The revolutions in machine learning and artificial intelligence means much higher computational ability is required.

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Using an ensemble of artificial intelligence (AI) agents enabled faster, more accurate data analysis of synchrotron x-ray data.

Nanotechnology is necessary for computers to help us parse data (not to mention the sensors, cables, networks, and displays that connect computers to the rest of the world,) and data-driven investigation will be a mainstay of nanotechnology. Naturally, nanotechnology – the creation, manipulation, and application of parts and particles measured on a nanoscale – has developed alongside computer-driven data science. Advances in either field are soon met with applications in the other, and the progress of each has benefited as a result. Recently, scientists have noted how varying fields of endeavor, including nanotechnology and data-based sciences, appear to be converging. That is, advances in discrete fields are informed by – and are applicable – to cutting-edge research in separate fields.