Abstract: There is provided a system including a memory storing an executable code and a processor executing the executable code to provide access to a plurality of users to curate video clips stored in a content repository, wherein each video clip is associated with one of a plurality of ownership identifications, receive curation inputs from a user of one of a plurality of user devices arranging two or more video clips into a video compilation, wherein a first video clip is associated with the first ownership identification of a first content owner and a second video clip is associated with the second ownership identification of a second content owner, stream the video compilation to one or more of the plurality of user devices, and distribute a first fee to the first content owner and a second fee to the second content owner, in response to streaming the video compilation.

Abstract: A system providing a multi-persona social agent includes a computing platform having a hardware processor, a system memory storing a software code, and multiple neural network (NN) based predictive models accessible by the software code. The hardware processor executes the software code to receive input data corresponding to an interaction with a user, determine a generic expression for use in the interaction, and identify one of the character personas as a persona to be assumed by the multi-persona social agent. The software code also generates, using the generic expression and one of the NN based predictive models corresponding to the persona to be assumed by the multi-persona social agent, a sentiment driven personified response for the interaction with the user based on a vocabulary, phrases, and one or more syntax rules idiosyncratic to the persona to be assumed, and renders the sentiment driven personified response using the multi-persona social agent.

Abstract: A system includes a computing platform having processing hardware, one or more sensor(s), and a memory storing perception software and animation software, as well as an augmented reality (AR) headset including another processing hardware. The computing platform is configured to obtain an environmental data using the sensor(s), determine the location and orientation of the AR headset using the perception software and the environmental data, identify an action for execution by the computing platform, using the animation software and the location and orientation of the AR headset, and transmit performative data corresponding to the identified action to the AR headset. The AR headset is configured to receive, from the computing platform, the performative data, and to render at least one AR effect corresponding to the identified action using the performative data.

Abstract: Various embodiments disclosed herein provide techniques for performing incremental natural language understanding on a natural language understanding (NLU) system. The NLU system acquires a first audio speech segment associated with a user utterance. The NLU system converts the first audio speech segment into a first text segment. The NLU system determines a first intent based on a text string associated with the first text segment, wherein the text string represents a portion of the user utterance. The NLU system generates a first response based on the first intent prior to when the user utterance completes.

Abstract: According to one implementation, a system includes a computing platform having processing hardware, a system memory storing a software code; and a machine learning model based classifier. The processing hardware is configured to execute the software code to receive tagging quality assurance (QA) data including multiple terms applied as tags and corrections to those tags, to identify, using the tagging QA data, a first problematic term, and to classify, using the machine learning model based classifier, the first problematic term as one of confusing or flawed. The processing hardware is further configured to execute the software code to obtain, when the first problematic term is classified as confusing, a comparative sample for clarifying use of the first problematic term, and to obtain, when the first problematic term is classified as flawed, modification data for editing a predetermined annotation taxonomy including the first problematic term.

Abstract: Systems and methods are presented for generating statistics associated with a performance of a participant in an event, wherein pose data associated with the participant, performing in the event, are processed in real time. Pose data associated with the participant may comprise positional data of a skeletal representation of the participant. Actions performed by the participant may be determined based on a comparison of segments of the participant's pose data to motion patterns associated with actions of interests.

Abstract: One embodiment of the present disclosure sets forth a technique for analyzing network vulnerabilities. The technique includes determining an address for each target device included in a plurality of target devices; for each target device, assigning a port scanning task to an associated port scanning service, the port scanning task being associated with the target device via the address of the target device; for each port scanning task, receiving a port scanning result from the port scanning service assigned to the port scanning task, the port scanning result including a list of open ports for the target device associated with the port scanning task; for each open port included in each port scanning result, assigning a vulnerability scanning task to an associated vulnerability service; receiving a vulnerability scanning result for each vulnerability scanning task; and generating a report based on the port scanning results or the vulnerability scanning results.

Abstract: A method includes assessing an input in a buffer against a rule in a first node of a rule tree to determine that an action should be performed and updating the buffer with results of performing the action. The method also includes inserting an indication of the input, the rule, and the results of performing the action into a tracker log and passing the updated buffer to a second node in the rule tree in response to determining that the first node points to the second node.

Abstract: In various embodiments, a prediction subsystem automatically predicts a level of network availability of a device network. The prediction subsystem computes a set of predicted attribute values for a set of devices attributes associated with the device network based on a trained recurrent neural network (RNN) and set(s) of past attribute values for the set of device attributes. The prediction subsystem then performs classification operation(s) based on the set of predicted attribute values and one or more machine-learned classification criteria. The result of the classification operation(s) is a network availability data point that predicts a level of network availability of the device network. Preemptive action(s) are subsequently performed on the device network based on the network availability data point. By performing the preemptive action(s), the amount of time during which network availability is below a given level can be substantially reduced compared to prior art, reactive approaches.

