The research acknowledges that current "deep learning" approaches to ... supports arbitrary (pairwise) relational structure, and computations over graphs afford a strong relational inductive ...

In a leap forward for genetic and biomedical research, two scientists at the University of Missouri have developed a powerful ...

A research team from Kumamoto University has developed a promising deep learning model that ... like biological networks, molecular structures, and social graphs," says Assistant Professor Kiyama.

The future of deep learning has unfolded in unexpected ways, surpassing expert predictions and transforming industries from healthcare to transportation. Its ability to learn from vast data and make ...

Lin also emphasized that deep learning is not the end all ... this can lead to so-called explainable AI, using the structure of the knowledge graph as supporting evidence for answers, at the ...

Fusing dyes to antibodies or inserting genes coding for fluorescent proteins into the DNA of living cells can help scientists pick out the location of organelles, cytoskeletal elements, and other ...

In a major leap forward for genetic and biomedical research, scientists have developed a powerful new artificial intelligence tool that can predict the 3D shape of chromosomes inside individual cells ...