In the ATIR 2.0 project, Gradiant will contribute its knowledge and experience in the key enabling digital technologies for the development of the proposed product. The goal of the collaboration is Gradiant’s participation in the project as a subcontractor to execute developments related to the design and implementation of Artificial Intelligence and Machine Learning algorithms for: the optimization of electrical generation processes through simulation; prediction of failures and energy produced by electrical generators; and interpretability of predictive models through xAI algorithms. It should be noted that the aim is not only to use existing algorithms adapted to the industrial sector use cases, but also to explore new algorithms and artificial intelligence techniques that enable machine learning focused on failure prediction in the manufacturing sector and dynamic asset management in industrial environments.
