Abstract: The invention relates to heterocyclic compounds, pharmaceutically acceptable salts thereof, and pharmaceutical preparations thereof. Also described herein are compositions and the use of such compounds in methods of treating diseases and conditions mediated by deficient CFTR activity, in particular cystic fibrosis.

Abstract: A process for producing glass tubes includes: applying a glass melt onto an outer surface of a rotating conical mandrel by guiding the glass melt from a feed tank through an outlet; forming a hollow glass melt body on the conical mandrel; drawing the hollow glass melt body from the conical mandrel in a predetermined direction toward a front end for forming a glass tube, the outer surface having a wetting zone where the glass strand first contacts the conical mandrel, a spatial variation of the wetting zone of the applied glass melt being monitored by measuring a horizontal movement of an edge of the glass strand; reducing the spatial variation by adjusting one or more process parameters; cooling the hollow glass melt body; and cutting the cooled glass melt body into glass tubes.

Abstract: The invention relates to heterocyclic compounds, pharmaceutically acceptable salts thereof, and pharmaceutical preparations thereof. Also described herein are compositions and the use of such compounds in methods of treating diseases and conditions mediated by deficient CFTR activity, in particular cystic fibrosis.

Abstract: In various embodiments, a phrase grounding model automatically performs phrase grounding for a source sentence and a source image. The phrase grounding model determines that a first phrase included in the source sentence matches a first region of the source image based on the first phrase and at least a second phrase included in the source sentence. The phrase grounding model then generates a matched pair that specifies the first phrase and the first region. Subsequently, one or more annotation operations are performed on the source image based on the matched pair. Advantageously, the accuracy of the phrase grounding model is increased relative to prior art solutions where the interrelationships between phrases are typically disregarded.

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: A system for managing non-linear transmedia content data is provided. Memory stores a plurality of transmedia content data items and associated linking data which define time-ordered content links between the plurality of transmedia content data items. The plurality of transmedia content data items are arranged into linked transmedia content subsets comprising different groups of the transmedia content data items and different content links therebetween. A control engine receives one or more instructions to create a new time-ordered content link between at least two of the plurality of transmedia content data items. The control engine modifies the linking data stored in the memory to include the new time-ordered content link.

Abstract: In various embodiments, a relevance application quantifies how a trained neural network operates. In operation, the relevance application generates a set of input distributions based on a set of input points associated with the trained neural network. Each input distribution is characterized by a mean and a variance associated with a different neuron included in the trained neural network. The relevance application propagates the set of input distributions through a probabilistic neural network to generate at least a first output distribution. The probabilistic neural network is derived from at least a portion of the trained neural network. Based on the first output distribution, the relevance application computes a contribution of a first input point included in the set of input points to a difference between a first output point associated with a first output of the trained neural network and an estimated mean prediction associated with the first output.

Abstract: The present disclosure generally relates to a projection system with increased spatial resolution. The projection system includes one or more light sources, a spatial light modulator configured to reflect light received from the one or more light sources to generate a plurality of sub-images of a composite image, and an optical system configured to reflect each of the plurality of sub-images the sub-images at a different portion of a projection surface. By projecting the single composite image using a plurality of sub-images projected at different times and/or locations from one another, the composite full image has a higher resolution as compared to the resolution defined by the hardware of the spatial light modulator and light sources.

Abstract: The invention relates to systems and methods for manipulating non-linearly connected transmedia content, in particular for creating, processing and/or managing non-linearly connected transmedia content and for tracking content creation and attributing transmedia content to one or more creators. Specifically, the invention involves creating a transmedia content data item by a first user and storing the transmedia content data item in a data store, along with a record indicating an association between the first user and the transmedia content data item; creating an ordered group of transmedia content data items by a second user, the ordered group comprising a pointer to the transmedia content data item of the first user; and storing the ordered group and a record associating both the first user and the second user with the ordered group in the data store.

Abstract: Systems and methods are provided for a workflow framework that scriptwriters can utilize when developing scripts. A script can be parsed to identify one or more elements in a script, and various visual representations of the one or more elements and/or a scene characterized in the script can be automatically generated. A user may develop or edit the script which can be presented in a visual and temporal manner. Information parsed from the script can be stored in basic information elements, and used to create a knowledge bases.

Abstract: Novel systems and methods are described for creating, compressing, and distributing video or image content graded for a plurality of displays with different dynamic ranges. In implementations, the created content is “continuous dynamic range” (CDR) content—a novel representation of pixel-luminance as a function of display dynamic range. The creation of the CDR content includes grading a source content for a minimum dynamic range and a maximum dynamic range, and defining a luminance of each pixel of an image or video frame of the source content as a continuous function between the minimum and the maximum dynamic ranges. In additional implementations, a novel graphical user interface for creating and editing the CDR content is described.

