Abstract: This disclosure relates generally to Millimeter Wave (MMW) frequency antenna scanning system. Conventional approaches available for scanning an antenna beam over a large angular swath with high directivity are unable to address concerns of size and cost involved. The technical problem of providing an MMW frequency antenna scanning system using a single small size antenna capable of scanning as desired at a desired precision is addressed in the present disclosure. The antenna scanning system provided is an electromechanical system that makes the system cost effective. Computer control provides precision control in beam steering from remote. Use of a metasurface and configuration of a radiating patch and a shorting pin in a microstrip antenna addresses the concern with regards to the size of the antenna scanning system.

Abstract: This disclosure provides systems, methods and apparatuses for enabling downlink throttling, such as for thermal mitigation. For example, a user equipment (UE) may transmit channel state feedback (CSF) with a report of a first rank that is less than a second rank associated with a channel condition and may communicate with a base station using a configuration associated with the first rank and without a set of sounding reference signals (SRSs). Alternatively, the UE may transmit one or more SRSs using a configuration associated with the first rank. In this way, by refraining from transmission of the SRSs or by adjusting the configuration the SRSs, the UE causes the base station to support downlink throttling.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates a multi-modal vector and identifies a recommended font corresponding to the source font based on the multi-modal vector. For instance, in one or more embodiments, the disclosed systems receive an indication of a source font and determines font embeddings and glyph metrics embedding. Furthermore, the disclosed system generates, utilizing a multi-modal font machine-learning model, a multi-modal vector representing the source font based on the font embeddings and the glyph metrics embedding.

Abstract: Systems and methods are described for providing a graphical user interface (“GUI”) for migrating workloads in a system. The GUI can display the locations of edge devices in the system and workloads running on the edge devices. A user can drag a workload from one edge device to another in the GUI, and in response the system can schedule the workload to be migrated accordingly. Before the migration is performed, the GUI can calculate a change in computing resource usage at both edge devices. The GUI can display the usage data and prompt the user to confirm the migration. If the user confirms, the workload can be deployed at the target edge device and removed from the source edge device.

Abstract: The present disclosure relates to a video processing method, an electronic device for video playback, and a video playback system. A video processing method comprises: receiving an input video comprising a plurality of sections, and metadata associated with the input video, at least two sections of the plurality of sections of the input video having different frame rates; and performing real-time processing on the input video according to the metadata, so as to output an output video having a constant target frame rate in real time, wherein the metadata includes frames indicating various sections of the input video rate information, or the metadata includes information indicating the frame rate of each section of the input video and at least one of the following information: information indicating a target frame rate and information indicating a processing operation to be used for performing real-time processing on the input video.

Abstract: A computer implemented method transforms data. Responsive to receiving a data transformation of an input string to an output string, a computer system identifies mappable tokens in the input string that are mappable to the output string. The computer system creates a set of initial mappings for a set of common tokens in the mappable tokens. The set of initial mappings maps the set of common tokens from the input string to the output string. The computer system creates a set of user mappings that maps the mappable tokens from input string to the output string using a user input to the set of initial mappings. The computer system generates program code that transform input strings to output strings using the set of user mappings that maps the mappable tokens from input string to the output string, wherein the program code is used to transform input strings to output strings.

Abstract: A method, computer program, and computer system are provided for online fairness monitoring. A dataset having one or more entries with one or more protected attributes and data corresponding to a trained machine learning model is received. An entry having a maximum reward is selected based on a reward probability associated with the entry. A determination is made as to whether bias has developed in the trained machine learning model toward one or more of the one or more protected attributes based on a change to the reward probability or a distribution of reward probabilities exceeding a threshold value.

Abstract: An example operation may include one or more of identifying an external system that passes an input attribute to a process based on a workflow representation of the process, building a simulator of the external system based on attributes of the external system identified from the workflow representation, simulating future values of the input attribute to be passed to the process by the external system based on the simulator of the external system and a previous simulation run of the process performed via a workflow software application, and executing a new simulation of the process via the workflow software application based on the simulated future values of the input attribute.

Abstract: A computer implemented method transforms data. Responsive to receiving a data transformation of an input string to an output string, a computer system identifies mappable tokens in the input string that are mappable to the output string. The computer system creates a set of initial mappings for a set of common tokens in the mappable tokens. The set of initial mappings maps the set of common tokens from the input string to the output string. The computer system creates a set of user mappings that maps the mappable tokens from input string to the output string using a user input to the set of initial mappings. The computer system generates program code that transform input strings to output strings using the set of user mappings that maps the mappable tokens from input string to the output string, wherein the program code is used to transform input strings to output strings.

Abstract: Embodiments are disclosed for real time generative audio for brush and canvas interaction in digital drawing. The method may include receiving a user input and a selection of a tool for generating audio for a digital drawing interaction. The method may further include generating intermediary audio data based on the user input and the tool selection, wherein the intermediary audio data includes a pitch and a frequency. The method may further include processing, by a trained audio transformation model and through a series of one or more layers of the trained audio transformation model, the intermediary audio data. The method may further include adjusting the series of one or more layers of the trained audio transformation model to include one or more additional layers to produce an adjusted audio transformation model. The method may further include generating, by the adjusted audio transformation model, an audio sample based on the intermediary audio data.

