Explainable AI for decoding genome biology

Researchers at the Stowers Institute for Medical Research, in collaboration with colleagues at Stanford University and Technical University of Munich have developed advanced explainable artificial intelligence (AI) in a technical ...

Evolutionary conflicts predicted

Evolution seems to be an unpredictable process. However, predicting the constraints of evolution is possible. Researchers from AMOLF and the French ESPCI have demonstrated this using their mathematical method, followed by ...

Molecular networks serve as cellular blueprints

Networks are at the heart of everything from communications systems to pandemics. Now researchers have found that a unique type of network also underlies the structures of critical cellular compartments known as membraneless ...

Making systems robust

The human body keeps the calcium concentration in the blood constant, similarly to an aircraft's autopilot keeping the plane at a constant altitude. What they have in common is that both the body and the autopilot employ ...

Predicting electricity demands

Research published in the International Journal of Energy Technology and Policy shows how a neural network can be trained with a genetic algorithm to forecasting short-term demands on electricity load. Chawalit Jeenanunta ...

Tree of life: Poplar studies yield human cancer insights

While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.

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 ...

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