Abstract: A system and a method for operating a data center. The operating comprising executing predictive maintenance of the data center or network monitoring of the data center. The operating being based on a generated machine learning (ML) pipeline, the method comprising accessing data relating to operations of the data center, the data being suitable for evaluating respective performances of the plurality of ML pipelines. The method comprises generating the plurality of ML pipelines, selecting a sub-set of ML pipelines from the plurality of ML pipelines, evolving the sub-set of ML pipelines to generate evolved ML pipelines, selecting a sub-set of evolved ML pipelines from the evolved ML pipelines and iterating until determination is made that iterating is to be stopped. The method also involves operating, by an operation monitoring system of the data center, at least one of the ML pipelines from the sub-set of evolved ML pipelines.

Abstract: The invention relates to a method of stabilizing the images of a scene, acquired by means of an observation device of an imaging system, comprising the step of digital processing of a stream of successive images. It comprises a step of acquiring gyrometric measurements by means of at least one gyrometric sensor secured to the observation device, of using these gyrometric measurements to determine so-called approximate shifts undergone between successive images, and the image processing step comprising a sub-step of using the approximate shifts and the image stream acquired to determine so-called fine shifts undergone between successive images.

Abstract: The invention relates to a method of stabilizing the images of a scene, acquired by means of an observation device of an imaging system, comprising the step of digital processing of a stream of successive images. It comprises a step of acquiring gyrometric measurements by means of at least one gyrometric sensor secured to the observation device, of using these gyrometric measurements to determine so-called approximate shifts undergone between successive images, and the image processing step comprising a sub-step of using the approximate shifts and the image stream acquired to determine so-called fine shifts undergone between successive images.