Deep learning for electron microscopy

Finding defects in electron microscopy images takes months. Now, there's a faster way. It's called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural networks—computational ...

Computing solutions for biological problems

Producing research outputs that have computational novelty and contributions, as well as biological importance and impacts, is a key motivator for computer scientist Xin Gao. His Group at KAUST has experienced a recent explosion ...

Brain function partly replicated by nanomaterials

The brain requires surprisingly little energy to adapt to the environment to learn, make ambiguous recognitions, have high recognition ability and intelligence, and perform complex information processing.

Parkinson-related protein is 'tunable'

Fibrils of the protein alpha-synuclein, that plays a role in Parkinson's disease, form a stiffer and stronger network in water, when temperature is increased. Researchers of the University of Twente show that this has to ...

What's the best way to rank research institutes?

(Phys.org)—Assessing and ranking research institutes is important for awarding grants, recruiting employees, promoting institutes, and other reasons. But finding a fair and accurate method for assessing the performance ...

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