Abstract: A machine provides a system and interface to allow domain experts and other users to develop, deploy, and iterate on analytical models. The machine facilitates building, deploying, and/or training analytical models by, e.g., exposing analytical model configuration parameters to a user while abstracting model building and model deployment activities. The machine can also determine resource loads or execution times for various analytical models and can schedule model execution accordingly. The machine also provides a dynamically reconfigurable user interface for controlling the system.

Abstract: A machine provides a system and interface to allow domain experts and other users to develop, deploy, and iterate on analytical models. The system facilitates building, deploying, and/or training analytical models, by, e.g., exposing analytical model configuration parameters to a user while abstracting model building and model deployment activities. The system can also determine resource loads or execution times for various analytical models and can schedule model execution accordingly. The system also provides a dynamically reconfigurable user interface for controlling the system.

Abstract: A machine provides a system and interface to deploy and manage pre-defined analytical models across various compute engines or run time environments, e.g., by exposing analytical model deployment and management parameters to a user while abstracting model deployment activities. The machine also determines proper run time environments for the pre-defined analytical model and verifies the pre-defined analytical model. The machine also provides a dynamically reconfigurable user interface for controlling the machine.

Abstract: A system maintains, generates, and manages layouts that map resources to control states of a robotic apparatus. The system may receive system control queries and produce search results and contextual information in response. The system may reference the system control queries against the layouts to determine the search results and contextual information. The contextual information may include operator-interactive tools that may be used to control the robotic apparatus. To control the apparatus, the system may generate control state update messages responsive to the operator interactions. The control state update messages may be sent to a control interface of the robotic device. The robotic device may execute an action responsive the receipt of the control state update message.

Abstract: A machine provides a system and interface to deploy and manage pre-defined analytical models across various compute engines or run time environments, e.g., by exposing analytical model deployment and management parameters to a user while abstracting model deployment activities. The machine also determines proper run time environments for the pre-defined analytical model and verifies the pre-defined analytical model. The machine also provides a dynamically reconfigurable user interface for controlling the machine.

Abstract: A machine provides a system and interface to allow domain experts and other users to develop, deploy, and iterate on analytical models. The system facilitates building, deploying, and/or training analytical models, by, e.g., exposing analytical model configuration parameters to a user while abstracting model building and model deployment activities. The system can also determine resource loads or execution times for various analytical models and can schedule model execution accordingly. The system also provides a dynamically reconfigurable user interface for controlling the system.

Abstract: A machine provides a system and interface to allow domain experts and other users to develop, deploy, and iterate on analytical models. The machine facilitates building, deploying, and/or training analytical models by, e.g., exposing analytical model configuration parameters to a user while abstracting model building and model deployment activities. The machine can also determine resource loads or execution times for various analytical models and can schedule model execution accordingly. The machine also provides a dynamically reconfigurable user interface for controlling the system.

Abstract: A system maintains, generates, and manages layouts that map resources to control states of a robotic apparatus. The system may receive system control queries and produce search results and contextual information in response. The system may reference the system control queries against the layouts to determine the search results and contextual information. The contextual information may include operator-interactive tools that may be used to control the robotic apparatus. To control the apparatus, the system may generate control state update messages responsive to the operator interactions. The control state update messages may be sent to a control interface of the robotic device. The robotic device may execute an action responsive the receipt of the control state update message.