Abstract: A method performed by a processing system including at least one processor includes defining a proposal for a proposed machine learning model, identifying an existing machine learning model, where the existing machine learning model shares a similarity with the proposed machine learning model, evaluating a fitness of the existing machine learning model for reuse in building the proposed machine learning model, building a new machine learning model that is consistent with the proposal for the proposed machine learning model by reusing a portion of the existing machine learning model, and monitoring a performance of the new machine learning model in a deployment environment.

Abstract: A method performed by a processing system including at least one processor includes monitoring interactions of a human user with a platform for building machine learning models, where the human user is using the platform to build a new machine learning model, detecting, within the interactions, an event that triggers a suggestion feature, performing a search of a data source for existing data from existing machine learning models which can be reused to build the new machine learning model, using information about the event, presenting a suggestion to the human user to reuse a portion of the existing data discovered in the search in the new machine learning model, receiving a user feedback in response to the suggestion, and generating an updated suggestion in response to the user feedback.

Abstract: A method performed by a processing system including at least one processor includes detecting that new data has been added to a repository of reusable machine learning models and machine learning model features, applying data protection to the new data, testing the new data for bias, merging at least a portion of the new data with stored data from the repository to build a new machine learning model in which the data protection is preserved, and publishing the new machine learning model in the repository.

Abstract: A layered simulated flame mechanism for use in an electric fireplace, the layered simulated flame mechanism comprising: two or more video display surfaces, spaced apart, and oriented in layers relative to each other by one or more of (i) different elevations, (ii) different orientations in a horizontal plane, or (iii) different orientations in a vertical plane, one or more dedicated video processors transmitting flame videos onto each of the display surfaces, generating a simulated flame on each of the video display surfaces, wherein the spacing and orientation of the two or more video display surfaces relative to each other creates a three-dimensional flame appearance.

Abstract: A method performed by a processing system including at least one processor includes detecting that new data has been added to a repository of reusable machine learning models and machine learning model features, applying data protection to the new data, testing the new data for bias, merging at least a portion of the new data with stored data from the repository to build a new machine learning model in which the data protection is preserved, and publishing the new machine learning model in the repository.

Abstract: A method performed by a processing system including at least one processor includes detecting that new data has been added to a repository of reusable machine learning models and machine learning model features, applying data protection to the new data, testing the new data for bias, merging at least a portion of the new data with stored data from the repository to build a new machine learning model in which the data protection is preserved, and publishing the new machine learning model in the repository.

Abstract: A fireplace with a smart glass panel and use of a smart glass panel in a fireplace are provided. The fireplace comprises a heating mechanism, and a smart glass panel positioned proximate to the heating mechanism. The smart glass panel comprising a transparent pane, where at least a portion of the smart glass panel has optic or thermal transmission properties that may be altered between a first state and a second state.

Abstract: A method performed by a processing system including at least one processor includes defining a proposal for a proposed machine learning model, identifying an existing machine learning model, where the existing machine learning model shares a similarity with the proposed machine learning model, evaluating a fitness of the existing machine learning model for reuse in building the proposed machine learning model, building a new machine learning model that is consistent with the proposal for the proposed machine learning model by reusing a portion of the existing machine learning model, and monitoring a performance of the new machine learning model in a deployment environment.

Abstract: A method performed by a processing system including at least one processor includes monitoring interactions of a human user with a platform for building machine learning models, where the human user is using the platform to build a new machine learning model, detecting, within the interactions, an event that triggers a suggestion feature, performing a search of a data source for existing data from existing machine learning models which can be reused to build the new machine learning model, using information about the event, presenting a suggestion to the human user to reuse a portion of the existing data discovered in the search in the new machine learning model, receiving a user feedback in response to the suggestion, and generating an updated suggestion in response to the user feedback.

Abstract: A fireplace with a smart glass panel and use of a smart glass panel in a fireplace are provided. The fireplace comprises a heating mechanism, and a smart glass panel positioned proximate to the heating mechanism. The smart glass panel comprising a transparent pane, where at least a portion of the smart glass panel has optic or thermal transmission properties that may be altered between a first state and a second state.

Abstract: A height-adjustment mechanism may include an integral one-piece leverage body; an integral one-piece sleeve; and a locking member. In an embodiment, the integral one-piece leverage body has a handle, a pair of pivot pins projecting from opposed sides, a tongue projecting rearwardly, and a resilient biasing member projecting forwardly. These parts may be made of low cost materials suitable for integrally forming their features in an injection-moulding operation. Various features built in to these parts may provide a user with a sense of quality.

Abstract: The present invention provides a height-adjustment mechanism for an armrest. In an embodiment, a height-adjustment mechanism for an armrest includes an integral one-piece leverage body, and an integral one-piece sleeve. In an embodiment, the integral one-piece sleeve has pivot seats formed on a pair of locking arms depending from a first wall of the sleeve. These parts may be made of low cost materials suitable for integrally forming their features in an injection-moulding operation. Various features built into these parts may provide a user with a sense of quality.