Abstract: A system for automatic and dynamic control of machine operations includes a connection to a machine external to the system; sensors configured and deployed to monitor an operation of the external machine and to generate sensor records; a sensor data processing apparatus configured and deployed to receive sensor records from the sensors, and to identify, based on the received sensor records, events and corresponding event conditions affecting an operation of the machine. The processing apparatus is further configured to identify a rule set that, when applied to the machine, alters the operation of the machine by the processing apparatus selectively prioritizing application of the rules to the machine by using only those rules that are operationally relevant to identified events and corresponding event conditions affecting the operation of the machine.

Abstract: System, methods, apparatuses, and computer program products are disclosed for searching a chemical structure database based on centroids. A query is executed against a chemical structure database by first vectorizing a molecular representation associated with the query into a query feature vector. The query feature vector is compared to centroid feature vectors to determine a centroid feature vector associated with a chemical structure representation that satisfies a similarity condition with the query feature vector. A first subset of the chemical structure database that includes chemical structures of the chemical structure database associated with the determined centroid feature vector is searched to determine whether the molecular representation associated with the query is present in the first subset of the chemical structure database.

Abstract: A system includes a plurality of sensors; a dynamically updateable rules engine coupled to the plurality of sensors; a data collection management module coupled to the dynamically updateable rules engine and the plurality of sensors; and a data storage and analysis inference module coupled to the data collection management module, the dynamically updateable rules engine and the plurality of sensors. Data from the plurality of sensors that is received by the dynamically updateable rules engine is transformed by the dynamically updateable rules engine by selectively executing rules based on conditions or events. The dynamically updateable rules engine is updated by the data storage and analysis inference module.

Abstract: A system includes a plurality of sensors; a dynamically updateable rules engine coupled to the plurality of sensors; a data collection management module coupled to the dynamically updateable rules engine and the plurality of sensors; and a data storage and analysis inference module coupled to the data collection management module, the dynamically updateable rules engine and the plurality of sensors. Data from the plurality of sensors that is received by the dynamically updateable rules engine is transformed by the dynamically updateable rules engine by selectively executing rules based on conditions or events. The dynamically updateable rules engine is updated by the data storage and analysis inference module.