Abstract: Systems and methods are described for utilizing an image processing system with at least one processing device to perform operations including receiving a plurality of input images of a user, generating a three-dimensional mesh proxy based on a first set of features extracted from the plurality of input images and a second set of features extracted from the plurality of input images. The method may further include generating a neural texture based on a three-dimensional mesh proxy and the plurality of input images, generating a representation of the user including at least a neural texture, and sampling at least one portion of the neural texture from the three-dimensional mesh proxy. In response to providing the at least one sampled portion to a neural renderer, the method may include receiving, from the neural renderer, a synthesized image of the user that is previously not captured by the image processing system.

Abstract: An electronic just-in-time learning and training system that is integrated into a user workflow to provide users with the knowledge they require to complete the tasks in the workflow and to provide meaningful and impactful training to users or advancement along a learning or training path. User tasks are matched to training modules in a training database to assist with completion of a task while a user profile tracks user training to deliver the most appropriate training modules. The system tracks completion of training modules to guide the user with training and advancement and to offer the user opportunities for additional certification and learning.

Abstract: System, method, and various embodiments for providing contextualized character recognition system are described herein. An embodiment operates by determining a plurality of predicted words of an image. An accuracy measure or each of the plurality of predicted words is identified and a replaceable word with an accuracy measure below a threshold is identified. A plurality of candidate words associated with the replaceable word are identified and a probability for each of the candidate words is calculated based on a contextual analysis. One of the candidate words with a highest probability is selected. The plurality of predicted words including the selected candidate word with the highest probability replacing the replaceable word is output.

Abstract: The present disclosure provides method and apparatus for managing kernel services in multi-core system. Embodiments herein provide a method for managing kernel services in a multi-core system. The method includes configuring a lock for a kernel and object-specific locks for shared resources of the kernel and parallel processing IPC services for different shared resources on a plurality of cores of the multi-core system using the object-specific locks.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to adaptable drawing guides. In implementations, a guide mode is identified. Generally, a guide mode indicates a manner in which to use a drawing guide to confine strokes corresponding with input paths. Upon detecting an input path, a stroke is drawn in accordance with the guide mode. For example, when an edge mode is employed, the drawn stroke is confined to align with at least one edge of the drawing guide, when an inside mode is employed, the drawn stroke is confined inside of the set of edges of the drawing guide, and when the outside mode is employed, the drawn stroke is confined outside of the set of edges of the drawing guide.

Abstract: A method for marking text in digital typography includes identifying one or more glyphs that intersect or overlap with a text marking bounding box, drawing a modified text marking to avoid intersecting with the one or more glyphs, and causing a display device to display the modified text marking with the text. The text marking is associated with a line of text including the glyphs or adjacent to a waxline of text including the glyphs. For each of the glyphs, the glyph corresponding to the glyph bounding box intersecting with the text marking is indicated. The modified text marking is drawn based on outlines of the glyphs, intersections between a text marking bounding box and the glyph outlines, and a user-specified glyph offset, text marking weight, and/or text marking offset to avoid intersecting with the glyphs. The shape of the modified text marking avoids intersecting with or overlapping the glyph.

Abstract: A computer-implemented method for operating a fantasy sports system permits the drafting of non-active players. The non-active players can be draft alongside active players, or a team or even a league can be comprised of exclusively non-active players. Fantasy points are generated for each of the non-active players by randomly selecting a plurality of historical plays by each non-active player from a database of historical plays. A total fantasy score for each fantasy team is generated based upon the fantasy points for each of the non-active players.

Abstract: In an example embodiment, a deep neural network may be utilized to determine matches between candidate pairs of entities, as well as confidence scores that reflect how certain the deep neural network is about the corresponding match. The deep neural network is also able to find these matches without requiring domain knowledge that would be required if features for a machine-learned model were handcrafted, which is a drawback of prior art machine-learned models used to match entities in multiple tables. Thus, the deep neural network improves on the functioning of prior art machine learned models designed to perform the same tasks. Specifically, the deep neural network learns the relationships of tabular fields and the patterns that define a match from historical data alone, making this approach generic and applicable independent of the context.

Abstract: The present invention provides for a system and a method for improved representation of classical data on quantum systems. Input classical data is received and a feature set is created from the classical data. A functional transformation is performed on the created feature set to reduce high dimensional data associated with the feature set and a low dimensional feature space dataset is generated. A feature space transformation is performed on the low-dimensional feature space dataset to obtain a new feature space dataset with enhanced feature representation of the low-dimensional feature space dataset in a multi-dimensional space. The new feature space dataset results in optimal mapping of the input classical data into a quantum format. The new feature space dataset is sampled and batches of the sampled dataset are selected. The sampled dataset is mapped into an optimized quantum format for loading the sampled dataset into quantum states.

Abstract: Generating a table with at least one skewed row, skewed column, shifted row, or shifted column is described. A table generation system generates a table that includes cells arranged in a grid comprising rows and columns, and defines each cell using a grid address, a grid span, a grid angle, a string skew value, a string shift value, and a shift indicator for the cell. The table generation system may receive input modifying a grid angle for at least one row or column and generate a modified table by skewing cells included in the at least one row or column by the grid angle. The table generation system may additionally or alternatively receive input shifting at least one row or column by a string shift value and modify the display of the table by shifting the at least one row or column according to the string shift value.

