Abstract: An integrated circuit may include 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: Techniques and systems are provided for glyph-aware text selection. For instance, a glyph selection system can detect that a user has selected a glyph within a user interface. The glyph selection system can highlight the glyph and/or a region encompassing the glyph to communicate, to the user, that the glyph is selected. This highlighted region can be determined based on the shape and/or outline of the glyph. For example, the glyph selection system can determine bounds (e.g. coordinates) of the glyph in order to highlight a region within the user interface that fully encompasses the glyph and does not include portions of unselected glyphs. In some cases, the highlighted region may be rectangular. Alternatively, the highlighted region may be non-rectangular, such as a border defined by the outline of the glyph.

Abstract: A method for identifying locked-up simulation testbench components during a simulation is disclosed. In some embodiments, the method includes creating, by an initiator simulation testbench component, at least one migrant packet. The method further includes circulating, during a component identification cycle, each of the at least one migrant packet in an associated predefined direction through each of the plurality of simulation testbench components in the associated daisy loop from the at least one daisy loop. The method further includes circulating, during an issue identification cycle, each of the least one migrant packet in the associated predefined direction through each of the plurality of simulation testbench components in the associated daisy loop.

Abstract: A text-to-speech engine creates audio output that includes synthesized speech and one or more media content item snippets. The input text is obtained and partitioned into text sets. A track having lyrics that match a part of one of the text sets is identified. The location of the track's audio that contains the lyric is extracted based on forced alignment data. The extracted audio is combined with synthesized speech corresponding to the remainder of the input text to form audio output.

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: Techniques for suggesting a filter field based on a user input are disclosed. A system trains a machine learning model by obtaining historical data including sets of user search input, including a first search term and a first value for a first filter field. Based on the historical data, the system trains the machine learning model to associate the first filter field with the first search term. The system receives a first query for execution. The system applies the machine learning model to the first query to identify the first filter field as a suggestion. The system: recommends the first field for filtering a first set of search results corresponding to the first query. Responsive to receiving user input selecting a first value for the first filter field, the system filters using the first value to generate a set of filtered search results, and presents the filtered search results.

Abstract: Techniques and systems are provided for glyph-aware text selection. For instance, a glyph selection system can detect that a user has selected a glyph within a user interface. The glyph selection system can highlight the glyph and/or a region encompassing the glyph to communicate, to the user, that the glyph is selected. This highlighted region can be determined based on the shape and/or outline of the glyph. For example, the glyph selection system can determine bounds (e.g. coordinates) of the glyph in order to highlight a region within the user interface that fully encompasses the glyph and does not include portions of unselected glyphs. In some cases, the highlighted region may be rectangular. Alternatively, the highlighted region may be non-rectangular, such as a border defined by the outline of the glyph.

Abstract: A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement.

Abstract: A text-to-speech engine creates audio output that includes synthesized speech and one or more media content item snippets. The input text is obtained and partitioned into text sets. A track having lyrics that match a part of one of the text sets is identified. The location of the track's audio that contains the lyric is extracted based on forced alignment data. The extracted audio is combined with synthesized speech corresponding to the remainder of the input text to form audio output.

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: Provided is a voltage level shifter that operates in sub-threshold voltages. The level shifter includes a level shifting stage. The level shifting stage receives a first signal from a first voltage domain and outputs a second signal to a second voltage domain. The level shifter includes a first auxiliary stage. In response to the first signal having a first voltage level corresponding to a first logical state and a first node of the level shifting stage having a supply voltage level, the first auxiliary stage sources current to a second node of the level shifting stage. Sourcing the current to the second node accelerates a transition of the first node to a reference voltage. The level shifting stage outputs a second signal to a second voltage domain.

Abstract: A device may receive a request for a schedule and scheduling constraints to utilize when generating the schedule, and may process, based on the request, a first portion of the scheduling constraints and first optimization variables, with a first optimization solver model, to generate capacity data for the schedule. The device may process the capacity data, a second portion of the scheduling constraints, and second optimization variables, with a second optimization solver model, to generate shift assignment data for the schedule, and may process the shift assignment data, a third portion of the scheduling constraints, and third optimization variables, with a third optimization solver model, to generate skill and task assignment data for the schedule. The device may generate the schedule based on the capacity data, the shift assignment data, and the skill and task assignment data, and may perform one or more actions based on the schedule.

Abstract: A method for off-loading streams selection to generate organized concurrent streams in a simulation environment is disclosed. In some embodiments, the method includes receiving at least one stream selection request for a DUT from a DUT input generator; performing a stream selection process in response to receiving the request. In order to perform the stream selection process, the method includes analyzing each of a plurality of stream specification entries of a stream specification entries array; selecting a stream from the plurality of streams based on one or more of the set of stream specification entry fields associated with the stream; and generating a stream selection result object based on the selected stream; sending the stream selection result object associated with the selected stream to a respective DUT input generator; and utilizing, by the respective DUT input generator, the stream selection result object associated with the selected stream.

Abstract: A filter device for separating a liquid mixture, including a vessel with first filter element. The vessel comprises a flat vessel base surface and vessel mantle surface. , including a housing with a second filter element. The housing comprises flat housing base surface and housing mantle surface. The vessel mantle surface comprises re-entrant section forming recess. A mating side of the housing mantle surface is configured to fit into the recess, whereby the re-entrant section and the mating side are provided with connection means to fluidly connect the first filter element with the second filter element. The re-entrant section extends from the vessel base surface, and the vessel base surface and the housing base surface are parallel and level in the same plane when the mating side of the housing mantle surface is fitted into the recess formed by the re-entrant section.

Abstract: A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement.

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: A method of predicting a data point from a predictor, wherein the predictor comprises a trained machine which has been trained based on a training dataset comprising at least one labelled data point; wherein the method comprises: assigning a first function to the at least one labelled data point and a second function to the data point; determining a level of similarity based on a comparison of the first function and the second function; determining a similarity information between the at least one labelled data point and the data point; assigning a first weight to a prediction from the trained machine for the data point, and a second weight to the similarity information; determining an adjustment to the first and/or the second weight as a function of the level of similarity; and determining a prediction for the data point, wherein the prediction is based on combining the prediction from the trained machine with the adjusted first weight and the similarity information with the adjusted second weight.

Abstract: Systems and methods for monitoring chain health of a chain having multiple links in a closed loop, as the chain cycles. The system includes: a camera statically positioned with respect to the chain, the camera configured to generate a frame to include a link from among the multiple links; and a controller module operationally coupled to the camera and programmed to repeat the steps of: receiving the frame; converting the frame to a black and white frame with a high-contrast; identifying a link type of the link in the black and white frame based on referencing a plurality of predefined skyline templates; and, storing the link with the link type and a respective temporal marker in a cache, storing a sequence. The system continues until discovering that the chain has cycled back to the starting link, identifies a type of chain for the chain, and fingerprints the chain.

Abstract: An integrated circuit may include 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: Glyph selection techniques are described for digital text content that enable selection of non-contiguous glyphs via input describing at least one path of any shape or form relative to the digital text content. A text selection system receives freeform drawing input defining a path and ascertains a selection scope for outputting a text selection relative to the path. The selection scope indicates whether the text selection is to include glyphs that intersect the path, glyphs displayed within an area enclosed by the path, glyphs displayed outside an area enclosed by the path, or combinations thereof. The text selection system is configured to identify a subset of glyphs for inclusion in the text selection, without constraint as to whether the subset of glyphs are contiguous in the digital text content, and output the subset of glyphs as a single selection of the digital text content.