Abstract: A method of processing steel grit may include moving steel grit into a pre-classifier, weighing the pre-classifier with steel grit being processed by the pre-classifier, and altering a functional process to process the steel grit based on the weight of the pre-classifier including the steel grit. A machine for processing steel grit may include a pre-classifier configured to process steel grit to remove debris from the steel grit. A support member may be configured to support the pre-classifier. Multiple rotatable link assemblies may connect the pre-classifier to the support member to enable the pre-classifier to freely rotate as a function of gravity when supported from the support member. A weight sensor may be configured to weigh the pre-classifier including steel grit contained in the pre-classifier.

Abstract: A system capable of generating and storing progress data associated with third party services. A voice enabled device may receive voice commands and the system may perform natural language understanding (NLU) to interpret the voice commands, determine a corresponding process and send instructions to a third party server associated with the process. In order to resume the process after the process is interrupted, the system may save and/or cause the third party server to save progress data and/or a checkpoint corresponding to a status of the process at the time that the process is interrupted. The system may use the progress data to resume the process at a later point based on the status. In addition, the system may track processes associated with saved progress data/checkpoints and may interpret incoming voice commands based on the tracked processes.

Abstract: A system capable of generating and storing progress data associated with third party services. A voice enabled device may receive voice commands and the system may perform natural language understanding (NLU) to interpret the voice commands, determine a corresponding process and send instructions to a third party server associated with the process. In order to resume the process after the process is interrupted, the system may save and/or cause the third party server to save progress data and/or a checkpoint corresponding to a status of the process at the time that the process is interrupted. The system may use the progress data to resume the process at a later point based on the status. In addition, the system may track processes associated with saved progress data/checkpoints and may interpret incoming voice commands based on the tracked processes.

Abstract: A system capable of generating and storing progress data associated with third party services. A voice enabled device may receive voice commands and the system may perform natural language understanding (NLU) to interpret the voice commands, determine a corresponding process and send instructions to a third party server associated with the process. In order to resume the process after the process is interrupted, the system may save and/or cause the third party server to save progress data and/or a checkpoint corresponding to a status of the process at the time that the process is interrupted. The system may use the progress data to resume the process at a later point based on the status. In addition, the system may track processes associated with saved progress data/checkpoints and may interpret incoming voice commands based on the tracked processes.

Abstract: A system capable of generating and storing progress data associated with third party services. A voice enabled device may receive voice commands and the system may perform natural language understanding (NLU) to interpret the voice commands, determine a corresponding process and send instructions to a third party server associated with the process. In order to resume the process after the process is interrupted, the system may save and/or cause the third party server to save progress data and/or a checkpoint corresponding to a status of the process at the time that the process is interrupted. The system may use the progress data to resume the process at a later point based on the status. In addition, the system may track processes associated with saved progress data/checkpoints and may interpret incoming voice commands based on the tracked processes.

Abstract: A system capable of generating and storing progress data associated with third party services. A voice enabled device may receive voice commands and the system may perform natural language understanding (NLU) to interpret the voice commands, determine a corresponding process and send instructions to a third party server associated with the process. In order to resume the process after the process is interrupted, the system may save and/or cause the third party server to save progress data and/or a checkpoint corresponding to a status of the process at the time that the process is interrupted. The system may use the progress data to resume the process at a later point based on the status. In addition, the system may track processes associated with saved progress data/checkpoints and may interpret incoming voice commands based on the tracked processes.