A team of researchers from KAIST, led by Professor Keon Jae Lee, has developed a new theoretical framework and research strategies for AI-powered wearable blood pressure sensors. This advancement ...

How is it happening? And whether there are computational algorithms we can leverage to make predictions about the historical development of word meanings.” The researchers published their findings on ...

These algorithms are significant because they can solve the noncommutative weighted Edmonds' problem in polynomial time, demonstrating that certain complex problems can be tackled efficiently [2].