Abstract: Disclosed implementations provide executable data, such as artificial intelligence models that can be owned, traded, and used in various execution environments. By coupling a model with a strictly defined interface definition, the model can be executed in various execution environments that support the interface. Coupling the model with a non-fungible cryptographic token allows the model and other components to be owned and traded as a unit. The tradeable composite units have utility across multiple supported execution environments, such as video game environments, chat bot environments and financial trading environments. Additionally, the interface allows for the creation of pipelines and systems from multiple complementary composite units.

Abstract: The present disclosure provides a method for configuring a learning model for music generation and the corresponding learning model. The method includes training a masked autoencoder with training data comprising a combination of a reconstruction loss over time and frequency domains and a patch-based adversarial objective operating at different resolutions. An omnidirectional latent diffusion model is trained based on music data represented in a latent space to obtain a pretrained diffusion model. The pretrained diffusion model is fine-tuned based on text-guided music generation, bidirectional music in-painting, and unidirectional music continuation. The method enables high-fidelity music generation conditioned on text or music representations while maintaining computational efficiency.

Abstract: Various embodiments of the disclosure are directed towards fenestration assemblies having a first pane; a second pane, the second pane spaced from the first pane; and a third pane configured in spaced relation between the first pane and the second pane, where the third pane is a laminate. In one aspect, the total thickness of the third pane laminate is not greater than 3 mm. In one aspect, the laminate comprises a first glass layer not greater than 1 mm thick and a second glass layer not greater than 1 mm thick, and an interlayer between first and second layers.

Abstract: Various embodiments for a laminate glass article and related methods are provided. The laminated glass article includes a first and second glass layers with an interlayer positioned therebetween, comprising: a polymer core layer comprising a high modulus polymer (e.g. polyethylene terephthalate, polycarbonate, polyacrylate, and polyimide); a first low modulus material layer (e.g. first TPU or first PVB or first EVA) configured between the first layer and the polymer core layer; and a second low modulus material layer (e.g. second TPU or second PVB or second EVA) configured between the second layer and the polymer core layer.

Abstract: Various embodiments of the disclosure are directed towards fenestration assemblies having a first pane; a second pane, the second pane spaced from the first pane; and a third pane configured in spaced relation between the first pane and the second pane, where the third pane is a laminate. In one aspect, the total thickness of the third pane laminate is not greater than 3 mm. In one aspect, the laminate comprises a first glass layer not greater than 1 mm thick and a second glass layer not greater than 1 mm thick, and an interlayer between first and second layers.

Abstract: Disclosed implementations provide executable data, such as artificial intelligence models that can be owned, traded, and used in various execution environments. By coupling a model with a strictly defined interface definition, the model can be executed in various execution environments that support the interface. Coupling the model with a non-fungible cryptographic token allows the model and other components to be owned and traded as a unit. The tradeable composite units have utility across multiple supported execution environments, such as video game environments, chat bot environments and financial trading environments. Additionally, the interface allows for the creation of pipelines and systems from multiple complementary composite units.

Abstract: A pallet comprising: (a) a base tray having one or more walls extending upward from the tray to create a perimeter around a central portion of the base tray; (b) an insert disposed on the central portion of the tray within the perimeter of the base tray, the insert being recessed from a terminal edge of the one or more walls; (c) a post secured within the perimeter of the tray and extend away from the base tray; and (d) a support assembly secured to the insert and positioned along the central portion of the base tray free of contact with the one or more walls, wherein the support includes a pair of support panels that are interconnected and secured to the insert free of an adhesive.

Abstract: A computer system and computer-implemented method for configuring attributes of at least one execution environment for an artificial intelligence (AI) agent is provided. The method includes executing an AI agent, the AI agent including a contextual memory associated with the AI agent, wherein the contextual memory is configured to store contextual data relating to experiences of the AI agent in the at least one execution environment. At least one biotag is derived from the contextual data, wherein the at least one biotag encapsulates experiences of the agent over time. In response to activity of the AI agent within the at least one execution environment, a subset of the at least one biotags is selected and attributes of the at least one execution environment are changed based on the biotag(s).

Abstract: A computation model package including a plurality of composite data structures, each of the composite data structures including, a pointer specifying execution data associated with a computation model, and an interface definition module. A package input interface is coupled to each of the input interfaces, wherein the package input interface is compatible with the input interface of each of the composite data units, the package input interface being configured for receiving package input data and transmitting the input data to each of the input interfaces. A blending unit includes a blending input interface coupled to each of the output interfaces, whereby output data of each of the composite data structures is input into the blending input interface. The blending computation model is configured to process data received by the blending input interface to thereby provide a combination of the computation models at the blending output interface.

