Keep the machines in mind; they are more pervasive than you might think. The good news is that making your pitch decks machine-readable is not actually hard to do.

Dean Ritz, board member at the Data Foundation, breaks down a policy paper he authored that provides an overview of why machine‐readable data matters, with theoretical and practical examples.

Researchers have developed a platform that uses artificial neural networks to translate chemical structural formulae into machine-readable form. With this platform, they have created a tool with ...

Machine-readable scientific knowledge is deposited in a data repository as reborn data of the article and interlinked with the article in DOI metadata.