POSTECH Develops Personalized Emotion Translation AI 'EmoSync'… Ranks in Top 5% at International Conference.

Imagine a computer that does not rely only on electronics but uses light to perform tasks faster and more efficiently. Collaboration between two research teams from Tampere University in Finland and Université Marie et Louis Pasteur in France, have now demonstrated a novel way for processing information using light and optical fibers, opening up the possibility to build ultra-fast computers.

Natural hydrogen-producing enzymes are large and extremely sensitive to oxygen. This makes it difficult to use them for the applied production of green hydrogen. Researchers from the Photobiotechnology group at Ruhr University Bochum and partners at the University of Potsdam, Germany, have found a way to bypass this problem: They transferred the iron-containing catalytic center of one such enzyme – [FeFe]-hydrogenase – into a ferredoxin. This small biomolecule acts as an electron carrier in all living organisms. The artificial biohybrid can efficiently produce hydrogen using electrons from light-powered biological systems. The researchers published their findings in the journal Advanced Science on Juni 17, 2025.

The Korea Institute of Machinery and Materials (KIMM, President Seog-Hyeon Ryu), affiliated with the National Research Council of Science and Technology (NST, Chairperson Yeung-Shik Kim), has successfully developed a CNC (Computer Numerical Control) system entirely with Korean technology.

The research group at the ISM-MCC Frontier Materials Design Laboratory (a joint research division of Mitsubishi Chemical Corporation (MCC) and the Institute of Statistical Mathematics (ISM)) has discovered a phenomenon known as the "scaling law^*a of Sim2Real transfer learning^*b" in the integrated analysis of large-scale computational materials property databases and experimental data, in collaboration with research groups from the National Institute for Materials Science (NIMS).