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

Opportunities and limits of AI in climate modeling

Earth system models are the most important tools for quantitatively describing the physical state of Earth, and—for example, in the context of climate models—predicting how it might change in the future under the influence ...

Research offers path to end world hunger within decade

The world's small-scale farmers now can see a path to solving global hunger over the next decade, with solutions—such as adopting climate-resilient crops through improving extension services—all culled rapidly via artificial ...

Using deep learning to predict disease-associated mutations

During the past years, artificial intelligence (AI)—the capability of a machine to mimic human behavior—has become a key player in high-tech areas like drug development projects. AI tools help scientists to uncover the ...

What artificial intelligence can teach us about proteins

Proteins are vital parts of all living organisms and perform essential tasks in our bodies. They build and repair tissues, supply components of the immune and hormone systems, regulate metabolism, and transmit signals. Researchers ...