News by Subject Technology & Engineering

DGIST made a small AESA radar system with a super-resolution algorithm. It is expected to make huge contributions to strengthening of Korean industries and defense capabilities with domestic technology.

DGIST announced on July 4 that Professor Min-Soo Kim's team in the Department of Information and Communication Engineering developed the DistME (Distributed Matrix Engine) technology that can analyze 100 times more data 14 times faster than the existing technologies. This new technology is expected to be used in machine learning that needs big data processing or various industry fields to analyze large-scale data in the future.

A weakness in one common open source software for genomic analysis left DNA-based medical diagnostics vulnerable to cyberattacks. Researchers at Sandia National Laboratories identified the weakness and notified the software developers, who issued a patch to fix the problem. The issue has also been fixed in the latest release of the software, and no attack from this vulnerability is known.

ORNL story tips: Study of waste soft drinks for carbon capture could help cut carbon dioxide emissions; sharing secret messages among three parties using quantum communications just got more practical for better cybersecurity; designed synthetic polymers can serve as high-performance binding material for next-generation li-ion batteries; high-fidelity modeling for predicting radiation interactions outside reactor core could keep nuclear reactors running longer; scientists looking to neural networks to create computers that mimic human brain.

Children need protection when using programmable Internet computing devices -- and Lancaster University scientists have drawn up new guidelines to help designers build in safeguards.