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'Reading relationships, crunching stats'β€”184-times faster data analysis

11 June 2026 at 00:40
A research team at POSTECH led by Professor Wook-Shin Han of the Department of Computer Science and Engineering and the Graduate School of Artificial Intelligence, along with Ph.D. candidates Taesung Lee and Jaehyun Ha, has developed TurboLynx, an engine capable of analyzing complex, highly interconnected data up to 184 times faster than existing systems.

Long‑term data bottleneck resolved, paving the way for faster and safer data management

9 June 2026 at 23:20
Organizations today struggle to handle vast amounts of information stored across multiple databases, registers and systems. In his doctoral thesis, Romuald Esdras Wandji at the Department of Computing Science at UmeΓ₯ University presents a new solution that may transform how both humans and AI systems work with dataβ€”in a safer and more accessible way.

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