Abstract: In particular embodiments, a 2D representation of an object may be provided. A first method may comprise: receiving sketch input identifying a target position for a specified portion of the object; computing a deformation for the object within the context of a character rig specification for the object; and displaying an updated version of the object. A second method may comprise detecting sketch input; classifying the sketch input, based on the 2D representation, as an instantiation of the object; instantiating the object using a 3D model of the object; and displaying a 3D visual representation of the object.

Abstract: Systems and methods are provided for a workflow framework that scriptwriters can utilize when developing scripts. A script can be parsed to identify one or more elements in a script, and various visual representations of the one or more elements and/or a scene characterized in the script can be automatically generated. A user may develop or edit the script which can be presented in a visual and temporal manner. Information parsed from the script can be stored in basic information elements, and used to create a knowledge bases.

Abstract: According to one implementation, a pose estimation and body tracking system includes a computing platform having a hardware processor and a system memory storing a software code including a tracking module trained to track motions. The software code receives a series of images of motion by a subject, and for each image, uses the tracking module to determine locations corresponding respectively to two-dimensional (2D) skeletal landmarks of the subject based on constraints imposed by features of a hierarchical skeleton model intersecting at each 2D skeletal landmark. The software code further uses the tracking module to infer joint angles of the subject based on the locations and determine a three-dimensional (3D) pose of the subject based on the locations and the joint angles, resulting in a series of 3D poses. The software code outputs a tracking image corresponding to the motion by the subject based on the series of 3D poses.

Abstract: In various embodiments, a relevance application quantifies how a trained neural network operates. In operation, the relevance application generates a set of input distributions based on a set of input points associated with the trained neural network. Each input distribution is characterized by a mean and a variance associated with a different neuron included in the trained neural network. The relevance application propagates the set of input distributions through a probabilistic neural network to generate at least a first output distribution. The probabilistic neural network is derived from at least a portion of the trained neural network. Based on the first output distribution, the relevance application computes a contribution of a first input point included in the set of input points to a difference between a first output point associated with a first output of the trained neural network and an estimated mean prediction associated with the first output.

Abstract: A system includes a memory configured to store a plurality of tools and a processor configured to use the plurality of tools. The processor uses the plurality of tools to retrieve historical information relating to a storyline, retrieve user information relating to user interactions with the storyline, provide the historical information and the user information for incorporating into the content, and generate the content using the historical information and the user information.

Abstract: According to one implementation, a pose estimation and body tracking system includes a computing platform having a hardware processor and a system memory storing a software code including a tracking module trained to track motions. The software code receives a series of images of motion by a subject, and for each image, uses the tracking module to determine locations corresponding respectively to two-dimensional (2D) skeletal landmarks of the subject based on constraints imposed by features of a hierarchical skeleton model intersecting at each 2D skeletal landmark. The software code further uses the tracking module to infer joint angles of the subject based on the locations and determine a three-dimensional (3D) pose of the subject based on the locations and the joint angles, resulting in a series of 3D poses. The software code outputs a tracking image corresponding to the motion by the subject based on the series of 3D poses.

Abstract: According to one implementation, a system for visualizing media content includes a computing platform including a hardware processor and a system memory, storing a content visualization software code. The hardware processor is configured to execute the content visualization software code to receive a media file, parse the media file to identify a primary content and metadata describing the primary content, and analyze the metadata to determine representative features of the primary content. The hardware processor further executes the content visualization software code to generate a circular visual representation of the primary content based on the metadata and the representative features, the circular visual representation having a non-linear correspondence to at least one of the representative features. The circular visual representation includes a central circle having a central radius, and multiple, at least semicircular segments, each having a respective radius greater than the central radius.

Abstract: In various embodiments, a phrase grounding model automatically performs phrase grounding for a source sentence and a source image. The phrase grounding model determines that a first phase included in the source sentence matches a first region of the source image based on the first phrase and at least a second phrase included in the source sentence. The phrase grounding model then generates a matched pair that specifies the first phrase and the first region. Subsequently, one or more annotation operations are performed on the source image based on the matched pair. Advantageously, the accuracy of the phrase grounding model is increased relative to prior art solutions where the interrelationships between phrases are typically disregarded.

Abstract: Disclosed is a system for linking transmedia content subsets. A memory stores a plurality of transmedia content data items and associated linking data, which define time-ordered content links between the transmedia content data items. The transmedia content data items are arranged into linked transmedia content subsets comprising different groups of the transmedia content data items and different content links therebetween; a transmedia content model that represents the transmedia content data items as nodes and the content links between the transmedia content data items as edges in one or more time-varying graphs. A processor is configured to associate the transmedia content data items with the time-ordered content links and store the linking data in the memory. It assigns the transmedia content data items to nodes of a graph structure, assign the time-ordered content links to edges of the graph structure, and store them in the transmedia content model.