Abstract: A method and a system for estimating state of wear of a cutting tool mounted on a machine tool. The system includes an acquisition module configured to acquire at least one operating signal specific to the cutting tool during at least one interaction of introduction or of extraction between the cutting tool and the material to be machined, and a microprocessor configured to generate from the at least one operating signal a wear signature of the cutting tool and to determine the state of wear of the cutting tool as a function of the signature.

Abstract: A method of training a neural network to control an aircraft system. The method includes obtaining an operational mode data space representing a set of operational modes for the aircraft system, wherein each operational mode represents a configuration of the aircraft system where performance of an aircraft component is impaired according to an aircraft system model. Each operational mode includes probability data indicating a respective probability of the operational mode occurring, according to the model. The method includes generating a reduced operational mode data space including operational modes having a probability greater than a theoretical operational probability threshold, and generating a training operational mode data space including operational modes within the reduced operational mode data space that have a probability less than a real-world operational probability threshold. The method includes training the neural network using operational modes within the training operational mode data space.

Abstract: A method and a system for estimating state of wear of a cutting tool mounted on a machine tool. The system includes an acquisition module configured to acquire at least one operating signal specific to the cutting tool during at least one interaction of introduction or of extraction between the cutting tool and the material to be machined, and a microprocessor configured to generate from the at least one operating signal a wear signature of the cutting tool and to determine the state of wear of the cutting tool as a function of the signature.

Abstract: A system for assisting aircraft fault resolution by statistical inference of big data includes secure equipment including a plurality of databases storing big data concerning variables monitored during aircraft monitoring as well as an aggregator module. The system also includes an analyst module, outside the secure equipment, in communication with the aggregator module. The analyst module is used to define a statistical query to be processed by the aggregator module, which performs a statistical inference on the big data stored in the plurality of databases in order to respond to the statistical query. The aggregator module checks that the result of the statistical inference anonymizes the big data in question, and transmits the result of the statistical inference to the analyst module. Thus, the confidentiality of the big data is respected.

Abstract: A system includes a storage medium having stored instructions that when executed by a machine result in a clip entity associated with metadata and with at least one displayed object, and a clip tray having at least one stack, the at least one stack associated with a plurality of clip entities and to define an aggregation of metadata.