Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Would they go as far as to call them knowledge graphs? "We just call them computational graphs. All machine learning models are best expressed as graphs -- this is how TensorFlow works as well.

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...

A new tool helps scientists develop machine-learning models that generate ... for people with visual disabilities. Chart captions that explain complex trends and patterns are important for ...

Masu. With MLU-Explain, you can learn important knowledge about machine learning in an easy-to-understand way. In addition, MLU-Explain was released as a supplementary material for Amazon's AI ...

knowledge graphs, and transportation systems are pervasive in the natural world, where nodes are entities with features, and edges denote relations among them. Machine learning and recently, graph ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

According to the tally Google provided to MIT Technology Review, it published 218 journal or conference papers on machine learning in ... says Konrad Kording, a computational neuroscientist ...