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

CORNETO: Machine learning to decode complex omics data

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data. Details have been published ...

New AI models enhance protein data analysis for medical research

Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. The models could assist the medical sciences in overcoming present challenges within personalized medicine, drug ...

page 1 from 5