Abstract: A support assembly includes a bracket coupled to a structural portion. The bracket is configured to prevent relative motion between the end portion and the bracket when a first load is applied in a first direction, and the bracket is configured to allow relative motion between the end portion and the bracket when a second load is applied in a second direction that is different than the first direction. In some implementations, relative motion may be allowed when the second load exceeds a threshold value.

Abstract: Embodiments presented in this disclosure provide for dynamic application of user selected visual accessibility transforms onto glyphs of standard fonts so that, for instance, a user device can present textual content to a user in a form personalized by the user to be more readable. In accordance with some aspects, a user selection of a font transformation is received. A set of initial control points of an initial glyph is transposed based on the font transformation to generate a set of modified control points. A modified glyph is constructed using differential evolution based at least on the set of initial control points and the set of modified control points.

Abstract: The present disclosure relates to a digital light processing (DLP) projection equipment and its electronic device. There proposes an electronic device for a digital cinema grade DLP projection equipment compatible with Digital Cinema Initiatives (DCI), including: a processing circuit configured to process an input video data; an output controller to control processed video signal so that the video signals are suitable for projection display via an output optics, wherein the processing circuit and the output controller are integrated on the same circuit board.

Abstract: Embodiments are disclosed for real time generative audio for brush and canvas interaction in digital drawing. The method may include receiving a user input and a selection of a tool for generating audio for a digital drawing interaction. The method may further include generating intermediary audio data based on the user input and the tool selection, wherein the intermediary audio data includes a pitch and a frequency. The method may further include processing, by a trained audio transformation model and through a series of one or more layers of the trained audio transformation model, the intermediary audio data. The method may further include adjusting the series of one or more layers of the trained audio transformation model to include one or more additional layers to produce an adjusted audio transformation model. The method may further include generating, by the adjusted audio transformation model, an audio sample based on the intermediary audio data.

Abstract: An aspect of the present disclosure facilitates resolving tickets in a multi-tenant environment. In one embodiment, a server receives a ticket for a tenant from a ticketing system and then determines a gross job representing a class of jobs suitable for resolution of the received ticket. The server then identifies a set of values for a set of system parameters characterizing the computing resources serving the tenant. The server selects a target job based on the combination of the determined gross job and the set of values for the set of system parameters. The selected target job is then executed to cause resolution of the ticket for the tenant. According to another aspect, the server performs the above noted actions automatically without manual intervention, in response to adding of the ticket into the ticketing system.

Abstract: Methods, systems, and computer program products for automatically modifying responses from generative models using artificial intelligence techniques are provided herein. A computer-implemented method includes obtaining data pertaining to at least one conversation involving at least one automated conversation exchange software program and at least one user; identifying, among words proposed by the at least one automated conversation exchange software program in connection with the at least one conversation, words qualifying as belonging to one or more predetermined categories by processing the obtained data using artificial intelligence techniques; determining, by processing the identified words and at least one word-based data source, one or more alternate words; modifying at least a portion of the proposed words by replacing at least a portion of the identified words with at least a portion of the one or more alternate words; and performing at least one automated action based on the modifying.

Abstract: Methods, systems, and computer program products for automated fairness-driven graph node label classification are provided herein. A computer-implemented method includes obtaining at least one input graph; predicting one or more node labels associated with the at least one input graph by processing at least a portion of the at least one input graph using a graph node label prediction model, wherein the graph node label prediction model includes at least one loss function; generating an updated version of the graph node label prediction model based at least in part on the one or more predicted node labels and one or more group fairness-based constraints relevant to the at least one input graph; and performing one or more automated actions using the updated version of the graph node label prediction model.

Abstract: Methods, systems, and computer program products for adjusting machine learning models based on simulated fairness impact are provided herein. A computer-implemented method includes obtaining, by a central simulation system, policies to be used for performing a simulation involving machine learning models, implemented on different systems, interacting with a target population; providing information for configuring simulators on the different systems, each simulator representing at least the machine learning model of a given one of the different systems; performing iterations of the simulation for the policies, wherein, for each iteration, the central simulation system: predicts a state of the target population, provides the state to the simulators, and collects metrics based on results of the simulators; and selecting and sending one of the policies to at least one of the different systems based on the collected metrics.

Abstract: A computer implemented method, computer system, and computer program product for transforming mapped data fields of enterprise applications. A number of processor units receiving a matching from a source data field to a target data field. The set of processor units receiving a number of annotated examples of transformations from a source format to a target format. Based on the annotated examples, the set of processor units autogenerating a query language expression for transforming data items from the source format to the target format.

Abstract: The present disclosure relates to a method, apparatus, and system for realizing dynamic scheduling for a cinema and controlling playing of a movie. In particular, embodiments of the present invention relate to dynamic scheduling of content presentation in a cinema by collecting user preferences of a plurality of users, wherein the user preference specifies at least a movie that a user desires to watch, a time for watching the movie, a cinema for watching the movie, and a number of people watching the movie; generating, based on the collected user preferences, a respective dynamic schedule for at least one cinema of a plurality of cinemas according to one of a plurality of scheduling schemes; and transmitting the generated respective dynamic schedule to at least one second electronic apparatus corresponding to the at least one cinema.