Memristor-led system could be applied in areas including smart traffic image sorting and financial risk control scoring, study author says.

The system combines memristors—electronic components that mimic the memory function of the human brain—with an advanced sorting algorithm to process large amounts of information more efficiently.

However, using their new algorithm, Zhang and his collaborators unearthed a hypergraph model that accurately captured connections in the EEG data among three or more regions.

UB mathematician Naoki Masuda’s theory determines which data points matter most when calculating early warning signals.

"New algorithm cuts through 'noisy' data to better predict tipping points." ScienceDaily. ScienceDaily, 27 April 2024. <www.sciencedaily.com / releases / 2024 / 04 / 240426165214.htm>.