Abstract: A tag that includes a stake portion, a connecting portion, and a display portion. The connecting portion is coupled to the stake portion by a first fold line. Additionally, the display portion is coupled to the connecting portion by a second fold line. Moreover, the tag is configured to be folded along the first fold line and the second fold line so that the display portion is positioned substantially parallel to the stake portion.

Abstract: The present disclosure provides a method for configuring a learning model for music generation and the corresponding learning model. The method includes training a masked autoencoder with training data comprising a combination of a reconstruction loss over time and frequency domains and a patch-based adversarial objective operating at different resolutions. An omnidirectional latent diffusion model is trained based on music data represented in a latent space to obtain a pretrained diffusion model. The pretrained diffusion model is fine-tuned based on text-guided music generation, bidirectional music in-painting, and unidirectional music continuation. The method enables high-fidelity music generation conditioned on text or music representations while maintaining computational efficiency.

Abstract: Various embodiments for a laminate glass article and related methods are provided. The laminated glass article includes a first glass layer and a second glass layer with a TPU interlayer positioned therebetween.

Abstract: Various embodiments for a laminate glass article and related methods are provided. The laminated glass article includes a first glass layer and a second glass layer with a TPU interlayer positioned therebetween.

Abstract: A pipeline (e.g., a DevOps or DevSecOps pipeline) may include utilities corresponding to stages within the pipeline. A device may execute the pipeline on a version of a codebase, where the version of the codebase is associated with an immutable identifier of a version control management system. The device may generate metadata for one or more of the utilities of the pipeline based executing the pipeline on the version of the codebase. The device may store the metadata at a database, where the immutable identifier is designated as a primary key for the stored metadata. The device may verify the metadata at one or more gates of the pipeline based on a comparison of the stored metadata to a set of policy information associated with the one or more gates.

Abstract: A computation model package including a plurality of composite data structures, each of the composite data structures including, a pointer specifying execution data associated with a computation model, and an interface definition module. A package input interface is coupled to each of the input interfaces, wherein the package input interface is compatible with the input interface of each of the composite data units, the package input interface being configured for receiving package input data and transmitting the input data to each of the input interfaces. A blending unit includes a blending input interface coupled to each of the output interfaces, whereby output data of each of the composite data structures is input into the blending input interface. The blending computation model is configured to process data received by the blending input interface to thereby provide a combination of the computation models at the blending output interface.

Abstract: A pipeline (e.g., a DevOps or DevSecOps pipeline) may include utilities corresponding to stages within the pipeline. A device may execute the pipeline on a version of a codebase, where the version of the codebase is associated with an immutable identifier of a version control management system. The device may generate metadata for one or more of the utilities of the pipeline based executing the pipeline on the version of the codebase. The device may store the metadata at a database, where the immutable identifier is designated as a primary key for the stored metadata. The device may verify the metadata at one or more gates of the pipeline based on a comparison of the stored metadata to a set of policy information associated with the one or more gates.

Abstract: A pallet comprising: (a) a base tray having one or more walls extending upward from the tray to create a perimeter around a central portion of the base tray; (b) an insert disposed on the central portion of the tray within the perimeter of the base tray, the insert being recessed from a terminal edge of the one or more walls; (c) a post secured within the perimeter of the tray and extend away from the base tray; and (d) a support assembly secured to the insert and positioned along the central portion of the base tray free of contact with the one or more walls, wherein the support includes a pair of support panels that are interconnected and secured to the insert free of an adhesive.

Abstract: Various embodiments for a laminate glass article and related methods are provided. The laminated glass article includes a first and second glass layers with an interlayer positioned therebetween, comprising: a polymer core layer comprising a high modulus polymer (e.g. polyethylene terephthalate, polycarbonate, polyacrylate, and polyimide); a first low modulus material layer (e.g. first TPU or first PVB or first EVA) configured between the first layer and the polymer core layer; and a second low modulus material layer (e.g. second TPU or second PVB or second EVA) configured between the second layer and the polymer core layer.

Abstract: Apparatus and related methods are provided for a laminate glass article, comprising: a first layer of a first material, the first sheet having a thickness less than 2 mm and a first coefficient of thermal expansion (CTE) measured over a range of from 0-300° C.; a second layer of a second material, the second sheet having a thickness greater than 2 mm and a second CTE greater than the first CTE; and a polymer interlayer between the first and second layers, wherein the first glass sheet has a surface compressive stress greater than 4 MPa.

Abstract: Disclosed implementations provide executable data, such as artificial intelligence models that can be owned, traded, and used in various execution environments. By coupling a model with a strictly defined interface definition, the model can be executed in various execution environments that support the interface. Coupling the model with a non-fungible cryptographic token allows the model and other components to be owned and traded as a unit. The tradeable composite units have utility across multiple supported execution environments, such as video game environments, chat bot environments and financial trading environments. Additionally, the interface allows for the creation of pipelines and systems from multiple complementary composite units that can be used to train other models and composite units.