The paper elaborates on a technique for using knowledge graphs with machine learning ... including core machine learning projects such as novel neural architectures and other application areas ...

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

Humanity’s latest, greatest invention is stalling right out of the gate. Machine learning projects have the potential to help us navigate our most significant risks — including wildfires ...

and machine learning. According to Communications of the ACM (hereafter referred to as ACM), knowledge graphs are important for deepening understanding of ideas and technologies in a variety of ...

Half (48%) of developers believe machine learning projects are too time-consuming, according to new research from Civo. The study of more than 500 developers revealed that one-quarter (24% ...