Project goal and tasks:
Moore4Power aims to accelerate the development of next-generation sustainable power electronics in Europe by combining advanced semiconductor technologies into highly efficient, integrated systems. The project supports Europe’s goals for energy efficiency, decarbonization, and technological sovereignty in semiconductor manufacturing.
The initiative focuses on improving the performance, reliability, and compactness of power electronic solutions used in renewable energy systems, e-mobility, industrial automation, and AI-driven infrastructure. By applying a “More than Moore” approach, the project integrates silicon (Si), silicon carbide (SiC), and gallium nitride (GaN) technologies to create smarter and more energy-efficient power systems.
Project activities include the development of advanced power semiconductor technologies and integrated system architectures; the integration of Si, SiC, and GaN technologies into optimized multi-technology power solutions; improvements in energy efficiency, reliability, and miniaturization of power electronic systems; the development of advanced packaging and scalable manufacturing processes for next-generation semiconductor devices; the creation of digital design and process optimization platforms to support faster and more efficient development; support for sustainable semiconductor production methods and reduced environmental impact; strengthening European collaboration in semiconductor research and innovation through a consortium of industrial and research partners; and enabling future applications in renewable energy, electric mobility, industrial systems, and high-performance computing infrastructure.
Tasks to be performed by EDI
EDI will contribute to the development of a secure-by-design AI framework for power electronics monitoring and control, focusing on the protection of AI models and related infrastructure while maintaining real-time system performance. Activities include the development of hardware-accelerated encryption methods for AI models, secure generative AI solutions for training data generation, and methodologies for evaluating the security, performance, and robustness of protected AI models under different attack scenarios.
In addition, EDI will lead project quality and risk management activities, including risk identification, monitoring, and mitigation planning.
Moore4Power is supported by the Chips Joint Undertaking and its members, including the top-up funding by National Authorities under Grant Agreement No 101252572.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.
Participating scientists
Dr. sc. ing. Kaspars Ozols
Deputy director of development, Senior Researcher
+371 67558161[protected]
