Title: Artificial Intelligence for Industry 4.0 (IDEA-CM)
Ref.: TEC-2024/COM-89
Principal Investigator: Antonio Artés Rodríguez
Starting Date: 01/01/2025
Ending Date: 31/12/2027
Budget: 1.026.000 €
Background: The competitiveness of European industry is deeply linked to its ability to adopt and develop cutting-edge and innovative technologies. In this context, the integration of artificial intelligence (AI) into industrial processes is not just an opportunity but an imperative necessity. AI has the potential to significantly transform various aspects of the industry, from production to decision-making and organization. This transformation can translate into substantial improvements in efficiency, productivity, innovation, sustainability, cost reduction, process safety, and the quality and customization of products. To capitalize on these benefits, several key challenges must be faced and overcome in the development of new models, methods, and tools for industrial AI:
1. Real-time operation: The ability to process data and make decisions in real- time.
2. Scalability: The ability to adapt to multiple devices and industrial environments, managing various types of data and coordinating with different machines.
3. Interpretability and explainability: For AI systems to be truly useful and reliable, it is crucial that models are transparent and their decisions are understandable to human users.
4. Robustness and reliability: The ability to operate adequately even under extreme and unforeseen conditions.
5. Integration with other systems: The ability to seamlessly integrate with existing technologies and workflows in industrial environments. The IDEA-CM project aims to develop new AI algorithms capable of overcoming these challenges through the development of faster, more robust, and reliable learning, inference, and optimization methods. It will focus on advanced technologies such as Bayesian networks, graphs, and generative AI, promoting interpretability and allowing for scalability and integration into industrial environments.
Various real-world use cases will be explored, where optimization and decision-making problems will be solved by proposing models and algorithms that meet system specifications, including risk management, low computational complexity, and economic and environmental impact. The research team of the IDEA-CM program consists of five research groups whose principal investigators are members of the ELLIS Unit Madrid. The involvement of researchers from the ELLIS Unit Madrid, including its director, Prof. Pedro Larrañaga, guarantees the team’s ability and competence to face the described challenges and achieve the scientific objectives of the program. In summary, addressing these challenges is crucial for European industry to fully leverage the potential of AI and enhance its global competitiveness. The success of this project will not only enable significant technological advancements but also strengthen the position of European industry in the global market, promoting a more robust and sustainable economy.
More info: IDEA-CM website