs adjusted animation scene information that defines a styled compiled animation scene that has the selected levels of correlation to the individual content styles.

Abstract: Provided are techniques for exploiting object tags in order to produce a work order across several backup engines for a backup job. A selection of tags for an object is received. A work order for the object is created using the tags. The work order is stored with a virtual server that stores the object, wherein a data mover of a backup engine retrieves the work order from the virtual server to back up the object.

Abstract: A regular expression that is able to be used to identify an item as belonging to a specific group among a plurality of different groups is determined. The regular expression is tested against a sampling of items known to belong to the specific group to determine a true positive metric. The regular expression is tested against a sampling of items known to belong to other groups among the plurality of different groups outside the specific group to determine a false positive metric. An accuracy metric of the determined regular expression is calculated based at least in part on the true positive metric and the false positive metric. The accuracy metric is provided for use in evaluating the regular expression.

Abstract: A system for facilitating provisioning of a virtual experience is disclosed. The system may include a communication device configured for receiving at least one first sensor data from at least one first sensor of a first vehicle and at least one second sensor data from at least one second sensor of a second vehicle. Further, the communication device may be configured for transmitting at least one first presentation data to at least one first presentation device and at least one second presentation data to at least one second presentation device. Further, the at least one presentation device may be configured for presenting the at least one first presentation data and the at least one second presentation data. Further, the system may include a processing device configured for generating the at least one first presentation data and the at least one second presentation data.

Abstract: There is provided an information processing device including an image acquisition unit that acquires a captured image of a real space from an image capture device, a setting unit that sets, in association with the real space, an augmented reality space that virtually augments the real space depicted in the captured image, the augmented reality space differing according to related information that relates to the captured image, and a control unit that causes an image of a virtual object placed for each user within the augmented reality space to be displayed on a screen.

Abstract: This application relates to systems, methods, devices, and other techniques that can be utilized to generate models for a camera system simulation in a retail environment and perform simulation to perfect these models.

Abstract: In some examples, an apparatus obtains source layer pixels, such as those of a content image and first destination layer pixels, such as those of a destination image. The first destination layer pixels have associated alpha values. The apparatus obtains information that indicates a first blending color format for the alpha values. The first blending color format is different from a first destination layer color format for the first destination layer pixels and an output color format for a display. The apparatus converts the source and/or first destination layer pixels to the first blending color format. The apparatus generates first alpha blended pixels based on alpha blending the source layer pixels with the first destination layer pixels using the associated alpha values. The apparatus provides, for display on the display, the first alpha blended pixels.

Abstract: Examples described herein relate to facilitating media item access via a media item database. For instance, a playlist may include audio tracks of a first streaming service (e.g., as uniform resource identifiers linking to streamable audio tracks). When a subscription to the first streaming service is not active, the playlist may be unplayable by a media playback system including a playback device. To play the playlist, a computing system may convert the playlist to audio tracks of a second streaming service and then send the converted playlist back to the media playback system for playback.