The Universidad Carlos III de Madrid (UC3M) has released its 2023–2024 Research and Knowledge Transfer Report, highlighting significant progress in talent recruitment, competitive funding and the creation of technology-based companies. The report presents key figures on the University’s R&D+i activity and its alignment with the Sustainable Development Goals (SDGs), reflecting UC3M’s strong commitment to scientific excellence, innovation, and the transfer of knowledge to society.

The Paul Drude Institute for Solid State Electronics (PDI) in Berlin has partnered with London-based technology company Bizmuth MBE Ltd. to advance intelligent automation in materials growth. The project is among the first in Europe to apply large language models (LLMs) and multimodal AI to the autonomous control of molecular beam epitaxy (MBE). The goal is to develop AI-driven control software capable of real-time process adjustments. Gallium Nitride (GaN) will serve as a reference system before the technology is applied to more complex materials. The initiative aims to improve efficiency, reproducibility, and scalability in semiconductor research while reducing resource consumption. A fully operational AI-controlled MBE system is expected to be demonstrated by the end of 2025.

Researchers at Harbin Institute of Technology and Singapore Management University have developed LR-GCN, an advanced AI method that significantly improves how artificial intelligence handles incomplete data. By learning to recognize hidden patterns and connections, LR-GCN increases AI accuracy by up to 17% in predicting missing information, helping AI systems make better decisions in real-world scenarios.

Dynamic-EC, developed by researchers at Shanghai Jiao Tong University, introduces a smarter approach to blockchain storage by using real-time risk assessment to drastically lower costs and improve performance.