Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and modifying digital animations based on user interactions with a unique user interface portraying a one-dimensional layer motion element and/or elements for generating and utilizing animation path for digital design objects and animation layers. The disclosed system can provide a dynamic one-dimensional layer motion element that adapts to a selected animation layer and portrays selectable animation frames from the animation layer. The disclosed systems can provide options for generating and modifying various frames of the digital animation based on user interactions with the one-dimensional layer motion element, an animation timeline, and/or a corresponding animation canvas.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for rendering scene-aware audio based on acoustic properties of a user environment. For example, the disclosed system can use neural networks to analyze an audio recording to predict environment equalizations and reverberation decay times of the user environment without using a captured impulse response of the user environment. Additionally, the disclosed system can use the predicted reverberation decay times with an audio simulation of the user environment to optimize material parameters for the user environment. The disclosed system can then generate an audio sample that includes scene-aware acoustic properties based on the predicted environment equalizations, material parameters, and an environment geometry of the user environment.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and modifying digital animations based on user interactions with a unique user interface portraying a one-dimensional layer motion element and/or elements for generating and utilizing animation path for digital design objects and animation layers. The disclosed system can provide a dynamic one-dimensional layer motion element that adapts to a selected animation layer and portrays selectable animation frames from the animation layer. The disclosed systems can provide options for generating and modifying various frames of the digital animation based on user interactions with the one-dimensional layer motion element, an animation timeline, and/or a corresponding animation canvas.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and modifying digital animations based on user interactions with a unique user interface portraying a one-dimensional layer motion element and/or elements for generating and utilizing animation path for digital design objects and animation layers. The disclosed system can provide a dynamic one-dimensional layer motion element that adapts to a selected animation layer and portrays selectable animation frames from the animation layer. The disclosed systems can provide options for generating and modifying various frames of the digital animation based on user interactions with the one-dimensional layer motion element, an animation timeline, and/or a corresponding animation canvas.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for rendering scene-aware audio based on acoustic properties of a user environment. For example, the disclosed system can use neural networks to analyze an audio recording to predict environment equalizations and reverberation decay times of the user environment without using a captured impulse response of the user environment. Additionally, the disclosed system can use the predicted reverberation decay times with an audio simulation of the user environment to optimize material parameters for the user environment. The disclosed system can then generate an audio sample that includes scene-aware acoustic properties based on the predicted environment equalizations, material parameters, and an environment geometry of the user environment.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for rendering scene-aware audio based on acoustic properties of a user environment. For example, the disclosed system can use neural networks to analyze an audio recording to predict environment equalizations and reverberation decay times of the user environment without using a captured impulse response of the user environment. Additionally, the disclosed system can use the predicted reverberation decay times with an audio simulation of the user environment to optimize material parameters for the user environment. The disclosed system can then generate an audio sample that includes scene-aware acoustic properties based on the predicted environment equalizations, material parameters, and an environment geometry of the user environment.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for rendering scene-aware audio based on acoustic properties of a user environment. For example, the disclosed system can use neural networks to analyze an audio recording to predict environment equalizations and reverberation decay times of the user environment without using a captured impulse response of the user environment. Additionally, the disclosed system can use the predicted reverberation decay times with an audio simulation of the user environment to optimize material parameters for the user environment. The disclosed system can then generate an audio sample that includes scene-aware acoustic properties based on the predicted environment equalizations, material parameters, and an environment geometry of the user environment.

Abstract: Certain embodiments involve generating and providing spatial audio using a predictive model. For example, a generates, using a predictive model, a visual representation of visual content provideable to a user device by encoding the visual content into the visual representation that indicates a visual element in the visual content. The system generates, using the predictive model, an audio representation of audio associated with the visual content by encoding the audio into the audio representation that indicates an audio element in the audio. The system also generates, using the predictive model, spatial audio based at least in part on the audio element and associating the spatial audio with the visual element. The system can also augment the visual content using the spatial audio by at least associating the spatial audio with the visual content.

