New algorithm uses online learning for massive cell data sets

The fact that the human body is made up of cells is a basic, well-understood concept. Yet amazingly, scientists are still trying to determine the various types of cells that make up our organs and contribute to our health.

Deep learning stretches up to scientific supercomputers

Machine learning, a form of artificial intelligence, enjoys unprecedented success in commercial applications. However, the use of machine learning in high performance computing for science has been limited. Why? Advanced ...

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 ...

Evidence of the Higgs particle's decay in quarks

As part of the ATLAS collaboration, the Freiburg research group led by Prof. Dr. Karl Jakobs and Dr. Christian Weiser has contributed to finding strong evidence that, among other things, the Higgs particle decays into quarks. ...

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.

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 ...

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