New technique separates industrial noise from natural seismic signals

EurekAlert  May 19, 2020 In the past, human-caused seismic signals, as a result of industrial activities, were viewed as ‘noise’ that polluted a dataset, resulting in otherwise useful data being dismissed. A team of researchers in the US (Los Alamos National Laboratory, University of Washington) used a year’s worth of data from more than 1,700 seismic stations in the contiguous United States and detected approximately 1.5 million industrial noise sequences, which corresponds on average to around 2.4 detections per day at each station. With cloud computing that allows for greater scalability and flexibility, they were able to analyze large-scale seismic […]

Researchers suggest uncertainty may be key in battlefield decision making

Phys.org  July 13, 2018 A team of researchers in the US (U.S. Army Research Laboratory, Rensselaer Polytechnic Institute) discovered that being initially uncertain when faced with making critical mission-related decisions based on various forms of information may lead to better overall results in the end. According to the researchers as human cognition is limited in detecting good or bad information or processing large volumes of information, errors are inevitable; if an individual is not biased towards false information, systematic errors do not cascade in the network; high uncertainty can even help the decision maker to maximize the effect of small […]