“Hidden order in disorder” makes nanodevices easier to design
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 16:16 ET (29-Oct-2026 20:16 GMT/UTC)
POSTECH researchers develop a new analytical framework that reveals hidden periodicity in complex metasurfaces.
- Professor Min-Soo Kim’s research team in the School of Computing develops SafeQL, a technology that identifies and selectively corrects errors in AI-generated SQL queries
- SafeQL resolves execution errors in up to 87.4% of initially erroneous queries in international benchmark tests, while reducing token use by a factor of up to 15.1 and correction time by a factor of up to 29.6 compared with full query regeneration
- The technology corrects references to nonexistent database tables, columns, functions, and values, helping reduce enterprise AI operating costs and advance reliable AI work assistants
NSF CAREER Awards will support two five-year research projects aimed at advancing cybersecurity and AI-guided electrochemical technologies. One project will develop privacy-protecting cybersecurity approaches for AI-enabled devices operating at the edge of networks, including wearable health monitors. The other will use AI to examine how small organic molecules influence catalytic reactions, with the goal of capturing carbon dioxide and converting it more efficiently into fuels and other valuable chemicals.
The complex properties of spin glasses inspired aspects of modern AI software, and now physicists have produced an atomic-level spin glass that can store and recall memories. The new spin glass can retrieve complete memories from partial or degraded information, acting as an associative memory. It demonstrated memory recall storage capacity well beyond what was theorized for spin glass. While the study describes proof-of-principle work done with extremely cold atoms, the system could eventually point toward more efficient AI training and resource utilization.
While most believe artificial intelligence (AI) is changing science, researchers at the University of Notre Dame are exploring the reverse. In an article published in Chemical Reviews, AI and chemistry experts alike discussed how the intricacies of organic chemistry are changing the way researchers design AI technology, leading the way for a new generation of development.