Abstract: A system including a natural language processing interface to configure a user interface of a device to receive an input, understand an intent from the input, and send a second set of instructions to the device to operate the device to configure the user interface to display a feedback request and receive a second input, and a control system to select a model to transform the intent to an action to influence physical conditions of a building, determine a state of one or more components to perform the action, and send instructions to the one or more components to alter their operations to achieve the state.

Abstract: Disclosed herein are techniques for implementing a machine intelligence computer system that can proactively monitor user audiovisual feedbacks as ques for improving the machine learning and predictive data analytical processes. Based on the real-time feedbacks, the introduced proactive machine intelligence system (PMIS) can dynamically revise (e.g., by assigning different weights) and/or filter the gathered input data for machine learning purposes. The PMIS can also dynamically adjust the machine learning algorithms adapted in the predictive models based on user real-time feedbacks.