Electronics and Telecommunications Research Institute (ETRI) announced that the “Continual and Compositional Knowledge Editing Technology (MemEIC),” jointly developed by the research team led by Director Lim Soo Jong of the Language Intelligence Research Section with Pohang University of Science and Technology and Sungkyunkwan University, was presented at NeurIPS 2025, the world's most prestigious AI conference, and held in San Diego, U.S., late last year.

A research team led by UCLA and the University of Rochester has demonstrated a promising evolution of an imaging system designed to capture details within “complex media,” which scatter light, from depicting structures inside body tissue to seeing obstacles through heavy fog. The system uses physics-based machine learning to improve upon an existing imaging technique. 

In tests with standard calibration images obscured by complex media, the new system more than doubled the signal-to-noise ratio compared to a previous generation of the technology. The system also created images in close to real time — thousandths of a second.