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

Computer Sciences

AI learns to trace neuronal pathways

Cold Spring Harbor Laboratory (CSHL) scientists have taught computers to recognize a neuron in microscope images of the brain more efficiently than any previous approach. The researchers improved the efficiency of automated ...

Computer Sciences

Can a new algorithm make self-driving cars safer?

A driverless car isn't driven by a person but is controlled by a system of sensors and processors. In many countries, tests of autonomous driving have been happening for years. Germany wants to permit driverless cars across ...

Machine learning & AI

Q&A: The embedded ethics approach in AI development

The increasing use of AI (artificial intelligence) in the development of new medical technologies demands greater attention to ethical aspects. An interdisciplinary team at the Technical University of Munich (TUM) advocates ...

Machine learning & AI

New AI approach investigates multiple gene regulatory mechanisms

A research team from the Department of Computer Science and Engineering (CSE) at The Chinese University of Hong Kong (CUHK) has developed a new Gene Expression Embedding frameworK (GEEK), which uses artificial intelligence ...

Machine learning & AI

Applying machine learning to biomedical science

With potential application diagnosing cancer or predicting how viruses, such as HIV, attack human cells, machine learning is opening promising new areas of application for bioinformatics—the data science of molecular biology. ...

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 ...

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