Abstract: Systems and methods are described for dynamically adjusting an amount of retrieved recognition data based on the needs of a show, experience, or other event where participants are recognized. The retrieved recognition data may be deleted once it is no longer needed for the event. Recognition data retrieval is limited to just what is needed for the particular task, minimizing the uniqueness of any retrieved recognition data to respect participant privacy while providing an enhanced participant experience through recognition.

Abstract: A domain security assurance system includes a computing platform having processing hardware and a memory storing software code. The processing hardware is configured to execute the software code to obtain domain inventory data identifying multiple domains, to predict, using the domain inventory data, which of the domains are owned by the same entity to identify commonly owned domains, and to determine, using the domain inventory data and the commonly owned domains, which of the commonly owned domains are controlled by the same administrator to identify one or more group(s) of commonly administered domains. When executed, the software code also removes, using the domain inventory data, duplicate domains included in the group(s) to identify non-duplicate domains, evaluates a susceptibility of each of the non-duplicate domains to a cyber-attack to identify one or more target domain(s) vulnerable to the cyber-attack, and identifies the target domain(s) for a security assessment.

Abstract: Embodiments of the present disclosure are directed to methods and systems for generating three-dimensional (3D) models and facial hair models representative of subjects (e.g., actors or actresses) using facial scanning technology. Methods accord to embodiments may be useful for performing facial capture on subjects with dense facial hair. Initial subject facial data, including facial frames and facial performance frames (e.g., images of the subject collected from a capture system) can be used to accurately predict the structure of the subject’s face underneath their facial hair to produce a reference 3D facial shape of the subject. Likewise, image processing techniques can be used to identify facial hairs and generate a reference facial hair model. The reference 3D facial shape and reference facial hair mode can subsequently be used to generate performance 3D facial shapes and a performance facial hair model corresponding to a performance by the subject (e.g., reciting dialog).

Abstract: Embodiments disclosed herein provide techniques to selectively distribute Precision Time Protocol (PTP) data in a network. The network can include multiple different network devices (e.g., switches) connected to form a network architecture (e.g., a spine/leaf architecture). Rather than distributing the PTP data (e.g., PTP timestamps) through all the network devices in order to synchronize local clocks to a global, master clock, the embodiments herein describe an out-of-band distribution network which selectively distributes the PTP data to select network devices in the network.

Abstract: A system for monitoring and improving social agent interaction quality includes a computing platform having processing hardware and a system memory storing a software code. The processing hardware is configured to execute the software code to receive, from a social agent, interaction data describing an interaction of the social agent with a user, and to perform an assessment of the interaction, using the interaction data, as one of successful or including a flaw. When the assessment indicates that the interaction includes the flaw, the processing hardware is further configured to execute the software code to identify an interaction strategy for correcting the flaw, and to deliver, to the social agent, one or both of the assessment and the interaction strategy to correct the flaw in the interaction.

Abstract: Systems and methods are provided for a workflow framework that scriptwriters can utilize when developing (live-action/animation/cinematic) virtual reality (VR) experiences or content. A script can be parsed to identify one or more elements in a script, and a VR representation of the one or more elements can be automatically generated. A user may develop or edit the script which can be presented in a visual and temporal manner along with the VR representation. The user may edit the VR representation, and the visual and temporal presentation of the script can be commensurately represented. The script may be analyzed for consistency and/or cohesiveness in the context of the VR representation or experience. A preview of the VR experience or content can be generated from the script and/or the VR representation.

Abstract: Various embodiments of the invention disclosed herein provide techniques for frame-accurate navigation of a media file. A multi-pass encoding application executing on a media content server encodes a set of file-based images associated with a media file using a first set of encoding parameters to generate a first encoded media file. The multi-pass encoding application encodes the first encoded media file using a second set of encoding parameters to generate a second encoded media file. The first encoded media file and second encoded media file are stored on the media content server and/or or other media content servers. Content delivery applications executing on these media content servers receive a request associated with the media file from a web browsing application, determine a type of the web browsing application, and transmit either the first encoded media file or the second encoded media file based on the type of web browsing application.

Abstract: Embodiments provide for managing ownership of physical objects and digital counterparts using a distributed ledger and tokens stored on the physical objects. An example method generally includes reading, via a wireless data connection between a physical object and a mobile device, a token stored on the physical object. The token may include at least a unique identifier of the physical object. A request to transfer ownership of the physical object to an owner of the mobile device is generated, and the request may include at least the unique identifier of the physical object. The generated request is transmitted to a distributed ledger system, and a response is received from the distributed ledger system indicating whether the transfer was successful. The indication of whether the transfer was successful is displayed on the mobile device.