Abstract: Methods, systems, and media for relighting images using predicted deep reflectance fields are provided.

Abstract: A voice assistant has a contextually-adjusted audio output. The audio output can be adjusted, for example, based on media content characteristics.

Abstract: Methods performed by a User Equipment (UE) are provided for transmission of one or more Transport Control Protocol (TCP) Acknowledgement (ACK) packets including reserving one or more Sequence Numbers (SNs) in at least one of a Packet Data Convergence Protocol (PDCP) SN space or a Radio Link Control (RLC) SN space, allocating the one or more reserved SNs, to the one or more TCP ACK packets, and sending the one or more TCP ACK packets.

Abstract: In an embodiment, an integrated circuit includes multiple instances of a component (e.g. a processor) and a control circuit. The instances may be configured to operate in various modes. Some of the modes are incapable of presenting a worst-case load on the power supply. The control circuit may be configured to monitor the instances and detect the modes in which the instances are operating. Based on the monitoring, the control circuit may request to recover a portion of the voltage margin established for worst-case conditions in the instances. If the instances are to change modes, they may be configured to request mode change from the control circuit. If the mode change causes an increase in the current supply voltage magnitude (e.g. to restore some of the recovered voltage margin), the control circuit may cause the restore and permit it to complete prior to granting the mode change.

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 system for generating and distributing a digital mixtape. In one example, the system can receive a user command to generate a digital mixtape including a user-defined compilation of music. The user command identifies a recipient of the digital mixtape and identifies one or more media content items to be included in the music compilation for the recipient. The digital mixtape can also include audio recordings from the user to be added to the digital mixtape.

Abstract: A method for handling kernel services for interrupt routines in a multi-core processor in an electronic device. The method comprises receiving a first interrupt on a first core of the multi-core processor, wherein the first interrupt includes at least one kernel service request and at least one non-kernel service request. The method further determines whether a worker queue of the first core in empty and whether a kernel service lock for the at least one kernel service request is acquired by at least one second core of the multi-core processor, in response to determining that the worker queue of the first core is empty. The method further comprises executing the at least one non-kernel service request of the first interrupt on the first core. The pending kernel service request are queued in the worker queue based on whether worker queue is empty or not and availability of kernel lock.

Abstract: A system and method for determining a number of occupants at a location using multiple modalities. The method includes gathering a first data set with a motion sensor of the lighting system. A second data set is gathered with a transceiver of an RF subsystem. First and second estimates are calculated from the second data set using first and second algorithms. The first estimate and the second estimate are fused to create a fused occupant estimate. The first algorithm, the second algorithm, or both the first algorithm and the second algorithm are trained by inputting the second occupant estimate and/or the second set of data to recalibrate parameters of the first algorithm and/or inputting the first occupant estimate and/or the first set of data to recalibrate parameters during training of the second algorithm. A building control system can operated in response to the fused occupant estimate.

Abstract: The present invention relates to a tablet composition for oral administration of abiraterone acetate, particularly to pharmaceutical granulates and tablets giving immediate release of abiratetone acetate in the stomach.

Abstract: A fixed-width pulse generator includes a metastability detector circuit, a delay signal generator, and a combinational logic circuit. The metastability detector circuit is configured to receive a trigger signal and generate state detection signals. The delay signal generator is configured to receive the state detection signals and the trigger signal, and delay the trigger signal by two different delay values to generate two different delayed signals. One of the delay values is based on the state detection signals. The combinational logic circuit is configured to receive the two delayed signals and an error signal, and generate a fixed-width pulse that remains constant over process, voltage, and temperature variations.

Abstract: Provided is a method for scheduling of tasks for an operating system on a multi-core processor. The method includes receiving a system call for initiating a scheduling operation on a second core and invoking a scheduling instance to the second core, and the scheduling instance notifies the scheduling operation of an incoming high priority task. Further, the method includes deferring a switching context instance at the second core, and the deferring the switching context instance at the second core includes unblocking the first core to perform other tasks.

Abstract: An organization framework system and method for compliance with non-functional requirements is described. The system has a regulatory standards database with a plurality of regulatory standards, each regulatory standard comprising a set of regulatory non-functional requirements, an organization standards database with a plurality of organization standards, each organization standard comprising a set of organization non-functional requirements, and an organization framework comprising a master set of regulatory non-functional requirements and organization non-functional requirements.

