Using big data to combat catastrophes

In March 1989, a tripped circuit in the Hydro-Québec power grid left 6 million people without electricity. A week earlier, an unusually harsh snowstorm had strained the region; the day before, a solar flare and accompanying ...

Big data at the nanoscale

An international team of scientists, including physicists from the University of Luxembourg, have reported a comprehensive view-point on how machine learning approaches can be used in Nanoscience to analyze and extract new ...

Boosting computing power for the future of particle physics

A new machine learning technology tested by an international team of scientists including MIT Assistant Professor Philip Harris and postdoc Dylan Rankin, both of the Laboratory for Nuclear Science, can spot specific particle ...

Clear sight in the data fog with PAGA

Experimental molecular assays with single-cell resolution generate big and complex data. Researchers at Helmholtz Zentrum München and the Technical University of Munich are now presenting their computer algorithm PAGA. They ...

New technology for machine translation now available

A new methodology to improve machine translation has become available this month through the University of Amsterdam. The project DatAptor, funded by NWO/STW, increasingly advances translation machines by selecting data sets.

Getting the most out of atmospheric data analysis

New particle formation in the atmosphere provides the nucleation centres required for the formation of clouds, making it an important process for understanding climate. Efforts to investigate the complex balance of chemistry ...

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