Abstract: Embodiments of present disclosure discloses system and method for reconstruction of FOV. Initially, presence of one of single object and distinct objects in FOV of image of sample comprising one or more objects is determined based on sharpness of one or more objects. A single optimal representation of FOV may be generated when presence of single object is determined. At least one of single optimal representation and a depth-based enhanced representation of FOV may be generated when presence of distinct objects is determined. For generating depth-based enhanced representation, one or more first optimal images associated with each of distinct objects in FOV may be retrieved. An optimal representation of each of distinct objects is generated based on corresponding one or more first optimal images. Further, optimal representation of each of distinct objects is placed at corresponding optimal depth associated with respective distinct object to generate depth-based enhanced representation.

Abstract: A lighting stage includes a plurality of lights that project alternating spherical color gradient illumination patterns onto an object or human performer at a predetermined frequency. The lighting stage also includes a plurality of cameras that capture images of an object or human performer corresponding to the alternating spherical color gradient illumination patterns. The lighting stage also includes a plurality of depth sensors that capture depth maps of the object or human performer at the predetermined frequency. The lighting stage also includes (or is associated with) one or more processors that implement a machine learning algorithm to produce a three-dimensional (3D) model of the object or human performer. The 3D model includes relighting parameters used to relight the 3D model under different lighting conditions.

Abstract: Systems and methods are described for generating a plurality of three-dimensional (3D) proxy geometries of an object, generating, based on the plurality of 3D proxy geometries, a plurality of neural textures of the object, the neural textures defining a plurality of different shapes and appearances representing the object, providing the plurality of neural textures to a neural renderer, receiving, from the neural renderer and based on the plurality of neural textures, a color image and an alpha mask representing an opacity of at least a portion of the object, and generating a composite image based on the pose, the color image, and the alpha mask.

Abstract: Disclosed herein are systems and methods for replicating data across deployments in a routing constrained environment. To replicate data, a processor may detect a modification that changes data for a source entity within a source environment hosting a source deployment of an application. The processor may then update a target environment hosting a target deployment of the application to mirror the modification within the source environment. To update the target environment, the processor may generate a mapping artifact that identifies the source entity having changed data and the target entity within the target environment receiving the changed data. The processor may then create a mapping infrastructure including one or more compute instances that replicate the changed data for the source entity in the target entity.

Abstract: A system-on-chip (SoC) includes a fuse circuit and decoding circuitry. The fuse circuit includes functional fuses, control fuses utilized as the functional fuses, and fuses configured to store override data that indicates an association between the functional fuses and the control fuses utilized as the functional fuses. The decoding circuitry is configured to output configuration data associated with a configuration of the fuse circuit based on the override data and an initial configuration of the fuse circuit. In such a scenario, functional operations of the SoC are executed based on the configuration data. Alternatively, the decoding circuitry is configured to output a set of functional data based on the override data and various functional data stored in the functional fuses and the control fuses utilized as the functional fuses. In such a scenario, the functional operations are executed based on the outputted set of functional data.

Abstract: Techniques are described herein for workspace occupancy estimation using presence sensor data and a predictive model. In various embodiments, spatial distributions of workspaces (340) and presence sensors (342) may be identified (402) in an open environment and used to generate (406) a surrogate model. The surrogate model may indicate which workspaces in the open environment are within sensor range of each presence sensor in the open environment. A plurality of simulated occupancy patterns may be applied across the surrogate model to generate a corresponding plurality of triggered sensor patterns. Based on the applying, a predictive model may be generated (410) for estimating occupancy among the plurality of workspaces in the open environment based on triggered sensor patterns. A real life triggered sensor pattern may then be applied (414) across the predictive model to estimate occupancy among the plurality of workspaces in the environment.

Abstract: Methods, systems and apparatuses may provide for technology that generates a backlight compensation signal based on a user input, an operating system input and an adjustment output, wherein the backlight compensation signal includes a plurality of transitions in a time domain, and wherein the plurality of transitions occur at a frequency that exceeds a frequency threshold. The technology may also automatically apply the backlight compensation signal to a low pass filter to obtain a smoothened compensation signal and adjust a brightness level of the display panel based on the smoothened compensation signal and a modified pixel buffer.

Abstract: Generating a table with at least one skewed row, skewed column, shifted row, or shifted column is described. A table generation system generates a table that includes cells arranged in a grid comprising rows and columns, and defines each cell using a grid address, a grid span, a grid angle, a string skew value, a string shift value, and a shift indicator for the cell. The table generation system may receive input modifying a grid angle for at least one row or column and generate a modified table by skewing cells included in the at least one row or column by the grid angle. The table generation system may additionally or alternatively receive input shifting at least one row or column by a string shift value and modify the display of the table by shifting the at least one row or column according to the string shift value.

Abstract: A method for handling checksum error in uplink data compression (UDC) in a wireless communication system includes: detecting, by user equipment (UE), a checksum failure; automatically controlling, by the UE, generation of a number of compressed protocol data units (PDUs) available for transmission at a Packet Data Convergence Protocol (PDCP) based on a package formation rate (PFT); and transmitting, by the UE, a number of compressed PDUs.

Abstract: Disclosed subject matter relates to Peripheral Blood Smear (PBS) that determines an area to be scanned in PBS for analysis. A PBS analysing system captures a focused image at each of plurality of positions in the PBS and determines Quality Indicators (QIs) in focused image. Further, a region is identified in PBS where QIs of focused image satisfy predefined QI threshold limits, as a monolayer region of PBS and determines an initiation point in monolayer region based on cell count value and co-ordinates of each of the plurality of positions located in the monolayer region. Finally, the area to be scanned in monolayer region is determined based on the initiation point and a predefined scan pattern. Determining the area to be scanned yields accurate and faster results.