Abstract: Systems and methods for Deep Learning techniques based multi-purpose conversational agents for processing natural language queries. The traditional systems and methods provide for conversational systems for processing natural language queries but do not employ Deep Learning techniques, and thus are unable to process large number of intents. Embodiments of the present disclosure provide for Deep Learning techniques based multi-purpose conversational agents for processing the natural language queries by defining and logically integrating a plurality of components comprising of multi-purpose conversational agents, identifying an appropriate agent to process one or more natural language queries by a High Level Intent Identification technique, predicting a probable user intent, classifying the query, and generate a set of responses by querying or updating one or more knowledge graphs.

Abstract: Disclosed herein is method and system for determining quality of semen sample. Trajectories of objects, identified in each of plurality of image frames of semen sample, are generated by tracking movement of the objects across image frames, and compensating a drift velocity of the semen sample. Further, generated trajectories are classified into sperm and non-sperm trajectories. Finally, total concentration estimate and total motility estimate of the semen sample are computed to generate a semen quality index, which indicates quality of the semen sample. In an embodiment, the method of present disclosure uses a multi-level Convolutional Neural Network (CNN) analysis technique for effectively classifying the object trajectories into sperm and non-sperm objects. Also, since the present method includes estimating and compensating drift velocity in the semen sample, it enhances overall accuracy of motility estimation and semen quality analysis.

Abstract: The described embodiments relate to systems, methods, and apparatuses for controlling a network of lights (120) according to whether people (122) who are observing the lights are visitors from a different location (108). Visitors can be identified by using network connection data (116, 208) that includes entries corresponding to personal devices of visitors to a city. The network connection data can be filtered to identify how many personal devices are associated with people visiting from a different city. If the number of visitors exceeds some threshold relative to non-visitors, a lighting arrangement in the city can be controlled to display features that would appeal to the visitors. The features can correspond to aspects of the city where the visitors are from and can therefore make the city more attractive.

Abstract: An electronic gaming machine includes a display, a player input device, a credit input mechanism, and a processor programmed to perform operations comprising: (i) display a search pattern matrix to a player on the display, the search pattern matrix includes a plurality of cells that are selectable by the player; (ii) receive an input selection of cells of the search pattern matrix from the player; (iii) search a pay table associated with a wagering game provided by the gaming machine for winning patterns included within the pay table and having at least the same plurality of cells daubed as are indicated by the search pattern matrix; and (iv) display the winning patterns identified by the searching to the player via the display, the displaying including presenting the winning patterns in a matrix display format identifying one or more daubed cells of the associated winning patterns within the matrix display

Abstract: Techniques for transforming digital text content using expressions are described. According to various implementations, a text editor system determines that digital text content of a digital document is modified via application of a particular style that differs from other digital text content of the digital document. The text editor system identifies a pattern characteristic to the modified digital text content, and generates a digital expression that identifies the pattern, and generates a style expression that combines the digital expression with a digital style that represents style attributes descriptive of the style modification applied to the modified text content. The text editor system applies the style expression to search digital text content, identify matching digital text content that matches the digital expression, and transform the matching digital text content by applying the digital style to modify the matching digital text content.

Abstract: Methods, systems, and media for relighting images using predicted deep reflectance fields are provided.

Abstract: Provided is a system and method that can identify whether an item is a dangerous good. The system can determine whether a product belongs in any of a number of different classes of dangerous goods from among a plurality of different regulations based on a machine learning algorithm which performs a text-based classification. In one example, the method may include receiving an identification of an object, retrieving a plurality of descriptive attributes of the object from a data store and converting the plurality of descriptive attributes into an input string, predicting whether the object is a dangerous object via execution of a text-based machine learning algorithm that receives the input string as an input, and outputting information about the prediction of the object for display via a user interface.

Abstract: Provided is a system and method that can assign a product to a regulatory group via a machine learning algorithm. The system can predict whether a product belongs in any of a number of different groups and retrieve regulations for the predicted groups. In one example, the method may include receiving an alphanumeric identifier of an object, predicting that the object is included within one or more regulatory categories via execution of a regulatory-based machine learning algorithm that receives the identifier of the object as an input and classifies the object into the one or more regulatory categories, retrieving regulation information about the one or more predicted regulatory categories for at least one jurisdiction associated with the object, and outputting the retrieved regulation information about the one or more predicted regulations for display via a user interface.