Nature Machine Intelligence

Publishing online monthly from January 2019, Nature Machine Intelligence is interested in the best research from across the fields of artificial intelligence, machine learning and robotics.

Publisher
Springer Nature Publishing AG
Website
https://www.nature.com/natmachintell/
Some content from Wikipedia, licensed under CC BY-SA

Machine learning & AI

Using artificial intelligence to enhance complex systems

EPFL researchers have invented a way of automatically working out what data needs to be put into a complex system—such as a fiber optic network—in order to get the desired result. Their solution could prove especially ...

Machine learning & AI

Machine learning model predicts mortality in COVID-19 patients

Machine learning tools selected three biomarkers—lactic dehydrogenase, lymphocyte and high-sensitivity C-reactive protein levels—that can predict the mortality of COVID-19 patients from blood samples from 485 infected ...

Machine learning & AI

Artificial intelligence accelerates blood flow MRI

Imaging technology helps to detect cardiovascular diseases much earlier; however, precise examinations are still very time-consuming. Researchers from ETH and the University of Zurich have now presented a method that could ...

Computer Sciences

Researchers sniff out AI breakthroughs in mammal brains

When you smell an orange, the scent is most likely combined with several others: car exhaust, garbage, flowers, soap. Those smells bind simultaneously to the hundreds of receptors in your brain's olfactory bulb, obscuring ...

Machine learning & AI

Shaping the future of machine learning for active matter

Now researchers are presenting guidelines for how active matter, such as cells and microorganisms, can best be studied using machine learning techniques. The guidelines can help others navigate the new field, which can significantly ...

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