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/
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Computer Sciences

New approach found for energy-efficient AI applications

Most new achievements in artificial intelligence (AI) require very large neural networks. They consist of hundreds of millions of neurons arranged in several hundred layers, i.e. they have very 'deep' network structures. ...

Computer Sciences

Researchers compute turbulence with artificial intelligence

For the first time, researchers at ETH Zurich have successfully automated the modeling of turbulence by combining fluid mechanics with artificial intelligence. Their project relies on fusing reinforcement learning algorithms ...

Computer Sciences

Study presents large brain-like neural networks for AI

In a new study in Nature Machine Intelligence, researchers Bojian Yin and Sander Bohté from the HBP partner Dutch National Research Institute for Mathematics and Computer Science (CWI) demonstrate a significant step towards ...

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