Abstract: A mechanism is described for facilitating optimization of cache associated with graphics processors at computing devices. A method of embodiments, as described herein, includes introducing coloring bits to contents of a cache associated with a processor including a graphics processor, wherein the coloring bits to represent a signal identifying one or more caches available for use, while avoiding explicit invalidations and flushes.

Abstract: Knowledge graph systems are disclosed for enhancing a knowledge graph by generating a new node. The knowledge graph system converts a knowledge graph into an embedding space, and selects a region of interest from within the embedding space. The knowledge graph system further identifies, from the region of interest, one or more gap regions, and calculates a center for each gap region. A node is generated for each gap region, and the information represented by the node is added to the original knowledge graph to generate an updated knowledge graph.

Abstract: This disclosure describes one or more implementations of a digital image semantic layout manipulation system that generates refined digital images resembling the style of one or more input images while following the structure of an edited semantic layout. For example, in various implementations, the digital image semantic layout manipulation system builds and utilizes a sparse attention warped image neural network to generate high-resolution warped images and a digital image layout neural network to enhance and refine the high-resolution warped digital image into a realistic and accurate refined digital image.

Abstract: Systems and methods for conveying virtual content in an augmented reality environment comprising images of virtual content superimposed over physical objects and/or physical surroundings visible within a field of view of a user as if the images of the virtual content were present in the real world. Exemplary implementations may: obtain user information for a user associated with a presentation device physically present at a location of the system; compare the user information with the accessibility criteria for the virtual content to determine whether any portions of the virtual content are to be presented to the user based on the accessibility criteria and the user information for the user; and facilitate presentation of the virtual content to the user via presentation device of user based on the virtual content information, the field of view, and the correlations between the multiple linkage points and the reference frame of the virtual content.

Abstract: Digital object surface inflation techniques are described as implemented by an image processing system to generate an inflated digital object, automatically and without user intervention, from a two-dimensional digital object in a digital image. In one example, the geometry inflation system generates the inflated digital object based on an outer boundary and in this way overcomes challenges of conventional skeleton based techniques. In another example, rules are configured to guide a geometry inflation system to generate the inflated digital object.

Abstract: Systems and methods for conveying virtual content in an augmented reality environment comprising images of virtual content superimposed over physical objects and/or physical surroundings visible within a field of view of a user as if the images of the virtual content were present in the real world. Exemplary implementations may: obtain user information for a user associated with a presentation device physically present at a location of the system; compare the user information with the accessibility criteria for the virtual content to determine whether any portions of the virtual content are to be presented to the user based on the accessibility criteria and the user information for the user; and facilitate presentation of the virtual content to the user via presentation device of user based on the virtual content information, the field of view, and the correlations between the multiple linkage points and the reference frame of the virtual content.

Abstract: A fill pattern alignment system fills a geometric shape with a graphical cell in accordance with a pattern and aligned with the contours of the geometric shape. The intrinsic shape of the geometric shape being filled is determined and an orientation for the graphical cell at each location in the pattern is determined based on the intrinsic shape of the geometric shape. Accordingly, the orientation for each graphical cell being used to fill the geometric shape is variable based on the location of the graphical cell and the intrinsic shape of the geometric shape.

Abstract: Method and system to extract domain concepts to create domain dictionaries and ontologies comprises collecting a plurality of reference papers and further classifying the collected plurality of reference papers as relevant and irrelevant. Each of the ‘relevant’ reference papers is further processed by the system, during which the system identifies relevant sections from each document and further processes data in the relevant sections to extract required information and also to identify a relationship between different extracted information, which is further used to create domain dictionaries and ontologies.

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 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: 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: 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.