Have you ever wondered how pedestrians ‘know’ to fall into lanes when they are moving through a crowd, without the matter being discussed or even given conscious thought?

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Have you ever wondered how pedestrians ‘know’ to fall into lanes when they are moving through a crowd, without the matter being discussed or even given conscious thought?
Argonne scientists have received two high-profile grants from the U.S. Department of Energy that will help scientists at the U.S. National Laboratories take advantage of the latest developments in machine learning technology.
Using the cup-holding paradigm, new research indicates humans are able to switch abruptly and efficiently from one synchronous attractor to another, a mechanism that can be exploited for designing smart robots to adaptively handle complex objects in a changing environment.
The University of Washington will lead a new artificial intelligence research institute that will focus on fundamental AI and machine learning theory, algorithms and applications for real-time learning and control of complex dynamic systems, which describe chaotic situations where conditions are constantly shifting and hard to predict.
As Europe experienced its enormous second wave of the COVID-19 disease, researchers noticed the mortality rate was much lower than during the first wave. This inspired some to study and quantify the mortality rate on a country-by-country basis to determine how much the rate decreased. In Chaos, they introduce methods to study the progression of COVID-19 cases to deaths during the pandemic’s different waves; their methods involve applied mathematics, specifically nonlinear dynamics, and time series analysis.
A University of Washington team created Audeo, a system that can generate music using only visual cues of someone playing the piano.