Abstract: Certain embodiments involve generating and providing spatial audio using a predictive model. For example, a generates, using a predictive model, a visual representation of visual content provideable to a user device by encoding the visual content into the visual representation that indicates a visual element in the visual content. The system generates, using the predictive model, an audio representation of audio associated with the visual content by encoding the audio into the audio representation that indicates an audio element in the audio. The system also generates, using the predictive model, spatial audio based at least in part on the audio element and associating the spatial audio with the visual element. The system can also augment the visual content using the spatial audio by at least associating the spatial audio with the visual content.

Abstract: Systems and methods for determining a relative quantity of recyclable items with respect to a total number of items are disclosed. In one embodiment of the present invention, a computer-implemented method includes reading an identifier respectively associated with at least some of a total number of items. The computer determines a number of identifiers associated with the recyclable items. The computer also receives the total number of items, and computes the relative quantity of recyclable items by dividing the number of identifiers associated with the recyclable items by the total number of items.

Abstract: Systems and methods for determining a relative quantity of recyclable items with respect to a total number of items are disclosed. In one embodiment of the present invention, a computer-implemented method includes reading an identifier respectively associated with at least some of a total number of items. The computer determines a number of identifiers associated with the recyclable items. The computer also receives the total number of items, and computes the relative quantity of recyclable items by dividing the number of identifiers associated with the recyclable items by the total number of items.

Abstract: Systems and methods for determining a relative quantity of recyclable items with respect to a total number of items are disclosed. In one embodiment of the present invention, a computer-implemented method includes reading an identifier respectively associated with at least some of a total number of items. The computer determines a number of identifiers associated with the recyclable items. The computer also receives the total number of items, and computes the relative quantity of recyclable items by dividing the number of identifiers associated with the recyclable items by the total number of items.

Abstract: In one embodiment of the present invention, a system includes a radio frequency identification (RFID) reader that is configured to obtain identification information from a plurality of RFID tags respectively attached to the plurality of items. A computer is configured to receive the identification information, and use the identification information to identify the items having a RFID tag attached thereto, and determine a percentage of a desired type of item with respect to the plurality of items.

Abstract: Systems and methods for determining a relative quantity of recyclable items with respect to a total number of items are disclosed. In one embodiment of the present invention, a computer-implemented method includes reading an identifier respectively associated with at least some of a total number of items. The computer determines a number of identifiers associated with the recyclable items. The computer also receives the total number of items, and computes the relative quantity of recyclable items by dividing the number of identifiers associated with the recyclable items by the total number of items.

Abstract: Systems and methods for determining a relative quantity of recyclable items, wherein the calculation is determined based on a total number of items. In one embodiment of the present invention, a computer-implemented method includes reading an identifier respectively associated with at least some of a total number of items. The computer determines a number of identifiers associated with the recyclable items. The computer also receives the total number of items, and computes the relative quantity of recyclable items by dividing the number of identifiers associated with the recyclable items by the total number of items.

Abstract: In one embodiment of the present invention, a system includes a radio frequency identification (RFID) reader that is configured to obtain identification information from a plurality of RFID tags respectively attached to the plurality of items. A computer is configured to receive the identification information, and use the identification information to identify the items having a RFID tag attached thereto, and determine a percentage of a desired type of item with respect to the plurality of items.

Abstract: Systems and methods for determining a relative quantity of recyclable items with respect to a total number of items are disclosed. In one embodiment of the present invention, a computer-implemented method includes reading an identifier respectively associated with at least some of a total number of items. The computer determines a number of identifiers associated with the recyclable items. The computer also receives the total number of items, and computes the relative quantity of recyclable items by dividing the number of identifiers associated with the recyclable items by the total number of items.

Abstract: Systems and methods for placing a radio frequency identifier (RFID) tag on a bale, reading the RFID tag on the bale, and updating a storage repository that includes information pertaining to the bale. The systems and methods can be used to allow inventory management of bales for quality control.

Abstract: The invention provides novel compositions, columns and methods for improved chromatographic separations. In particular, novel column packings are provided to improve overall chromatographic separation and efficiency. The invention provides a packing material having particles or mixtures of particles that are used for separation of small molecules, proteins or nucleic acids.